Book

Statistics for Data Science

Statistics is an absolute must prerequisite for any task in the area of data science. This is also the most feared hindrance for developers to entering in the data science field. This book will start off with simple statistics and then move on to statistical methods that are used in data science algorithms. The R programs for the statistical computations will be clearly explained along with the logic. You will come across various mathematical concepts such as variance, standard deviation, probability, matrix calculations, and more. You will learn only what is required to implement statistics in data science tasks such as data cleaning, mining, and analysis.

Offered byPackt Logo

Difficulty Level

Intermediate

Completion Time

9h32m

Language

English

About Book

Who Is This Book For?

This book is intended for those developers who are willing to enter the field of data science and are looking for concise information of statistics with the help of insightful programs and simple explanation. Some basic hands on R will be useful.

Book content

chapters 9h32m total length

Transitioning from Data Developer to Data Scientist

Declaring the Objectives

A Developer Approach to Data Cleaning

Data Mining and the Database Developer

Statistical Analysis for the Database Developer

Database Progression to Database Regression

Regularization for Database Improvement

Data Development and Assessment

Databases and Neural Networks

Boosting and your Database

Database Classification using Support Vector Machines

Database Structures & Machine Learning

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