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IBM

Data Analysis with R

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.

Status: Data Science
Status: Data Cleansing
IntermediateCourse15 hours

Featured reviews

RN

5.0Reviewed Mar 2, 2023

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

PM

5.0Reviewed Jul 23, 2022

Excellent content, very easy to coorealate with the practical world.

PG

5.0Reviewed Jul 24, 2022

One of the best courses for learning R programming and data analysis.

RM

4.0Reviewed Sep 23, 2022

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

NG

5.0Reviewed May 20, 2023

This course is very wonderful and exciting. This helped mw in learning lot of things. I thank IBM for offering this course through Coursera

MA

5.0Reviewed Aug 13, 2023

I learn many things from this course about data analysis. it is very understandable course. i enjoyed it.

S

5.0Reviewed Jan 26, 2026

Well structured course, clear explanations, practical examples, highly recommended overall.

CB

5.0Reviewed Dec 2, 2022

Demanding for beginners but rewarding. A lot of extra-curricular study required

VA

5.0Reviewed Aug 3, 2021

I could not use WatsonStudio and used RStudio instead. It might have caused problems to the reviewers of peer assignment. Course content is good.

DG

4.0Reviewed Sep 30, 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!

HM

5.0Reviewed Dec 28, 2022

Great instruction! Pretty helpful lab. Awesome final project design.

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