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4.80(5 Ratings)

Data Science using R Programming

This course is designed to master techniques like data exploration, data visualization, and predictive analytics and descriptive analytics with the R programming language. The course covers the import and export of data in R, data structures in R, different statistical concepts, cluster analysis, and forecasting. Student will gain an understanding of analyzing data to help companies make more effective business decisions.

What Will I Learn?

  • Hands-On Capstone project
  • Case studies
  • For the industry by the industry
  • Cutting edge curriculum

Topics for this course

Introduction To R Programming

R Programming Essentials

Fundamentals of R Language

Data Visualization and Data Manipulation

Testing of Hypothesis

Exploratory Factor Analysis

Machine Learning with R-language

Analysis of Variance

Linear Regression Using R

Logistic Regression Using R

Time Series Analysis

Decision tree and Clustering

Text Mining and Sentiment Analysis

Market Basket Analysis

Student Ratings & Reviews

4.8

Total 5 Ratings

5
1 rating
4
1 rating
3
0 rating
2
0 rating
1
0 rating

The course content is very good. Assignments were very much helpful in order to understand the topics properly. All the topics are explained with proper examples.

Classes are very interactive. Course content is structured and is with relevant project work. I would recommend people to go with this course

Great experience! This course helped me to learn from scratch. I am totally new in the data science field. The faculty explained all codes from very basic and was well taught out. Now I am confident enough to apply my experience in real-world jobs.

Very good course and well explained with hands-on practical case studies. The faculty is very cooperative.

This course is helpful for beginners to advanced levels. It helps me a lot to understand R Programming.

Handson-R
12000

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