Description
In this course, you will learn :
- IDE R-studio
- R operations
- R Functions
- dplyr package in R
- R Functions: grepl(), grep(), sub(), apply()
- Database import
- R SQL queries
- Web Scraping
- EDA
- Plotting Graphs
- Data Visualization
- GUIs
- Spatial Analysis
- Data Mining
- Machine Learning Algorithms
- Association Rules
- Recommender Engines
- Regression Techniques in R
- Anova Technique
- Sentiment Analysis on Twitter data
- ML Algorithms: Decision Tree and Random Forest
Syllabus :
- Introduction to Data Analytics
- Introduction to R Programming
- Data Manipulation in R
- Data Import Techniques in R
- Exploratory Data Analysis
- Data Visualization in R
- Data Mining: Clustering Techniques
- Data Mining: Association Rule Mining & Collaborative filtering
- Linear and Logistic Regression
- Anova and Sentiment Analysis
- Data Mining: Decision Trees and Random Forest