Difficulty Level
Intermediate
Completion Time
12h56m
Language
English
About Book
Who Is This Book For?
You should be fairly well acquainted with basic algebra and should feel comfortable reading snippets of R/Python as well as pseudo code. You should have the urge to learn and apply the techniques put forth in this book on either your own data sets or those provided to you. If you have the basic math skills but want to apply them in data science or you have good programming skills but lack math, then this book is for you.
Principles of Data Science
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h56m total length
How to Sound like a Data Scientist
Types of Data
The Five Steps of Data Science
Mathematics -- The Basics
Impossible or Improbable? – An Introduction to Probability
Advanced Probability
What are the Chances? – An Introduction to Statistics
Advanced Statistics
Say What? -- Communicating Data
How to tell if your toaster is learning -- Machine Learning Essentials
Predictions Don’t Grow on Trees, or do they? -- Beyond Statistical Modelling
Beyond the Essentials
Case Studies
Related Resources
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