IBM - Data Analysis with R

4.7 /5

(3 Ratings)

Offered byCoursera

Data Analysis with R
at
Coursera
Overview

Duration	12 hours
Start from	Start Now
Total fee	Free
Mode of learning	Online
Difficulty level	Intermediate
Official Website	Explore Free Course
Credential	Certificate

Data Analysis with R
at
Coursera
Highlights

Shareable Certificate Earn a Certificate upon completion
100% online Start instantly and learn at your own schedule.
Flexible deadlines Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 12 hours to complete
English Subtitles: English

Data Analysis with R
at
Coursera
Course details

Skills you will learn

Excel Regression R Anova Data Science Statistics Data analysis

More about this 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.
This course is part of multiple programs
This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:
Applied Data Science with R Specialization
IBM Data Analytics with Excel and R Professional Certificate