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Fundamentals of Data Analytics


Topics

  • Data Visualization
  • Descriptive Statistics
  • Probability
  • Inferential Statistics
  • Linear Regression
  • Time Series Analysis
  • Monte Carlo
  • Data Mining
  • Ethics

Table of Contents

Summary

  • An exceptionally student-focused introduction to data analytics
  • Traditionally-hard topics are made learnable via hundreds of animations and learning questions
  • Included statistics/probability background enables all students to succeed
  • Commonly combined with “Statistics for Data Analytics“; numerous configurations possible

The zyBooks Approach

Data analytics is one of the fastest growing subjects today and is useful in nearly all fields. The subject’s topics, with their underlying statistics, often pose difficulties for students. This zyBook represents entirely new material created specifically to help students master the subject. Written natively for the modern web, the zyBook uses less text, and teaches through hundreds of animations and learning questions.

The zyBook introduces several widely-used basic techniques for visualization, linear regression, time series analysis, Monte Carlo simulation, and data mining. The zyBook includes several chapters providing the necessary statistics and probability background to enable success by any student with a typical math background. A chapter on ethics provides real examples and encourages professionalism and safety.

Instructors can see student activity completion, can reconfigure the topics, and can even combine with other zyBooks. A common combination is with our “Statistics for Data Analytics” zyBook that covers more-advanced topics. Both zyBooks are appropriate for undergraduate and graduate courses.

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