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Udemy

Data Science and Machine Learning Bootcamp with R

via Udemy

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Overview

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

What you'll 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

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 anddetailed code notebooks for every lecturethis is one ofthe 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!

Syllabus

  • Course Introduction
  • Course Best Practices
  • Windows Installation Set-Up
  • Mac OS Installation Set-Up
  • Linux Installation
  • Development Environment Overview
  • Introduction to R Basics
  • R Matrices
  • R Data Frames
  • R Lists
  • Data Input and Output with R
  • R Programming Basics
  • Advanced R Programming
  • Data Manipulation with R
  • Data Visualization with R
  • Data Visualization Project
  • Interactive Visualizations with Plotly
  • Capstone Data Project
  • Introduction to Machine Learning with R
  • Machine Learning with R - Linear Regression
  • Machine Learning Project - Linear Regression
  • Machine Learning with R - Logistic Regression
  • Machine Learning Project - Logistic Regression
  • Machine Learning with R - K Nearest Neighbors
  • Machine Learning Project - K Nearest Neighbors
  • Machine Learning with R - Decision Trees and Random Forests
  • Machine Learning Project - Decision Trees and Random Forests
  • Machine Learning with R - Support Vector Machines
  • Machine Learning Project - Support Vector Machines
  • Machine Learning with R - K-means Clustering
  • Machine Learning Project - K-means Clustering
  • Machine Learning with R - Natural Language Processing
  • Machine Learning with R - Neural Nets
  • Machine Learning Project - Neural Nets
  • Bonus Section

Taught by

Jose Portilla

Reviews

4.7 rating at Udemy based on 17767 ratings

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