Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 6 Minute(s)
Language
English
Taught by
Gopal Prasad Malakar
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
1 views
Course Overview
Analytics / Data Science: Learn to Import, Sort, Merge, Subset, Append, Freq, Univariate, Regression, Derive variable
What is this course about?
This course helps student learn R syntax for
Import / Enter / Viewing data and metadata in R
Conduct Frequency Distribution Analysis / Univariate Analysis in R
Create derived variables
Merge / Append data sets
Sort / Subset data sets
Learn to substring variables
Create cross tab analysis
conduct Linear Regression analysis
10 Practice case studies
Terminology associated with the course
R syntax
Data Mining
Analytics
Machine Learning
Material for the course
20 HD Videos
Excel Data sets
PDF of presentation
R code
How long the course should take?
Approximately 4 hours to internalize the concepts
How is the course structures
Section 1 - explains how to get R, R Studio, Understand environment and data for workout
Section 2 - explains the R syntax through examples
Section 3 - explains some other syntax needed for working
Section 4 - Practice Case Studies - apply your knowledge to solve business problems
There are 10 workouts included in the course, which will help users to master the concepts of R programming from industrial usage perspective. Students should try these practices on their own before jumping to solution provided.
Why take this course?
This course ensures quick learning in a simplified way. It explains the most important aspects of working on data and conduct analysis through example.
Course Content
- 5 section(s)
- 49 lecture(s)
- Section 1 Getting Started with R
- Section 2 Work with Data
- Section 3 Other R procedure
- Section 4 Practice Case Studies - apply your knowledge to solve business problems
- Section 5 Appendix Topics (based on student's demand)
What You’ll Learn
- Import / Enter / Viewing data and metadata in R
- Conduct Frequency Distribution Analysis / Univariate Analysis in R
- Create derived variables
- Merge / Append data sets
- Sort / Subset data sets
- Learn to substring variables
- Create cross tab analysis
- conduct Linear Regression analysis
Skills covered in this course
Reviews
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RRamesh Chander
Detailed explanation about R packages, syntax and interpretation of the results.
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FFrancis Fernandes
Nicely explained and guided well
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RRajat Chowdhury
This is really effective course. Lot of examples have been covered which are very helpful. It would great if an advanced course on R can also be published. Thanks Rajat Chowdhury
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GGlynda Finister
I'm not even finished with the course but I'm so impressed with the Instructor. He is thorough and has a good speaking voice. I love the content of the material and the diagrams. Best of all he provided the code, database files and a lot more resources. I know I'm going to love finishing the rest of the course. Even the course transcripts were cleaned up. Most Instructors, especially those who speak in foreign dialect produce horrible transcripts. This Instructor uses good English and appears to have cleaned the transcripts himself or maybe it's because his English was so good. Either way, I'm impressed. I highly recommend this Instructor and I'll be looking for his name to sign up for more of his courses.
