Principles of Data Science
This book is a complete guide to building a solid data science pipeline, combining various tools and techniques to turn data into valuable insights. Get into the world of data science by implementing various real-world data science operations. You will learn how to implement best practices and overcome the challenges associated with each of them.
Offered by
Difficulty Level
Intermediate
Completion Time
14h8m
Language
English
About Book
Who Is This Book For?
If you are an aspiring data scientist who wants to take your first steps in data science, this book is for you. If you have the basic math skills but want to apply them in data science, or you have good programming skills but lack the necessary math, this book will also help you. Some knowledge of Python programming will also help.
Principles of Data Science
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 14h8m total length
How to Sound like a Data Scientist
Types of Data
The Five Steps of Data Science
Basic Mathematics
Impossible or Improbable? – A Gentle Introduction to Probability
Advanced Probability
Basic Statistics
Advanced Statistics
Communicating Data
How to tell if your toaster is learning -- Machine Learning Essentials
Predictions Don’t Grow on Trees, or do they?
Beyond The Essentials
Case Studies
Microsoft Azure Databricks
Building Machine Learning Models with Azure Databricks and Azure ML
Related Resources
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