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Data Science Demystified: Unlocking Insights in a Data-Driven World

ระยะเวลา
3H 1นาที
ภาษา
ภาษาอังกฤษ
Format
หมวดหมู่

นอนฟิกชั่น

It gives a source to understand those complex matters about data science. "Data Science Demystified: Unlocking Insights in a Data-Driven World" is the critical tool for understanding what, at the current rewriting of the rules of industries, data is moving into demystifying and empowerment editorial.

It then starts to form the very core of important basic information in the science of data, covering such very important concepts as types of data, principles of statistics, and requirements in doing the programming. Later, it deals with the real-world issues of collection, preparation, and processing of data in order to find out how one may prepare data for further analysis, which gives a number of valuable tips.

This book's main goal is to present ways of applying exploratory methods of data analysis and data visualization to practical examples for extracting useful information from unstructured data toward real-world problem-solving in machine learning.

"Data Science Demystified" has ethical issues and societal impacts well addressed with respect to data handling beyond the technical skills. It calls for openness, accountability, and responsible usage of data in a society where decisions driven by data can have far-flung repercussions.

It's within these changing landscapes in data science that this book will help steer you right and provide you with skills and knowledge, dictated by very much in demand today. This practical insider guide, "Data Science Demystified", can launch your career with insight and data to your advantage in this changing landscape.

© 2024 Nina Publishing LLC (หนังสือเสียง ): 9798882411359

วันที่วางจำหน่าย

หนังสือเสียง : 24 สิงหาคม 2567

คนอื่นก็สนุก...

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  2. Data Science and Big Data: Data Science and Big Data Analytics: Unlocking the Power of Information Liam Morgan
  3. Data as a Product: How to Provide the Data That the Company Needs Brian Murray
  4. Data Science and Analytics Essentials: The Revolution of Decision-Making: Leveraging Data in the Digital Age Daniel Richards
  5. Data-Driven Science and Engineering: Mastering the Art of Data-Driven Decision Making Sam Campbell
  6. Data Science John D. Kelleher
  7. Data Visualization Guide: Clear Introduction to Data Mining, Analysis, and Visualization Alex Campbell
  8. Fundamentals of Data Engineering: Plan and Build Robust Data Systems Matt Housley
  9. Python for Data Analysis: From Basics to Advanced Data Science Techniques SAM CAMPBELL
  10. Data Science for Beginners: Comprehensive Guide to Most Important Basics in Data Science Alex Campbell
  11. Mastering Data Science and Big Data Analytics: Mastering Big Data: Strategies and Tools for Effective Analysis Maxine Chen
  12. Data Visualization Guide: Clear Guide to Data Science and Visualization Alex Campbell
  13. Big Data: Mining and Measuring Big Data for Information and Intelligence David Feldspar
  14. Data Mesh: What Is Data Mesh? Principles of Data Mesh Architecture Brian Murray
  15. Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are Seth Stephens-Davidowitz
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  19. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking Foster Provost
  20. Data Science Demystified: A Beginner’s Guide: Unlocking Insights with Data Analysis Rebecca Davis
  21. Mastering Data Science and Analytics: The Power of Data: From Analysis to Action in the Modern World Finnley Harper
  22. Data Virtualization: The Power of Unified Data. Harnessing the Benefits of Data Virtualization Brian Murray
  23. Serverless Data Engineering: Streamlining Big Data Workflows in the Cloud Chuck Sherman
  24. Data Mesh: A Comprehensive Guide to Modern Data Architecture Brian Paul
  25. Journey into Data Science and Machine Learning: Data-Driven Decision Making: Harnessing the Power of Machine Learning Gabriel Chen
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