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Learner Reviews & Feedback for Data Analysis with R by IBM

4.7
stars
368 ratings

About the Course

The R programming language is purpose-built for data analysis. R is the key that opens the door between the problems that you want to solve with data and the answers you need to meet your objectives. This course starts with a question and then walks you through the process of answering it through data. You will first learn important techniques for preparing (or wrangling) your data for analysis. You will then learn how to gain a better understanding of your data through exploratory data analysis, helping you to summarize your data and identify relevant relationships between variables that can lead to insights. Once your data is ready to analyze, you will learn how to develop your model and evaluate and tune its performance. By following this process, you can be sure that your data analysis performs to the standards that you have set, and you can have confidence in the results. You will build hands-on experience by playing the role of a data analyst who is analyzing airline departure and arrival data to predict flight delays. Using an Airline Reporting Carrier On-Time Performance Dataset, you will practice reading data files, preprocessing data, creating models, improving models, and evaluating them to ultimately choose the best model. Watch the videos, work through the labs, and add to your portfolio. Good luck! Note: The pre-requisite for this course is basic R programming skills. For example, ensure that you have completed a course like Introduction to R Programming for Data Science from IBM....

Top reviews

RN

Mar 2, 2023

I enjoyed this course! Great Instructors and Teaching Staff. Loved the Syllabus

RM

Sep 23, 2022

t​his course is not for the week, its not challenging but you have to litle dictated...

Filter by:

26 - 50 of 62 Reviews for Data Analysis with R

By Thomas O

•

Aug 7, 2022

great course.

Learned a lot

By Toni E

•

Jul 12, 2023

very challenging course

By Reycel B

•

Nov 7, 2024

HIGHLY RECOMMENDABLE

By Janier R

•

Oct 14, 2022

nice cours , thanks

By Suvegan G

•

Nov 17, 2021

Course is very good.

By SijiSkillup31

•

Jan 27, 2026

Good for beginners

By Monika S

•

Jan 27, 2026

Very informative.

By Niveditha

•

Feb 10, 2026

Excellent course

By MD H H

•

Jan 27, 2026

Excellent course

By gerald m

•

Jul 31, 2023

Excellent course

By Sameep P

•

Jan 27, 2026

Amazing course

By Manvi G

•

Jan 27, 2026

Amazing Course

By Kyla M T D C

•

Jul 1, 2022

learned a lot!

By Wahab A

•

Feb 27, 2023

Best Course.

By Janna D

•

Jul 10, 2022

nice course

By Alima A

•

Jan 27, 2026

very nice

By Ahnami A

•

Jul 17, 2024

Fantastic

By Krishna S A T

•

Apr 11, 2023

VERY GOOD

By Kevin Q

•

Nov 10, 2022

next onE

By Ramzi B S

•

Sep 3, 2023

Great

By B A

•

Oct 9, 2024

Good

By Eslavath S

•

Sep 17, 2024

nice

By James J

•

Apr 17, 2025

A good course for learning data analysis skills. My one critique is that model evaluation section was possibly a little overly complicated for non-academic professionals(for example I found lasso and ridge modeling very difficult to understand). Besides that it was a very interesting course.

By Deependu G

•

Oct 1, 2023

The only problem for me was understanding that lab practice problems are in Jupyter Notebook, instead of the R script! Strange but dealt with it!

By Respect M

•

Sep 24, 2022

this course is not for the week, its not challenging but you have to litle dictated...