About The Course

This course is designed for professionals who aspire to learn 'R' language for Analytics. The course starts from the very basics like: Introduction to R programming, how to import various formats of Data, manipulate it, etc. to advanced topics like: Data Mining Technique, performing Predictive Analysis to find optimum results based on past data, Data Visualisation using R Commander, Deducer, etc.

 

Course Objectives

After the completion of 'Mastering Data Analytics with R' at Edureka, you should be able to: 

1. Understand the fundamentals of 'R' programming 

2. Explore data manipulation with functions like grepl(), sub(), apply(),etc. 

3. Apply various Data Importing techniques in R 

4. Perform exploratory Data Analysis 

5. Learn where to use functions- cor(), llist(), hclust(), lm(), glm(), etc. 

6. Apply Data Visualisation to create fancy plots 

7. Understand Machine Learning (ML) Techniques 

8. Apply Data Mining and understand Decision Trees and Random Forests 

9. Implement k-means clustering algorithm to perform Text Analysis 

10. Study Association Rule Mining to predict buyers' next purchase 

11. Explore and understand Sentiment Analysis 

12. Understand the concept of Regression 

13. Implement Linear and Logistic Regression and understand Anova 

14. Apply Predictictive Analytics to predict outcomes 

15. Work on a real life Poject, implementing R Analytics to create Business Insights