# Data Science and Machine Learning Bootcamp with R

### What you will learn

- Program in R
- Use R for Data Analysis
- Create Data Visualizations
- Use R to handle csv,excel,SQL files or web scraping
- Use R to manipulate data easily
- Use R for Machine Learning Algorithms
- Use R for Data Science

## Curriculum

## Section 1: Course Introduction

## Section 2: Windows Installation Set-Up

## Section 3: Mac OS Installation Set-Up

## Section 4: Development Environment Overview

## Section 5: Introduction to R Basics

## Section 6: R Matrices

## Section 7: R Data Frames

## Section 8: R Lists

## Section 9: Data Input and Output with R

## Section 10: R Programming Basics

## Section 11: Advanced R Programming

## Section 12: Data Manipulation with R

## Section 13: Data Visualization with R

## Section 14: Data Visualization Project

## Section 15: Interactive Visualizations with Plotly

## Section 16: Capstone Data Project

## Section 17: Introduction to Machine Learning with R

## Section 18: Machine Learning with R - Linear Regression

## Section 19: Machine Learning Project - Linear Regression

## Section 20: Machine Learning with R - Logistic Regression

## Section 21: Machine Learning Project - Logistic Regression

## Section 22: Machine Learning with R - K Nearest Neighbors

## Section 23: Machine Learning Project - K Nearest Neighbors

## Section 24: Machine Learning with R - Decision Trees and Random Forests

## Section 25: Machine Learning Project - Decision Trees and Random Forests

## Section 26: Machine Learning with R - Support Vector Machines

## Section 27: Machine Learning Project - Support Vector Machines

## Section 28: Machine Learning with R - K-means Clustering

## Section 29: Machine Learning Project - K-means Clustering

## Section 30: Machine Learning with R - Natural Language Processing

## Section 31: Machine Learning with R - Neural Nets

## Section 32: Machine Learning Project - Neural Nets

### Course Description

Learn how to use the R programming language for data science and machine learning and data visualization!

Requirements

- Computer Access with download privileges.
- Basic Math Skills

Description

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!

This course is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science!

This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With **over 100 HD video lectures** and **detailed code notebooks for every lecture **this is one of the most comprehensive course for data science and machine learning on Udemy!

We'll teach you how to program with R, how to create amazing data visualizations, and how to use Machine Learning with R! Here a just a few of the topics we will be learning:

- Programming with R
- Advanced R Features
- Using R Data Frames to solve complex tasks
- Use R to handle Excel Files
- Web scraping with R
- Connect R to SQL
- Use ggplot2 for data visualizations
- Use plotly for interactive visualizations
- Machine Learning with R, including:
- Linear Regression
- K Nearest Neighbors
- K Means Clustering
- Decision Trees
- Random Forests
- Data Mining Twitter
- Neural Nets and Deep Learning
- Support Vectore Machines
- and much, much more!

Enroll in the course and become a data scientist today!

Who this course is for:

- Anyone interested in becoming a Data Scientist