Learn R Programming and Data Fundamentals Through Exercises

Learn R Programming and Data Fundamentals Through Exercises, available at $19.99, has an average rating of 3.45, with 23 lectures, based on 28 reviews, and has 1756 subscribers.

You will learn about Solve data problems programmatically with R Programming Get a head start in the complex data science technologies of modern day programming in R Obtain the opportunity to learn more complex things like Machine Learning in R at the end of the course This course is ideal for individuals who are This course is suited for everyone interested in technology (data science) or No prior R programming or data science is neccessary or Some familiarity with some concepts e.g. what is data…what is data science It is particularly useful for This course is suited for everyone interested in technology (data science) or No prior R programming or data science is neccessary or Some familiarity with some concepts e.g. what is data…what is data science.

Enroll now: Learn R Programming and Data Fundamentals Through Exercises

Summary

Title: Learn R Programming and Data Fundamentals Through Exercises

Price: $19.99

Average Rating: 3.45

Number of Lectures: 23

Number of Published Lectures: 23

Number of Curriculum Items: 23

Number of Published Curriculum Objects: 23

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Solve data problems programmatically with R Programming
Get a head start in the complex data science technologies of modern day programming in R
Obtain the opportunity to learn more complex things like Machine Learning in R at the end of the course

Who Should Attend

This course is suited for everyone interested in technology (data science)
No prior R programming or data science is neccessary
Some familiarity with some concepts e.g. what is data…what is data science

Target Audiences

This course is suited for everyone interested in technology (data science)
No prior R programming or data science is neccessary
Some familiarity with some concepts e.g. what is data…what is data science

You are interested in learning R Programming and getting into the wide realm of data science and R programming and intense Tech Entrepreneurship. You have probably wondered what is the most practical way of learning Python (which to be frank, gives you the key to ruling the technology industry).

I have learned over 14 programming languages such as JAVA, Python, C++, R, Matlab, Ruby, CSS, HTML, Angular JS, Java Script. I have also had a successful freelancing career conducting data science projects and programming data science and R applications. Since technology and data is changing every day, I have to learn something new every time. The best way that you can learn how to program is “to program”. Yet, nobody teaches in this manner and I suffer from the same pain when learning something new every time. Most courses are not designed to help you learn by example (immersion is the most potent way of learning in humans). Rather they bathe you with inapplicable information that you have to learn over and over again anyways.

This course covers not only the basics of syntax in R programming, but also covers the more advanced data science structures and data types like Lists, Data Frames, Vectors, Matrices, and Factors. I develop details of the data structures and syntax through exercises that I walk you through in the course. The first part of the course is the introduction to these structures and the syntax. There are 2 lectures on solving tough exercises on each subject so that you can understand not only the syntax and how to the program python, but also what the crux of programming in terms of how we solve problems programmatically and harness the POWER of R Programming and Data Science.

There is no risk for you as a student in this course. I have put together a course that is not only worth your money, but also worth your time. This course encompasses the basics of R programming and I urge you to join me on this journey to learn how to dominate the entrepreneurial world with one of the most powerful data science language: R.

Course Curriculum

Chapter 1: Introduction to R Programming

Lecture 1: Introduction

Lecture 2: Tour de Galleria

Lecture 3: Basic Syntax

Chapter 2: Vectors

Lecture 1: Vectors – Subsetting

Lecture 2: Vectors

Lecture 3: Vector Arithmetics

Lecture 4: Vectors in R Programming: Exercise 1

Lecture 5: Vectors in R Programming: Exercise 2

Chapter 3: Matrices

Lecture 1: Matrices

Lecture 2: Matrices – Deeper Dive

Lecture 3: Matrix – Naming

Lecture 4: Matrix – Subsetting in R

Lecture 5: Matrices – Exercise 1

Lecture 6: Matrix Exercise – 2

Chapter 4: Factors

Lecture 1: Factors in R Programming: Overview

Lecture 2: Factors in R Programming – Deeper Dive

Lecture 3: Factors in R Programming – Ordered versus Nominal

Lecture 4: Factors in R Programming: Exercise

Chapter 5: Lists

Lecture 1: Lists in R Programming

Lecture 2: Lists – A Deeper Dive

Lecture 3: Lists – Subsetting 1

Lecture 4: Lists – Subsetting 2

Chapter 6: Conclusion

Lecture 1: Conclusion

Instructors

Dhruv Bais
Master Programmer and Machine Learning Robot

Rating Distribution

1 stars: 2 votes
2 stars: 1 votes
3 stars: 9 votes
4 stars: 6 votes
5 stars: 10 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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