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| data science certificate google: Data Science Xiaohui Cheng, Weipeng Jing, Xianhua Song, Zeguang Lu, 2019-09-13 This two volume set (CCIS 1058 and 1059) constitutes the refereed proceedings of the 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019 held in Guilin, China, in September 2019. The 104 revised full papers presented in these two volumes were carefully reviewed and selected from 395 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including data mining; data base; net work; security; machine learning; bioinformatics; natural language processing; software engineering; graphic images; system; education; application. |
| data science certificate google: Digital Work in the Planetary Market Mark Graham, Fabian Ferrari, 2022-06-14 Understanding the embedded and disembedded, material and immaterial, territorialized and deterritorialized natures of digital work. Many jobs today can be done from anywhere. Digital technology and widespread internet connectivity allow almost anyone, anywhere, to connect to anyone else to communicate and exchange files, data, video, and audio. In other words, work can be deterritorialized at a planetary scale. This book examines the implications for both work and workers when work is commodified and traded beyond local labor markets. Going beyond the usual “world is flat” globalization discourse, contributors look at both the transformation of work itself and the wider systems, networks, and processes that enable digital work in a planetary market, offering both empirical and theoretical perspectives. The contributors—leading scholars and experts from a range of disciplines—touch on a variety of issues, including content moderation, autonomous vehicles, and voice assistants. They first look at the new experience of work, finding that, despite its planetary connections, labor remains geographically sticky and embedded in distinct contexts. They go on to consider how planetary networks of work can be mapped and problematized, discuss the productive multiplicity and interdisciplinarity of thinking about digital work and its networks, and, finally, imagine how planetary work could be regulated. Contributors Sana Ahmad, Payal Arora, Janine Berg, Antonio A. Casilli, Julie Chen, Christina Colclough, Fabian Ferrari, Mark Graham, Andreas Hackl, Matthew Hockenberry, Hannah Johnston, Martin Krzywdzinski, Johan Lindquist, Joana Moll, Brett Neilson, Usha Raman, Jara Rocha, Jathan Sadowski, Florian A. Schmidt, Cheryll Ruth Soriano, Nick Srnicek, James Steinhoff, Jara Rocha, JS Tan, Paola Tubaro, Moira Weigel, Lin Zhang |
| data science certificate google: Principles and Theories of Data Mining With RapidMiner Ramjan, Sarawut, Sunkpho, Jirapon, 2023-05-09 The demand for skilled data scientists is rapidly increasing as more organizations recognize the value of data-driven decision- making. Data science, data management, and data mining are all critical components for various types of organizations, including large and small corporations, academic institutions, and government entities. For companies, these components serve to extract insights and value from their data, empowering them to make evidence-driven decisions and gain a competitive advantage by discovering patterns and trends and avoiding costly mistakes. Academic institutions utilize these tools to analyze large datasets and gain insights into various scientific fields of study, including genetic data, climate data, financial data, and in the social sciences they are used to analyze survey data, behavioral data, and public opinion data. Governments use data science to analyze data that can inform policy decisions, such as identifying areas with high crime rates, determining which regions need infrastructure development, and predicting disease outbreaks. However, individuals who are not data science experts, but are experts within their own fields, may need to apply their experience to the data they must manage, but still struggle to expand their knowledge of how to use data mining tools such as RapidMiner software. Principles and Theories of Data Mining With RapidMiner is a comprehensive guide for students and individuals interested in experimenting with data mining using RapidMiner software. This book takes a practical approach to learning through the RapidMiner tool, with exercises and case studies that demonstrate how to apply data mining techniques to real-world scenarios. Readers will learn essential concepts related to data mining, such as supervised learning, unsupervised learning, association rule mining, categorical data, continuous data, and data quality. Additionally, readers will learn how to apply data mining techniques to popular algorithms, including k-nearest neighbor (K-NN), decision tree, naïve bayes, artificial neural network (ANN), k-means clustering, and probabilistic methods. By the end of the book, readers will have the skills and confidence to use RapidMiner software effectively and efficiently, making it an ideal resource for anyone, whether a student or a professional, who needs to expand their knowledge of data mining with RapidMiner software. |
| data science certificate google: Data Strategy Bernard Marr, 2021-10-03 BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category (1st edition) Data is an integral strategic asset for all businesses. Learn how to leverage this data and generate valuable insights and true business value with bestselling author and data guru Bernard Marr. Data has massive potential for all businesses when used correctly, from small organizations to tech giants and huge multinationals, but this resource is too often not fully utilized. Data Strategy is the must-read guide on how to create a robust, data-driven approach that will harness the power of data to revolutionize your business. Explaining how to collect, use and manage data, this book prepares any organization with the tools and strategies needed to thrive in the digital economy. Now in its second edition, this bestselling title is fully updated with insights on understanding your customers and markets and how to provide them with intelligent services and products. With case studies and real-world examples throughout, Bernard Marr offers unrivalled expertise on how to gain the competitive advantage in a data-driven world. |
| data science certificate google: Analytics and Knowledge Management Suliman Hawamdeh, Hsia-Ching Chang, 2018-08-06 The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms. |
| data science certificate google: Data Science Careers, Training, and Hiring Renata Rawlings-Goss, 2019-08-02 This book is an information packed overview of how to structure a data science career, a data science degree program, and how to hire a data science team, including resources and insights from the authors experience with national and international large-scale data projects as well as industry, academic and government partnerships, education, and workforce. Outlined here are tips and insights into navigating the data ecosystem as it currently stands, including career skills, current training programs, as well as practical hiring help and resources. Also, threaded through the book is the outline of a data ecosystem, as it could ultimately emerge, and how career seekers, training programs, and hiring managers can steer their careers, degree programs, and organizations to align with the broader future of data science. Instead of riding the current wave, the author ultimately seeks to help professionals, programs, and organizations alike prepare a sustainable plan for growth in this ever-changing world of data. The book is divided into three sections, the first “Building Data Careers”, is from the perspective of a potential career seeker interested in a career in data, the second “Building Data Programs” is from the perspective of a newly forming data science degree or training program, and the third “Building Data Talent and Workforce” is from the perspective of a Data and Analytics Hiring Manager. Each is a detailed introduction to the topic with practical steps and professional recommendations. The reason for presenting the book from different points of view is that, in the fast-paced data landscape, it is helpful to each group to more thoroughly understand the desires and challenges of the other. It will, for example, help the career seekers to understand best practices for hiring managers to better position themselves for jobs. It will be invaluable for data training programs to gain the perspective of career seekers, who they want to help and attract as students. Also, hiring managers will not only need data talent to hire, but workforce pipelines that can only come from partnerships with universities, data training programs, and educational experts. The interplay gives a broader perspective from which to build. |
| data science certificate google: How to Think about Data Science Diego Miranda-Saavedra, 2022-12-23 This book is a timely and critical introduction for those interested in what data science is (and isn’t), and how it should be applied. The language is conversational and the content is accessible for readers without a quantitative or computational background; but, at the same time, it is also a practical overview of the field for the more technical readers. The overarching goal is to demystify the field and teach the reader how to develop an analytical mindset instead of following recipes. The book takes the scientist’s approach of focusing on asking the right question at every step as this is the single most important factor contributing to the success of a data science project. Upon finishing this book, the reader should be asking more questions than I have answered. This book is, therefore, a practising scientist’s approach to explaining data science through questions and examples. |
| data science certificate google: Data Science and Security Dharm Singh Jat, Samiksha Shukla, Aynur Unal, Durgesh Kumar Mishra, 2020-07-31 This book presents best selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2020), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during 13–14 March 2020. The proceeding will be targeting the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing and cloud computing. |
| data science certificate google: Data Science Thinking Longbing Cao, 2018-08-17 This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists? Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective. |
| data science certificate google: Wasted Education John D. Skrentny, 2023 We are living in an era of veritable STEM obsession. Not only do tech companies dominate our cultural imagination of American enterprise and financial growth, we urgently need science-based solutions to impending crises. As a society, we have poured enormous resources into cultivating young minds for STEM careers. The US sponsors 209 distinct STEM education programs in 13 different federal agencies at a cost of more than $3 billion. This spending is on top of countless initiatives from philanthropic foundations and corporate giving. And yet, we are facing a STEM worker crisis. In this project, sociologist John D. Skrentny asks, if we're investing so much in STEM education, why are as many as 75% of graduates with STEM degrees opting out of STEM careers? The problem is not education, he argues, but the available jobs. Skrentny aims to bring a reality check to America's growing dedication to STEM education. Each chapter highlights an aspect of STEM work culture that drives away bright minds, ranging from workplace culture and burn and churn management practices, to lack of job security, to the constant need for training on new innovations, to the racism and sexism that exclude non-white and Asian people and women. Skrentny shows that if we have any hope of crafting science-based solutions to many of our most urgent societal issues, we have to change the way we're treating these workers on whom our future depends-- |
| data science certificate google: A Decade of MOOCs and Beyond Irwin King, Wei-I Lee, 2022-12-14 This book is an academic publication about the global development of massive open online courses (MOOCs) and major MOOC platforms worldwide in the past decade, as well as the outlook of MOOCs in the future, with an emphasis on Greater China. The book also discusses the upsurge of the demand for online learning and MOOCs during the COVID-19 pandemic. The book is divided into three main parts - Part I: Overview of MOOCs introduces the origin and history of MOOCs and the development of MOOC platforms in Greater China and the global context; Part II: Key Issues discuss the MOOC policies, innovative pedagogy, technology, and ecosystems worldwide; and Part III: Beyond MOOCs probes into the roles and benefits of MOOCs in times of crises, as well as the outlook of MOOCs in the future. In terms of topic diversity, the book contains a comprehensive investigation of the past and latest MOOC developments, extracting and elaborating on relevant information regarding platforms, policies, pedagogy, technology, and ecosystems. Subsequently, in-depth analyses of MOOC data are utilized to deduce the current trends related to the MOOC movement and to extrapolate the likeliest direction of development for MOOCs in the years to come. The book can inform policymakers, education institutions, course instructors, platform developers, investors, researchers, and individual learners of MOOCs about critical information on the present and future of MOOC development, assisting them in making crucial decisions on what initiatives can optimize their advantages in the sector. |
| data science certificate google: Connected Intelligence Charlie Morgan, 2024-07-08 Discover the Future of Innovation Are you ready to step into the future where Artificial Intelligence and the Internet of Things converge to revolutionize every aspect of our lives? This groundbreaking book dives deep into this transformative era, unveiling the limitless possibilities that await. Interest: Imagine a world where your home anticipates your needs, where cities are smart and responsive, and where healthcare is personalized and proactive. Through rich, insightful chapters, explore how AI and IoT are reshaping industries across the spectrum– from smart homes to intelligent cities, from cutting-edge healthcare to advanced agriculture. Feel the pulse of innovation as you navigate through enthralling chapters on core concepts, smart homes, intelligent cities, and beyond. Discover real-world applications and success stories that showcase the extraordinary potential of AIoT, while uncovering the ethical considerations and challenges that come with this exciting new frontier. Desire: Envision the limitless potential of AIoT in revolutionizing manufacturing, transforming retail experiences, optimizing energy use, and enhancing transportation systems. Unearth the secrets of precision farming, AI-powered security, and smart grids. With captivating insights on every page, you'll find yourself captivated by the boundless opportunities and innovations that AI and IoT present. Join the pioneers of tomorrow. Action: Don't miss your chance to be at the forefront of a technological revolution. Whether you're a tech enthusiast, a business leader, or simply curious about the future, this book provides a comprehensive guide to navigating the new world shaped by AI and IoT. Grab your copy today and start exploring the future that is already here. |
| data science certificate google: Termux MasterClass Phillemon Neluvhalani, Termux MasterClass is a comprehensive guide designed to help you unlock the full potential of Termux, a powerful terminal emulator for Android. This book is perfect for tech enthusiasts, developers, cybersecurity professionals, and anyone looking to explore Linux capabilities directly from their Android devices. Whether you’re just getting started with Termux or seeking to master its advanced features, this guide offers a wealth of knowledge to elevate your skills. You'll start by understanding the purpose and functionalities of Termux, learning how to set it up correctly from GitHub rather than the Play Store, and mastering its basic commands to use it efficiently. As you progress, you'll discover how to make Termux truly your own by customizing the environment—changing its appearance, configuring different shells, and optimizing package customizations for enhanced usability. Security is paramount, and this book will guide you through securing your Termux setup with best practices, from managing user permissions to using encryption tools. You’ll gain insight into safeguarding your environment against potential threats, ensuring your data remains private and secure. For those interested in productivity, Termux Masterclass covers how to automate tasks with scripts, schedule commands, and integrate Termux with other apps like Tasker. You'll learn how to use Termux-API for advanced automation, enabling you to streamline your workflows and boost efficiency. Networking and connectivity are crucial in today’s digital age, and this book shows you how to set up SSH connections, configure VPNs, and utilize network diagnostic tools, all within Termux. You'll explore various networking challenges and how to tackle them using this versatile tool. Going beyond basic usage, the guide delves into advanced package management and application integration. You’ll discover how to install additional development tools, use termux-tools for efficient package management, and connect Termux with other services to expand its capabilities. To make the learning process more practical, the book includes real-world applications and case studies. These scenarios demonstrate how to apply Termux in various fields, from enterprise mobile development to network security automation, showcasing its versatility and effectiveness. Troubleshooting guidance and best practices are also provided to help you overcome common challenges and maximize your productivity with Termux. You'll find tips and techniques to ensure a smooth and efficient experience. Finally, the book looks to the future, exploring trends and developments in the Termux ecosystem, along with suggestions for further exploration and learning. Termux Masterclass is not just a manual; it's an essential resource that empowers you to turn your Android device into a powerful, portable computing environment. Whether you are using Termux for personal projects, professional development, or just out of curiosity, this book provides everything you need to master this versatile tool and take your tech skills to new heights. |
| data science certificate google: Proceedings of the 11th Annual Generalized Intelligent Framework for Tutoring (GIFT) Users Symposium (GIFTSym11) Benjamin Goldberg, 2023-07-01 Welcome to the Proceedings of the 11th Annual GIFT User Symposium! This year we are celebrating 11 years of GIFT Symposiums and have accepted 15 papers for publication. All of the presentations that occurred at GIFTSym11, and the papers in this volume show the versatility of the Generalized Intelligent Framework for Tutoring (GIFT), and the work that is being done with GIFT. GIFT is an open-source intelligent tutoring system (ITS) architecture that is freely available online at GIFTtutoring.org. There are both Cloud and Downloadable version of GIFT. GIFT has been developed with multiple goals in mind including supporting ITS research, and simplified creation of ITSs and Adaptive Instructional Systems (AISs). Our fantastic team, and our program committee did a great job supporting the development of GIFTSym11, reviewing papers, and assisting with the facilitation of the event this year. We want to recognize them for their efforts: • Benjamin Goldberg • Gregory Goodwin • Michele Myers • Alexandra Lutz • Randall Spain • Lisa N. Townsend We were very pleased to have GIFTSym11 return to being an in-person event this year! Additionally, this was our first year offering a hybrid option for attendees. We are very happy that both modalities were well attended! |
| data science certificate google: Organizing for Generative AI and the Productivity Revolution Arthur J. O’Connor, |
| data science certificate google: Data-Driven HR Bernard Marr, 2023-12-03 How can HR professionals utilize and leverage their organization's data effectively, with the use of AI, for more talent attraction, better employee engagement and higher talent retention to ultimately drive performance? AI is now an integral part of being data-driven. With this updated edition of Data-Driven HR, practitioners can unlock business potential and success through data and analytics. Covering topics such as recruitment, employee engagement, performance management, wellbeing and training, HR practitioners can benefit from knowing how to really be data-driven through the use of data and AI. HR teams will learn how to identify business goals, scrutinize useful sources of data and gain rich and diverse insights from their vast amounts of data. This book brings guidance on how to manage challenges that come with data and AI, as well as how to responsibly and transparently use data to improve decision making. It also includes predictive analytics and how to place warning systems into databases for any potential workforce issues. Packed with practical advice, key takeaways and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations. |
| data science certificate google: Cybersecurity Data Science Scott Mongeau, Andrzej Hajdasinski, 2021-10-01 This book encompasses a systematic exploration of Cybersecurity Data Science (CSDS) as an emerging profession, focusing on current versus idealized practice. This book also analyzes challenges facing the emerging CSDS profession, diagnoses key gaps, and prescribes treatments to facilitate advancement. Grounded in the management of information systems (MIS) discipline, insights derive from literature analysis and interviews with 50 global CSDS practitioners. CSDS as a diagnostic process grounded in the scientific method is emphasized throughout Cybersecurity Data Science (CSDS) is a rapidly evolving discipline which applies data science methods to cybersecurity challenges. CSDS reflects the rising interest in applying data-focused statistical, analytical, and machine learning-driven methods to address growing security gaps. This book offers a systematic assessment of the developing domain. Advocacy is provided to strengthen professional rigor and best practices in the emerging CSDS profession. This book will be of interest to a range of professionals associated with cybersecurity and data science, spanning practitioner, commercial, public sector, and academic domains. Best practices framed will be of interest to CSDS practitioners, security professionals, risk management stewards, and institutional stakeholders. Organizational and industry perspectives will be of interest to cybersecurity analysts, managers, planners, strategists, and regulators. Research professionals and academics are presented with a systematic analysis of the CSDS field, including an overview of the state of the art, a structured evaluation of key challenges, recommended best practices, and an extensive bibliography. |
| data science certificate google: Big Data Is Not a Monolith Cassidy R. Sugimoto, Hamid R. Ekbia, Michael Mattioli, 2016-10-21 Perspectives on the varied challenges posed by big data for health, science, law, commerce, and politics. Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identify linguistic correlations in large corpuses of texts. This book examines big data not as an undifferentiated whole but contextually, investigating the varied challenges posed by big data for health, science, law, commerce, and politics. Taken together, the chapters reveal a complex set of problems, practices, and policies. The advent of big data methodologies has challenged the theory-driven approach to scientific knowledge in favor of a data-driven one. Social media platforms and self-tracking tools change the way we see ourselves and others. The collection of data by corporations and government threatens privacy while promoting transparency. Meanwhile, politicians, policy makers, and ethicists are ill-prepared to deal with big data's ramifications. The contributors look at big data's effect on individuals as it exerts social control through monitoring, mining, and manipulation; big data and society, examining both its empowering and its constraining effects; big data and science, considering issues of data governance, provenance, reuse, and trust; and big data and organizations, discussing data responsibility, “data harm,” and decision making. Contributors Ryan Abbott, Cristina Alaimo, Kent R. Anderson, Mark Andrejevic, Diane E. Bailey, Mike Bailey, Mark Burdon, Fred H. Cate, Jorge L. Contreras, Simon DeDeo, Hamid R. Ekbia, Allison Goodwell, Jannis Kallinikos, Inna Kouper, M. Lynne Markus, Michael Mattioli, Paul Ohm, Scott Peppet, Beth Plale, Jason Portenoy, Julie Rennecker, Katie Shilton, Dan Sholler, Cassidy R. Sugimoto, Isuru Suriarachchi, Jevin D. West |
| data science certificate google: Business Intelligence Career Master Plan Eduardo Chavez, Danny Moncada, 2023-08-31 Learn the foundations of business intelligence, sector trade-offs, organizational structures, and technology stacks while mastering coursework, certifications, and interview success strategies Purchase of the print or Kindle book includes a free PDF eBook Key Features Identify promising job opportunities and ideal entry point into BI Build, design, implement, and maintain BI systems successfully Ace your BI interview with author's expert guidance on certifications, trainings, and courses Book DescriptionNavigating the challenging path of a business intelligence career requires you to consider your expertise, interests, and skills. Business Intelligence Career Master Plan explores key skills like stacks, coursework, certifications, and interview advice, enabling you to make informed decisions about your BI journey. You’ll start by assessing the different roles in BI and matching your skills and career with the tech stack. You’ll then learn to build taxonomy and a data story using visualization types. Additionally, you’ll explore the fundamentals of programming, frontend development, backend development, software development lifecycle, and project management, giving you a broad view of the end-to-end BI process. With the help of the author’s expert advice, you’ll be able to identify what subjects and areas of study are crucial and would add significant value to your skill set. By the end of this book, you’ll be well-equipped to make an informed decision on which of the myriad paths to choose in your business intelligence journey based on your skill set and interests.What you will learn Understand BI roles, roadmap, and technology stack Accelerate your career and land your first job in the BI industry Build the taxonomy of various data sources for your organization Use the AdventureWorks database and PowerBI to build a robust data model Create compelling data stories using data visualization Automate, templatize, standardize, and monitor systems for productivity Who this book is for This book is for BI developers and business analysts who are passionate about data and are looking to advance their proficiency and career in business intelligence. While foundational knowledge of tools like Microsoft Excel is required, having a working knowledge of SQL, Python, Tableau, and major cloud providers such as AWS or GCP will be beneficial. |
| data science certificate google: Data Science in Context Alfred Z. Spector, Peter Norvig, Chris Wiggins, Jeannette M. Wing, 2022-10-20 Data science is the foundation of our modern world. It underlies applications used by billions of people every day, providing new tools, forms of entertainment, economic growth, and potential solutions to difficult, complex problems. These opportunities come with significant societal consequences, raising fundamental questions about issues such as data quality, fairness, privacy, and causation. In this book, four leading experts convey the excitement and promise of data science and examine the major challenges in gaining its benefits and mitigating its harms. They offer frameworks for critically evaluating the ingredients and the ethical considerations needed to apply data science productively, illustrated by extensive application examples. The authors' far-ranging exploration of these complex issues will stimulate data science practitioners and students, as well as humanists, social scientists, scientists, and policy makers, to study and debate how data science can be used more effectively and more ethically to better our world. |
| data science certificate google: Women of Color in Tech Susanne Tedrick, 2020-03-18 Highly Commended International Business Book from the 2021 Business Book Awards Nonfiction Book Awards Silver Winner from the Nonfiction Authors Association Winner of CompTIA's 2020 Diversity Technology Leader Spotlight Award Winner of a Technology Rising Star Award from the 2020 Women of Color in STEM Conference Break through barriers to achieve a rewarding future in tech Women of Color in Tech: A Blueprint for Inspiring and Mentoring the Next Generation of Technology Innovators will help you overcome the obstacles that often prevent women of color from pursuing and staying in tech careers. Contrary to popular belief, tech careers are diverse and fun—and they go far beyond just coding. This book will show you that today's tech careers are incredibly dynamic, and you'll learn how your soft skills—communication, public speaking, networking—can help you succeed in tech. This book will guide you through the process of cultivating strong relationships and building a network that will get you were you want to be. You'll learn to identify a strong, knowledgeable support network that you can rely on for guidance or mentorship. This step is crucial in getting young women of color into tech careers and keeping them there. Build your professional network to get the guidance you need Find a mentor who understands your goals and your struggles Overcome negativity and stay motivated through difficult times Identify and develop the soft skills that you need to get ahead in tech Read this book to help bring to life your vision of a future in tech. With practical advice and inspiring stories, you’ll develop the right tools and the right mindset. Whether you're just considering going into tech or you want to take your current career to the next level, Women of Color in Tech will show you how to uncover the resources you need to succeed. |
| data science certificate google: The Mystery Justin Nyoni, 2023-06-27 The Mystery: The Supernatural Life and Teaching of Prophet Emmanuel Makandiwa is an awe-inspiring exploration into the remarkable journey of one of the world's most renowned prophets. This captivating book unveils the extraordinary life and teachings of Prophet Emmanuel Makandiwa, a man divinely appointed to bring light to the darkest corners of humanity. Step into a world where the supernatural meets the natural, where miracles are a daily occurrence, and where the boundless power of faith unlocks doors to infinite possibilities. Through riveting accounts and profound insights, this book takes you on a transformative expedition into the realm of the miraculous. Discover the captivating story of Prophet Makandiwa, from his humble beginnings to his rise as a globally acclaimed spiritual leader. Journey alongside him as he encounters divine encounters, prophetic visions, and angelic interventions. Marvel at the astonishing healings, deliverances, and supernatural breakthroughs that accompany his ministry, leaving an indelible impact on countless lives. In The Mystery, you will witness the unveiling of profound truths that will ignite your faith and awaken your spiritual senses. Experience the depths of the supernatural as you delve into the teachings and revelations that have revolutionized the lives of millions. Gain insights into the principles of faith, the power of prayer, and the mysteries of divine guidance, all imparted through the profound teachings of Prophet Makandiwa. Prepare to be enthralled as you explore the supernatural realm that lies beyond the physical senses. Encounter the miraculous firsthand through testimonies of transformed lives, financial breakthroughs, physical healings, and restored relationships. Unleash the hidden potential within you as you tap into the secrets of the supernatural life. The Mystery goes beyond mere entertainment; it is a transformative guide that will empower you to embrace your own divine destiny. Embark on a journey of spiritual awakening, as you discover your true purpose and unlock the supernatural abilities within. Through the revelations shared in this book, you will be equipped to navigate life's challenges with unwavering faith, wisdom, and spiritual discernment. Whether you are a devoted follower of Prophet Emmanuel Makandiwa or a seeker of truth and spiritual enlightenment, The Mystery will captivate your heart and mind. Prepare to be immersed in a world where the supernatural reigns supreme, and miracles become an everyday occurrence. Experience the extraordinary, unlock the secrets of the supernatural, and embrace a life of limitless possibilities. Let The Mystery: The Supernatural Life and Teaching of Prophet Emmanuel Makandiwa become your guide to a profound spiritual awakening and a deeper understanding of the wonders that await you in the divine realm. Unlock the secrets of the supernatural and embark on a life-altering journey today. |
| data science certificate google: Introduction to Biomedical Data Science Robert Hoyt, Robert Muenchen, 2019-11-24 Overview of biomedical data science -- Spreadsheet tools and tips -- Biostatistics primer -- Data visualization -- Introduction to databases -- Big data -- Bioinformatics and precision medicine -- Programming languages for data analysis -- Machine learning -- Artificial intelligence -- Biomedical data science resources -- Appendix A: Glossary -- Appendix B: Using data.world -- Appendix C: Chapter exercises. |
| data science certificate google: Advances in Data Science, Cyber Security and IT Applications Auhood Alfaries, Hanan Mengash, Ansar Yasar, Elhadi Shakshuki, 2019-12-20 This book constitutes the refereed proceedings of the First International Conference on Intelligent Cloud Computing, ICC 2019, held in Riyadh, Saudi Arabia, in December 2019. The two-volume set presents 53 full papers, which were carefully reviewed and selected from 174 submissions. The papers are organized in topical sections on Cyber Security; Data Science; Information Technology and Applications; Network and IoT. |
| data science certificate google: The Future of Cloud Computing_ Al-Driven Deep Learning and Neural Network Innovations Sanjay Ramdas Bauskar, Mohit Surender Reddy, Manikanth Sarisa, SIDDHARTH KONKIMALLA, ...... |
| data science certificate google: Data Science Secrets Jay Samson, 2019-09-01 Data Science Secrets is the #1 strategy guide to break into the field of data and get hired as a Data Scientist, Data Analyst, or Data Engineer. This was created by a group of top Data Scientists and Data Hiring Managers in Silicon Valley to share the secrets of landing your dream job. Here's what's included: Top Interview Questions from companies like Google, Facebook, Amazon, Airbnb, and many more, plus detailed sections on how to answer the questions effectively and get hired. The 8 Week Strategy to find your dream job: learn how to get interviews with your top companies, and more importantly- succeed and get an incredible job offer. Online Learning Breakdown: we go deep into the pros and cons of the online learning options to help you find the right platform for youIn-depth explanations of data roles. There are literally hundreds of different roles and job titles in the world of data- how do you know which is right for you? This section will help you understand how to pursue the role that is the best fit for you |
| data science certificate google: English for Professional Environment Яна Гудкова, Мария Самолетова, 2022-12-06 Электронное учебное пособие предназначено для студентов 3-4 курсов бакалавриата естественно-научных направлений подготовки. Данное учебное пособие разработано на модульной основе и содержит аутентичные материалы профессиональной направленности по развитию навыков чтения, аудирования и говорения. Особенностью пособия является использование современных видео ресурсов для изучения английского языка. Модули пособия являются независимыми разделами, что предполагает индивидуальную траекторию использования материалов. Каждый модуль содержит ключи, таким образом, данное учебное пособие можно рекомендовать как для аудиторной, так и для самостоятельной работы. Публикуется в авторской редакции. |
| data science certificate google: Data Science Job: How to become a Data Scientist Przemek Chojecki, 2020-01-31 We’re living in a digital world. Most of our global economy is digital and the sheer volume of data is stupendous. It’s 2020 and we’re living in the future. Data Scientist is one of the hottest job on the market right now. Demand for data science is huge and will only grow, and it seems like it will grow much faster than the actual number of data scientists. So if you want to make a career change and become a data scientist, now is the time. This book will guide you through the process. From my experience of working with multiple companies as a project manager, a data science consultant or a CTO, I was able to see the process of hiring data scientists and building data science teams. I know what’s important to land your first job as a data scientist, what skills you should acquire, what you should show during a job interview. |
| data science certificate google: Roundtable on Data Science Postsecondary Education National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Division on Engineering and Physical Sciences, Board on Science Education, Computer Science and Telecommunications Board, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, 2020-10-02 Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and government gathered with other experts from across the nation to discuss various topics under this charge. The meetings centered on four central themes: foundations of data science; data science across the postsecondary curriculum; data science across society; and ethics and data science. This publication highlights the presentations and discussions of each meeting. |
| data science certificate google: Data-Driven Intelligent Business Sustainability Singh, Sonia, Rajest, S. Suman, Hadoussa, Slim, Obaid, Ahmed J., Regin, R., 2023-12-05 Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats. The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success. |
| data science certificate google: Digital Dreams Rajesh Vasant Upasani, 2024-05-01 Greetings, dear readers! Embarking on a journey towards a fulfilling career is both exciting and challenging, especially in the dynamic world of Information Technology (IT). As the author of Digital Dreams I am thrilled to guide you through the diverse landscape of IT-related jobs available for Indian students. In the ever-evolving digital era, India has emerged as a global IT hub, presenting a myriad of opportunities for aspiring individuals. This book is crafted with the intention of serving as your trusted companion in understanding, exploring, and ultimately pursuing a rewarding career in the field of IT. Within these pages, you will discover valuable insights into various IT roles, ranging from Data Entry Operator to Software Engineer. I have endeavoured to present complex information in a simple and accessible manner, ensuring that both beginners and those familiar with the IT realm can grasp the nuances of each job profile. Digital Dreams aims to demystify the IT industry and empower you to make informed decisions about your professional journey. Whether you are a student contemplating your career path or someone seeking a transition into the IT sector, this book will provide you with the knowledge and confidence to navigate the exciting opportunities that lie ahead. As we delve into the pages of Digital Dreams”, let us embark together on a journey of exploration, learning, and growth. May this guide serve as a beacon, helping you navigate the vast and ever-changing landscape of IT careers in India. Wishing you success and fulfilment in your IT endeavours! Warm regards, RajeshVasant Upasani |
| data science certificate google: Data Science for Decision Makers Jon Howells, 2024-07-26 Bridge the gap between business and data science by learning how to interpret machine learning and AI models, manage data teams, and achieve impactful results Key Features Master the concepts of statistics and ML to interpret models and guide decisions Identify valuable AI use cases and manage data science projects from start to finish Empower top data science teams to solve complex problems and build AI products Purchase of the print Kindle book includes a free PDF eBook Book DescriptionAs data science and artificial intelligence (AI) become prevalent across industries, executives without formal education in statistics and machine learning, as well as data scientists moving into leadership roles, must learn how to make informed decisions about complex models and manage data teams. This book will elevate your leadership skills by guiding you through the core concepts of data science and AI. This comprehensive guide is designed to bridge the gap between business needs and technical solutions, empowering you to make informed decisions and drive measurable value within your organization. Through practical examples and clear explanations, you'll learn how to collect and analyze structured and unstructured data, build a strong foundation in statistics and machine learning, and evaluate models confidently. By recognizing common pitfalls and valuable use cases, you'll plan data science projects effectively, from the ground up to completion. Beyond technical aspects, this book provides tools to recruit top talent, manage high-performing teams, and stay up to date with industry advancements. By the end of this book, you’ll be able to characterize the data within your organization and frame business problems as data science problems.What you will learn Discover how to interpret common statistical quantities and make data-driven decisions Explore ML concepts as well as techniques in supervised, unsupervised, and reinforcement learning Find out how to evaluate statistical and machine learning models Understand the data science lifecycle, from development to monitoring of models in production Know when to use ML, statistical modeling, or traditional BI methods Manage data teams and data science projects effectively Who this book is for This book is designed for executives who want to understand and apply data science methods to enhance decision-making. It is also for individuals who work with or manage data scientists and machine learning engineers, such as chief data officers (CDOs), data science managers, and technical project managers. |
| data science certificate google: Data Science for Undergraduates National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Board on Science Education, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, Computer Science and Telecommunications Board, Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective, 2018-10-11 Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field. |
| data science certificate google: DevOps for Data Science Alex Gold, 2024-06-19 Data Scientists are experts at analyzing, modelling and visualizing data but, at one point or another, have all encountered difficulties in collaborating with or delivering their work to the people and systems that matter. Born out of the agile software movement, DevOps is a set of practices, principles and tools that help software engineers reliably deploy work to production. This book takes the lessons of DevOps and aplies them to creating and delivering production-grade data science projects in Python and R. This book’s first section explores how to build data science projects that deploy to production with no frills or fuss. Its second section covers the rudiments of administering a server, including Linux, application, and network administration before concluding with a demystification of the concerns of enterprise IT/Administration in its final section, making it possible for data scientists to communicate and collaborate with their organization’s security, networking, and administration teams. Key Features: • Start-to-finish labs take readers through creating projects that meet DevOps best practices and creating a server-based environment to work on and deploy them. • Provides an appendix of cheatsheets so that readers will never be without the reference they need to remember a Git, Docker, or Command Line command. • Distills what a data scientist needs to know about Docker, APIs, CI/CD, Linux, DNS, SSL, HTTP, Auth, and more. • Written specifically to address the concern of a data scientist who wants to take their Python or R work to production. There are countless books on creating data science work that is correct. This book, on the otherhand, aims to go beyond this, targeted at data scientists who want their work to be than merely accurate and deliver work that matters. |
| data science certificate google: Still Room for Humans Stan Schatt, 2023-04-12 Don’t let artificial intelligence and robots steal your job! Still Room for Humans is the only survival guide you need in order to stay employable in the future. This book will teach you how to: make yourself indispensable to your company, develop soft skills that robots and AI cannot match, collaborate with robots, retool your skills without going back to school. You will also learn which traditionally safe careers and entire industries will no longer be safe in the future because of artificial intelligence. The author details why the changes caused by disruptive technology will be far greater and take place far faster than in previous industrial revolutions. This book offers several ways to cope with the introduction of artificial intelligence and robotics to a company or organization as well as how to take advantage of the disruption likely to result from other new technologies including 3D printing, the Internet of Things, virtual reality, green technologies, Big Data, blockchain, and nanotechnology. Still Room for Humans spells out the types of jobs long associated with well-paying careers that should be avoided because they are most likely to be eliminated by artificial intelligence. It lists several new jobs that don’t exist yet but will be created shortly as new technologies become more prevalent. Schatt provides career planning information as well as specific advice for those readers already employed. |
| data science certificate google: Cybersecurity Jobs & Career Paths Bruce Brown, 2023-03-19 I am in cybersecurity but I am not a hacker! This field has many branches and not all of them are deeply technical or hands on. Some of these jobs are high-paying with salaries up to 6 figures. According to the White House, there are 700,000 cybersecurity positions open today. There is a good chance that you fit into some of these roles. Using the techniques in this series, you can be a part of one of the fastest, highest-paid career paths in IT. In this book we talk about: - A federal cybersecurity workforce framework - Explore the cybersecurity categories - Expand on cybersecurity special areas - Connect work roles to current cybersecurity market |
| data science certificate google: Principles of Managerial Statistics and Data Science Roberto Rivera, 2020-01-31 Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, and data wrangling. Chapters include multiple examples showing the application of the theoretical aspects presented. It features practice problems designed to ensure that readers understand the concepts and can apply them using real data. Over 100 open data sets used for examples and problems come from regions throughout the world, allowing the instructor to adapt the application to local data with which students can identify. Applications with these data sets include: Assessing if searches during a police stop in San Diego are dependent on driver’s race Visualizing the association between fat percentage and moisture percentage in Canadian cheese Modeling taxi fares in Chicago using data from millions of rides Analyzing mean sales per unit of legal marijuana products in Washington state Topics covered in Principles of Managerial Statistics and Data Science include:data visualization; descriptive measures; probability; probability distributions; mathematical expectation; confidence intervals; and hypothesis testing. Analysis of variance; simple linear regression; and multiple linear regression are also included. In addition, the book offers contingency tables, Chi-square tests, non-parametric methods, and time series methods. The textbook: Includes academic material usually covered in introductory Statistics courses, but with a data science twist, and less emphasis in the theory Relies on Minitab to present how to perform tasks with a computer Presents and motivates use of data that comes from open portals Focuses on developing an intuition on how the procedures work Exposes readers to the potential in Big Data and current failures of its use Supplementary material includes: a companion website that houses PowerPoint slides; an Instructor's Manual with tips, a syllabus model, and project ideas; R code to reproduce examples and case studies; and information about the open portal data Features an appendix with solutions to some practice problems Principles of Managerial Statistics and Data Science is a textbook for undergraduate and graduate students taking managerial Statistics courses, and a reference book for working business professionals. |
| data science certificate google: Mastering Business Intelligence (BI) Cybellium Ltd, Unleash the Power of Data with Mastering Business Intelligence (BI) In today's data-driven world, businesses rely on Business Intelligence (BI) to transform raw data into actionable insights. BI professionals are at the forefront of this revolution, enabling organizations to make informed decisions and gain a competitive edge. Mastering Business Intelligence (BI) is your comprehensive guide to excelling in the world of BI, providing you with the knowledge, skills, and strategies to become a data-savvy expert. Your Path to BI Excellence Business Intelligence is not just about collecting data; it's about turning it into meaningful information and driving strategic outcomes. Whether you're new to BI or an experienced professional aiming to sharpen your skills, this book will empower you to master the art of Business Intelligence. What You Will Discover BI Fundamentals: Gain a deep understanding of BI concepts, methodologies, and tools, from data warehousing to data visualization. Data Analysis: Dive into data analysis techniques, data modeling, and data manipulation to extract valuable insights from diverse datasets. Data Visualization: Learn the art of storytelling through data with effective data visualization and reporting techniques. BI Tools and Technologies: Explore popular BI tools like Tableau, Power BI, and QlikView, and discover how to leverage them for maximum impact. Data Governance and Ethics: Understand the importance of data governance, data quality, and ethical considerations in BI. Career Advancement: Explore career pathways in the BI field and learn how mastering BI can open doors to exciting job opportunities. Why Mastering Business Intelligence (BI) Is Essential Comprehensive Coverage: This book provides comprehensive coverage of BI topics, ensuring you have a well-rounded understanding of BI concepts and applications. Expert Guidance: Benefit from insights and advice from experienced BI professionals and industry experts who share their knowledge and best practices. Career Advancement: BI offers a wide range of career opportunities, and this book will help you unlock your full potential in this dynamic field. Stay Ahead: In a data-driven world, mastering BI is vital for staying competitive and contributing to data-driven decision-making. Your Journey to BI Mastery Begins Here Mastering Business Intelligence (BI) is your roadmap to excelling in the world of BI and advancing your career. Whether you aspire to be a BI analyst, data scientist, or BI consultant, this guide will equip you with the skills and knowledge to achieve your goals. Mastering Business Intelligence (BI) is the ultimate resource for individuals seeking to excel in the world of Business Intelligence. Whether you are new to BI or looking to enhance your skills, this book will provide you with the knowledge and strategies to become a data-savvy expert. Don't wait; begin your journey to BI mastery today! © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com |
| data science certificate google: Data Science Ethics David Martens, 2022-03-24 Data science ethics is all about what is right and wrong when conducting data science. Data science has so far been primarily used for positive outcomes for businesses and society. However, just as with any technology, data science has also come with some negative consequences: an increase of privacy invasion, data-driven discrimination against sensitive groups, and decision making by complex models without explanations. While data scientists and business managers are not inherently unethical, they are not trained to weigh the ethical considerations that come from their work - Data Science Ethics addresses this increasingly significant gap and highlights different concepts and techniques that aid understanding, ranging from k-anonymity and differential privacy to homomorphic encryption and zero-knowledge proofs to address privacy concerns, techniques to remove discrimination against sensitive groups, and various explainable AI techniques. Real-life cautionary tales further illustrate the importance and potential impact of data science ethics, including tales of racist bots, search censoring, government backdoors, and face recognition. The book is punctuated with structured exercises that provide hypothetical scenarios and ethical dilemmas for reflection that teach readers how to balance the ethical concerns and the utility of data. |
| data science certificate google: Upper Hand Sherrell Dorsey, 2022-01-26 Learn how to secure a place at the professional table for Black, Latinx, and other marginalized groups In Upper Hand: The Future of Work for the Rest of Us, celebrated Founder and CEO of The Plug, Sherrell Dorsey, delivers a personal and eye-opening exploration of how to ensure that marginalized communities aren't left behind as technology continues its inexorable march forward. In the book, readers will learn to think about how we can strategically shape the coming decade to include Black and Brown communities. Upper Hand offers guidelines, insights, and frameworks for navigating the new world of work that is dominated by Silicon Valley-rooted technologies, inaccessible networks, and constant automation that continues to slash jobs in the Black and Latinx population. You'll find ways to: Help families and community leaders design clear pathways to understanding alternatives to obsolescence Thrive in an ever-changing, tech-driven economy that is beginning to leave people of color behind Embrace new strategies that guarantee a place for Black and brown people in the new economy The startling and insightful discussion in Upper Hand will earn it a place in the libraries of families, teachers, community advocates, workforce development leaders, professionals of color, as well as anyone interested in learning how to distribute the benefits of the new tech economy to those historically left out. |
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