R is quickly developing into the foremost language in information sciences and data. The main objective of this article is to assist any motivated individual to find the best online Courses which can be used as a springboard for a rewarding and lucrative career in the field of Data Science.
Learn R For Data Science
In this post, you will get an overview of the best course to learn R for Data science from industry experts available today.
Nowadays, R is the right gear of excellence for data scientists and machine learning engineers in all production and discipline.
We hope the resources listed in this article are useful for those who want to learn R for Data Science, regardless of prior technical expertise, for solving real-world problems.
1. Introduction to Data Science
Build a strong foundation in R and start exploring data-related careers in this introductory course. The 100-hour curriculum was curated by experts who analyzed skills required in entry-level data science jobs. It includes more than 40 hours of project work.
While you’ll learn the fundamentals of data science—including data wrangling, probability and statistics, exploratory data analysis, and more—you’ll also complete a capstone project, giving you the chance to work in a realistic data science scenario.
Is it right for you?
Some background in programming (basic familiarity with variables, functions, loops; experience with any language) is helpful, but beginners are welcome! There are no pre-requisites.
To set you up for success, this self-paced course includes one-on-one mentorship from a working data scientist and support from student advisors, plus access to a global community of fellow learners and alumni.
What You Will Learn?
- Programming in R
- Data wrangling
- Probability and statistics
- Exploratory data analysis
- Data storytelling
- Data visualization
- Preparing for data science job interviews
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2. Data Science Specialization
Data Science Specialization is a nine-course introduction to data science, created by John Hopkins University and taught by leading professors. You will learn how to get your data into R, clean and transform data into the most useful structure.
You also will gain functional knowledge of statistical concepts, reproducible research for scientific claims, and Machine Learning.
Is it right for you?
This Specialization is suitable for beginners with no coding experience or formal background in statistics. This specialization will equip you with key concepts and tools you'll need throughout the entire data science pipeline.
What You Will Learn?
- The Data Scientists Toolbox
- R Programming
- Getting and Cleaning Data
- Exploratory Data Analysis
- Reproducible Research
- Statistical Inference
- Regression Models
- Practical Machine Learning
- Developing Data Products
- Data Science Capstone
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3. Data Science with R
This course is created by Matthew Ranze who is a Data Science Consultant, Author and has 17 years of professional experience working with tech startups to Fortune 500 companies.
The topics covered in this course will help you to understand the practice of data science, R programming language, and how to create Data Visualization and Statistical models.
Is it right for you?
This course is right for you if you’re interested in learning R for Data Science and you don’t need any background in analytics or programming to get started.
By the end of this course, you'll have an understanding of the principles of data science to transform your data into actionable insight.
What You Will Learn?
- Introduction to R and its use for Data Science.
- Working with Data
- Creating Descriptive Statistics
- Creating Data Visualizations
- Creating Statistical Models
- Handling Big Data
- Predicting with Machine Learning
- Deploying Data to Production
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4. Statistics with R Specialization
Statistics with R Specialization is offered by Duke University on Coursera and will help you to master statistics with R.
You will learn key statistical concepts and techniques for performing exploratory data analysis in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of correlation, regression and statistical inference.
Is it right for you?
All the courses in this specialization will prepare you for the handling of Big Data and Predicting in Machine Learning.
What You Will Learn?
- Introduction to Probability and Data
- Inferential Statistics
- Linear Regression and Modelling
- Bayesian Statistics
- Statistics with R Capstone
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Before You Go
You may also be interested in finding Best (and Free !!!) Machine Learning Resources or reading So You want to Learn Data Science With Python Track.
Also check, R-Bloggers to stay current with the latest advancements.
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happy learning . . .
