Escucha y lee

Descubre un mundo infinito de historias

  • Lee y escucha todo lo que quieras
  • Más de 500 000 títulos
  • Títulos exclusivos + Storytel Originals
  • 14 días de prueba gratis, luego $24,900 COP/al mes
  • Cancela cuando quieras
Descarga la app
CO -Device Banner Block 894x1036

Data Mining and Analytics: Ultimate Guide to the Basics of Data Mining, Analytics and Metrics

3 Calificaciones

3

Duración
1H 36min
Idioma
Inglés
Format
Categoría

No ficción

Are you curious about data mining and analytics? Have you ever wondered how the world is filled with so much data and what is it used for? Do you wonder how companies use data to improve their revenue and steer themselves toward the path of success? Would you like to know why data is a new currency and companies invest so much to extract, store, and process data? Do you want to know how businesses leverage data to make millions of dollars in revenue? All of this can be achieved through data mining and analytics. If you are curious to know the answers to all these questions, this is the right book for you.

The tools and techniques described will teach you how data mining is used by organizations to steer themselves to success. This book will take you through:

· An overview of data mining and the need for data mining today

· Comparisons between data mining and data science

· The tasks and issues in data mining

· The terminologies used in data mining

· The data mining query language

· Classification, prediction, and cluster analysis in data mining

This book has been tailored for you to understand data mining and analytics. There are step-by-step guides with code syntaxes so that you can understand various data mining techniques. If you’re looking for the ultimate guide in mining, analytics and metrics, then grab your copy today!

© 2022 Alex Published (Audiolibro ): 9781669688136

Fecha de lanzamiento

Audiolibro : 22 de abril de 2022

Otros también disfrutaron ...

  1. Data Visualization Guide: Clear Introduction to Data Mining, Analysis, and Visualization Alex Campbell
  2. Fundamentals of Data Engineering: Plan and Build Robust Data Systems Matt Housley
  3. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking Foster Provost
  4. Crash Course Big Data Introbooks Team
  5. Python for Data Science: Clear and Complete Guide to Data Science and Analysis with Python. Alex Campbell
  6. Data Management Introbooks Team
  7. Data Mesh: What Is Data Mesh? Principles of Data Mesh Architecture Brian Murray
  8. Big Data Revolution: What farmers, doctors and insurance agents teach us about discovering big data patterns Rob Thomas
  9. Learn Power BI - Second Edition: A comprehensive, step-by-step guide for beginners to learn real-world business intelligence Greg Deckler
  10. Data Structures and Algorithms for Beginners: Elevating Your Coding Skills with Data Structures and Algorithms SAM CAMPBELL
  11. Big Data: Mining and Measuring Big Data for Information and Intelligence David Feldspar
  12. Artificial Intelligence: The Insights You Need from Harvard Business Review Andrew McAfee
  13. Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are Seth Stephens-Davidowitz
  14. Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses Michele Chambers
  15. Data Science John D. Kelleher
  16. Big Data Analytics: Turning Big Data into Big Money Frank J. Ohlhorst
  17. Data and Databases: Learn Data Analytics, Data Mining, and Operating Systems (2 in 1) Jonathan Rigdon
  18. Data Science and Analytics Essentials: The Revolution of Decision-Making: Leveraging Data in the Digital Age Daniel Richards
  19. Data Smart: Using Data Science to Transform Information into Insight John W. Foreman
  20. Python For Data Science: The Ultimate Comprehensive Step-By-Step Guide To The Basics Of Python For Data Science Kevin Clark
  21. Win with Advanced Business Analytics: Creating Business Value from Your Data Jean Paul Isson
  22. Computational Thinking Peter J. Denning
  23. Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management Michael J. A. Berry
  24. Deep Learning: Guide to Machine Learning and Artificial Intelligence David Feldspar
  25. Business Intelligence For Dummies Swain Scheps
  26. Coders: Who They Are, What They Think and How They Are Changing Our World Clive Thompson
  27. Deep Learning: Machine Learning and Data Analytics Explained David Feldspar
  28. Range: How Generalists Triumph in a Specialized World David Epstein
  29. The Creativity Code: How AI is learning to write, paint and think Marcus du Sautoy
  30. Data Quality Prashanth Southekal
  31. The AI Delusion Gary Smith
  32. Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World Mo Gawdat
  33. Deep Learning John D. Kelleher
  34. Artificial Intelligence For Dummies Luca Massaron
  35. A Little History of Economics Niall Kishtainy
  36. Good to Great Jim Collins
  37. The Achievement Habit: Stop Wishing, Start Doing, and Take Command of Your Life Bernard Roth
  38. Focus: The Hidden Driver of Excellence Daniel Goleman
  39. Hyperfocus: How to Work Less and Achieve More Chris Bailey
  40. Leadership Strategy and Tactics: Learn to Lead Like a Navy SEAL, from the Bestselling Author of 'Extreme Ownership' and 'The Dichotomy of Leadership' Jocko Willink
  41. Human Universe Professor Brian Cox
  42. 13 Things Mentally Strong People Don't Do: Take Back Your Power, Embrace Change, Face Your Fears, and Train Your Brain for Happiness and Success Amy Morin
  43. Talk Like TED: The 9 Public Speaking Secrets of the World's Top Minds Carmine Gallo