Applied Data Science with R

Through our guided lectures and labs, you'll get hands-on experience tackling interesting data problems. This is an action-packed learning path for data science enthusiasts who want to learn about data analysis, accessing databases with R, and visualization.

In these data science courses, you’ll learn how to use the R language to access databases, clean, analyze, and visualize data with R. Through our guided lectures and labs, you’ll get hands-on experience tackling interesting data problems. This is an action-packed learning path for data science enthusiasts who want to work with real world problems using R.

Courses

R 101

Effort: 5 Hours
Level: Beginner
Available in: English
Introduction to R Programming
About the course

Are you ready to dive head-first into R? In just a few hours you'll learn how to write your own R code, learn about R's data structures and create your own functions. You’ll even be able to import data and do some operations. Try our hands-on exercises as we guide your first steps into your data science journey with R.

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Using R with Databases

Effort: 5 Hours
Level: Intermediate
Available in: English
Using R with Databases
About the course

The intent of this free course is to teach you how to unlock the power and magic of R to analyze data in relational databases. Using R with Databases will teach you how to connect to relational databases, access and query the database, update and modify the data, and analyze it using simple visualizations.

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Data Visualization with R

Effort: 5 Hours
Level: Beginner
Available in: English
Data Visualization with R
About the course

Data visualization is the presentation of data with graphics. It's a way to summarize your findings and display it in a form that facilitates interpretation and can help in identifying patterns or trends. In this Data Visualization with R course you will learn how to create beautiful graphics and charts, customizing the look and feel of them as you wish.

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Complete Applied Data Science with R Learning path

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