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Data Analysis with R Programming

Course Reviews

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

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What will you learn in this course?
  • Master data manipulation and cleaning techniques using R for accurate analysis and reporting
  • Apply statistical methods and models in R to interpret complex datasets effectively
  • Create visualizations and graphics in R to communicate data insights clearly and persuasively
  • Implement data mining and pattern recognition techniques to uncover hidden trends in large datasets
  • Develop predictive models using R to support data-driven decision-making processes
  • Utilize R programming skills to automate data analysis workflows and improve efficiency

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
17 Reviews
Good
15 Reviews
medium
1 Reviews
Acceptable
0 Reviews
Not Good
1 Reviews
4.4
34 Reviews
katta teja 

good
2026-03-13

Nithesh K 

It was nice
2026-02-09

MASHETTY SRUJAN KIREETI 

good
2025-12-05

TANBI RANI SARKER 

Best
2025-12-05

Akshitha Pasala 

good
2025-12-04

tejitha shivani 

thank you mind luster
2025-11-30

Banoth Madhu 

good
2025-11-29

CHEETIRALA LAKSHMI KRUTHIKA 

great
2025-11-28

Naveen Kumar Vanam 

Very informative video! The R programming steps for data analysis were clear and easy to follow. Looking forward to more practical examples and advanced topics.
2025-11-26

Betham Srividhya 

Good
2025-11-26

BURGULA KEERTHI CHARAN 

good
2025-11-26

Ganesh K 

good
2025-11-25

Show More Reviews

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R analytics is data analytics using R programming language, an open-source language used for statistical computing or graphics. This programming language is often used in statistical analysis and data mining. It can be used for analytics to identify patterns and build practical models .