4.41 (29 reviews)
☑ Learn to program in R at a good level and how to use R Studio
☑ Learn the core principles of R programming
☑ Learn how to create vectors in R
☑ Learn how to create variables
☑ Learn Data types in R
☑ Decision Making in R
☑ Learn how to build and use matrices in R
☑ Learn how to use Functions in R
☑ Learn to use Factors in R
☑ Learn to use Data Frames in R
☑ Learn how to install packages in R
☑ Learn how to use charts and Graphs in R
☑ Learn to read data from CSV files, Excel files
☑ Learn Data Analysis in R
☑ Learn how to use charts & graphs in R for data visualization
R is one of the most popular and widely used tools for statistical programming.
It is a powerful, versatile, and easy to use tool for data analytics, and data visualization.
It is the first choice for thousands of data analysts working in both companies and academia.
This course will help you master R programming, as a first step to become a skilled R data scientist.
Got the R knowledge and not sure what to do with it?
This is your chance to finally get your hands dirty with the R and data science.
Each lecture will you give you the tools to achieve the following two goals:
Analyze your data using R.
Find the right visualization for your data using various R tools and packages taught in the course.
Draw some useful visualization and find some useful predictions based on the outcome.
It will take just a few lines of code to get you started.
For an added challenge, repeat the same analysis for your own data.
Share your progress for a chance to receive feedback and suggestions.
That way, this feedback can come not just from me but also from other students in the course.
Why Learn R?
Installing and Exploring RStudio
First R Program and Operators in R
Data Types in R
Creating Vectors in R
Sequence in R
Accessing Vector Elements
Vector Manipulation in R
Vector Elements Recycling
Sorting Vector Elements
Decision Making in R
Loop Control using repeat and while loop
for loop and next statement
Functions in R
Matrices in R
Factors in R
Data Frames in R
Combining Data Frames
Analyzing Data in R from CSV file
Creating Pie chart in R
Analyzing Employee Data
Conclusion and Project Work
R basic concepts and programming has been explained well through detailed examples. The code walk-through for the concepts taught are just great. Data Science section is just icing on the top. Great Content. Thanks to instructor Sunil for putting effort to make this course. Hoping for the more content and courses.
This course is little different as it is not only covering R programming but also explained well about Data Science use cases. I am happy to find such a nice course here. I am looking for forward for more. Thanks.