×
MindLuster Logo

Programming for Data Science with R

Track :

Programming

Lessons no : 7

For Free Certificate After Complete The Course

To Register in Course you have to watch at least 30 Second of any lesson

Join The Course Go To Community Download Course Content

What will you learn in this course?
  • Master data manipulation and visualization techniques using R for effective data science analysis
  • Apply statistical methods and models in R to interpret complex datasets accurately
  • Implement machine learning algorithms in R to build predictive data models
  • Utilize R's communication libraries to create compelling data reports and visualizations
  • Develop reproducible data science workflows with R for collaborative projects
  • Evaluate data quality and perform data cleaning using R to ensure reliable analysis

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 7


We Appreciate Your Feedback

Excellent
55 Reviews
Good
41 Reviews
medium
7 Reviews
Acceptable
0 Reviews
Not Good
2 Reviews
4.4
105 Reviews

Shreyash Khade

Good
2025-11-03

Ayan Kalangade

Faster and Helpfull
2025-11-02

Sanket Pharne

Understanding easily
2025-11-02

Pranjali Gajanan Sarve

Excellent 👍
2025-11-01

Gauri Jangam

Good
2025-11-01

Omkar Kamerkar

Good
2025-10-31

shreya

Good
2025-10-31

Anarya Gautam Salve

It is good and understanding
2025-10-24

Kalpesh Mahale

Outstanding
2025-10-20

Lenoir Nataka

good
2025-10-15

Reuben George Jacob

good
2025-10-06

ANPIN BABY B23CS1216

Good
2025-10-06

Show More Reviews

Our New Certified Courses Will Reach You in Our Telegram Channel
Join Our Telegram Channels to Get Best Free Courses

Join Now

Related Courses

The good news is R is developed by academics and scientist. It is designed to answer statistical problems, machine learning, and data science. R is the right tool for data science because of its powerful communication libraries .