NO CODE DATA SCIENCE
Unique 2023 textbook features include:
No knowledge of a programming language is necessary
QR codes that link out to short and important videos
Orange Data Mining workflow to explain exactly how we arrived at different analyses
Each chapter has a chapter summary, key principles, and data exercises
Instructor manual with data exercises
The textbook begins with an overview of data science, the data mining platform known as Orange, and the statistical program JASP. The second chapter is very comprehensive about one of the most important aspects of data science—data! Despite Orange being Python-based and JASP being R-based, no programming is required.
For instructors who plan to use this textbook to teach a current or future course, please fill out the form under the tab "Instructional Materials Request. We will send you a PDF copy of the book and an instructor manual. Slides are not available at this time.
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Table of Contents
Chapter 1: Introduction to Data Science
Chapter 2: Data Preparation and Wrangling
Chapter 3: Data Visualization
Chapter 4: Machine Learning Models
Chapter 5: Model Evaluation
Chapter 6: Supervised Learning
Chapter 7: Unsupervised Learning
Chapter 8: Time Series Forecasting and Survival Analysis
Chapter 9: Geolocation
Chapter 10: Image Analytics
Chapter 11: Text Mining
Chapter 12: Integration Continuous Improvement and Data Science Into Industry