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Beginners R Programming: Data Science and Machine Learning!

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Beginners R Programming: Data Science and Machine Learning!, available at $19.99, has an average rating of 3.95, with 35 lectures, based on 15 reviews, and has 119 subscribers.

You will learn about Code in R by building variables, loops, statements, and more. Input data sets from text files, CSV files, or database systems. Output data by creating tables, text files, or CSV files. Build functions efficiently and apply functions to data. Manipulate and store data properly using dplyr. Use R packages to supersize your toolkit. Solve practical business problems using R. Fill out dataframes. Visualize data and build plots using ggplot2. Use machine learning techniques for R, including K-means clustering. Make predictions with decision trees. And more! This course is ideal for individuals who are Anyone who wants to learn to code in a growing programming language. It is particularly useful for Anyone who wants to learn to code in a growing programming language.

Enroll now: Beginners R Programming: Data Science and Machine Learning!

Summary

Title: Beginners R Programming: Data Science and Machine Learning!

Price: $19.99

Average Rating: 3.95

Number of Lectures: 35

Number of Published Lectures: 35

Number of Curriculum Items: 35

Number of Published Curriculum Objects: 35

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

  • Code in R by building variables, loops, statements, and more.
  • Input data sets from text files, CSV files, or database systems.
  • Output data by creating tables, text files, or CSV files.
  • Build functions efficiently and apply functions to data.
  • Manipulate and store data properly using dplyr.
  • Use R packages to supersize your toolkit.
  • Solve practical business problems using R.
  • Fill out dataframes.
  • Visualize data and build plots using ggplot2.
  • Use machine learning techniques for R, including K-means clustering.
  • Make predictions with decision trees.
  • And more!

Who Should Attend

  • Anyone who wants to learn to code in a growing programming language.

Target Audiences

  • Anyone who wants to learn to code in a growing programming language.

Have you ever wanted to code and use data to your advantage? Well, you’ve come to the right place!

After purchasing this course, you’ll be taken step-by-step through every process needed to do just that.


Funded by a #1 Kickstarter Project by Mammoth Interactive.

Our very talented instructor John Kemp, explains everything from a basic, beginner level. That means, you don’t have to have any prior coding experience to succeed here.

R Programming for Absolute Beginners: from Data Analytics to Visualization to Machine Learning!

  • 5 hours on-demand video!

  • Learn offline via the Udemy app

  • 14 Articles

  • 12 Downloadable Resources

  • Full lifetime access

Manipulate Data and Learn about Matrices with R.

Data scientist and online mentor John Kemp will take you through the process of learning to code from scratch in a massively popular programming language: R in RStudio.

You will learn everything it takes to be a data analyst, including:

  • inputting and outputting data

  • manipulating and storing

  • solving business problems

  • visualizing data

  • making predictions using machine learning

  • and so much more with the abundant R packages of the exploding R community.

Learn Online at ANY Pace!

The beauty of taking an online course like this is the ability to replay any of the lectures at any time. There is no time limit or final tests. You get to learn at your own pace with a practical model method of learning.

One of the best features is that you can watch the courses at any speed you want. This means you can speed up the or slow down the video if you want to.

This course is project-based so you will not be learning a bunch of useless coding practices. At the end of this course you will have real world apps to use in your portfolio. We feel that project based training content is the best way to get from A to B. Taking this course means that you learn practical, employable skills immediately.

You can use the projects you build in this course to add to your LinkedIn profile. Give your portfolio fuel to take your career to the next level.

Learning how to code is a great way to jump in a new career or enhance your current career. Coding is the new math and learning how to code will propel you forward for any situation. Learn it today and get a head start for tomorrow. People who can master technology will rule the future.

An Amazing Instructor Deep in the Field.

John Kemp has been programming in R as a data scientist since 2011. He has spent 100+ hours tutoring students online to help them learn R from scratch or to enhance their R abilities.

John has been set up as an online mentor to partner with students looking to enter into the data science profession. In addition, John uses R as a hobby and will also help various businesses with data manipulation, network optimization and other data science tasks.

Enroll Now while on Sale!

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Course Introduction

Lecture 2: Source Files

Chapter 2: Introduction to R Programming

Lecture 1: Introduction to R Variables

Lecture 2: Source Files

Chapter 3: Data Input and Output with R

Lecture 1: Data Input

Lecture 2: Data Output

Lecture 3: Source Files For Each Lecture

Chapter 4: Setting up Control Flow in R

Lecture 1: Loops

Lecture 2: How to Use If Statements in R

Lecture 3: Source Files For Each Lecture

Chapter 5: Core Concepts of R Programming

Lecture 1: Vectors

Lecture 2: Functions

Lecture 3: Packages

Lecture 4: (Project) Solve a Business Problem with R

Lecture 5: Source Files For Each Lecture

Chapter 6: Matrix Construction in R

Lecture 1: Matrices

Lecture 2: Source Files

Chapter 7: R Data Frame

Lecture 1: Data Frames

Lecture 2: Source Files

Chapter 8: Apply a Function over a List or Vector

Lecture 1: Lists and Lapply

Lecture 2: Source Files

Chapter 9: Data Manipulation in R Dplyr

Lecture 1: Data Manipulation and Dplyr

Lecture 2: Source Files

Chapter 10: Data Visualization in R using ggplot2

Lecture 1: Basic Plots | ggplot Visualizations

Lecture 2: Additional Plotting

Lecture 3: Advanced Plotting

Lecture 4: Source Files For Each Lecture

Chapter 11: Introduction to Machine Learning

Lecture 1: Machine Learning Introduction

Lecture 2: K-means Clustering

Lecture 3: Decision Trees

Lecture 4: Source Files For Each Lecture

Chapter 12: R Conclusion

Lecture 1: Conclusion

Lecture 2: Source Files

Lecture 3: Please rate this course!

Lecture 4: Bonus Lecture: Mammoth Interactive Deals

Instructors

Rating Distribution

  • 1 stars: 0 votes
  • 2 stars: 1 votes
  • 3 stars: 2 votes
  • 4 stars: 7 votes
  • 5 stars: 5 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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