## Video description

Waste no time and jump right into hands-on coding in R. We start off light and teach you all the basics as we go along. An equally satisfying experience for complete beginners and those of you who would just like a refresher on R.

**About This Video**

- You will learn descriptive statistics and the fundamentals of inferential statistics
- Soar above the average data scientist and boost the productivity of your operations
- Learn to work with R's most comprehensive collection of tools and create meaning-heavy data visualizations and plots

**In Detail**

R programming is a skill you'll need if you want to work as a data analyst or a data scientist in your industry of choice. And why wouldn't you, data scientist is the hottest ranked profession in the US. But to do that, you need the tools and the skillset to handle data. R is one of the top languages to get you where you want to be. Combine that with statistical know-how, and you will be well on your way to your dream job. This course packs all of this, and more, in one easy-to-handle bundle, and it's the perfect start to your journey. So, welcome to R Programming for Statistics and Data Science, the course that will get you from a complete beginner in programming with R to a professional who can complete data manipulation on demand. It gives you the complete skillset to tackle any new data science project with confidence and critically assess your and other people's work.

Practicability is the key to this course. Using R, you have a wide variety of options where you can take the code provided within this course and expand on it in any number of directions. You’ll reinforce your learning through numerous practical exercises.

**Audience**

Aspiring data scientists, beginners in programming, people interested in statistics and data analysis, and anyone who wants to learn how to code and apply their skills in practice will find this course useful.

## Table of contents

- Chapter 1 : Introduction and Getting Started
- Chapter 2 : The Building Blocks of R
- Chapter 3 : Vectors and Vector Operations
- Chapter 4 : Matrices
- Chapter 5 : Fundamentals of Programming with R
- Chapter 6 : Data Frames
- Chapter 7 : Manipulating Data
- Chapter 8 : Visualizing Data
- Chapter 9 : Exploratory Data Analysis
- Chapter 10 : Hypothesis Testing
- Chapter 11 : Linear Regression Analysis

## Product information

- Title: R Programming for Statistics and Data Science
- Author(s):
- Release date: October 2018
- Publisher(s): Packt Publishing
- ISBN: 9781789950298

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