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 by
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.
Statistics for Data Science
- About Book
- Who Is This Book For?
- Book Content
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
Related Resources
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