Book

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.

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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.

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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