Introduction
- Introduction to Data Science with R
- Understanding Datascience and its Modules
Tools
- R Project for Statistical Computing
- Purpose of using R Tool
- Module on Data Visualization
Creating Pie Charts and Bar Chart
- Creating Pie Charts
- Creating Bar Charts
Creating Histograms
- Functions of Histogram
- Method of Using Scatterplots
- Creating Data for Line Charts
Basic Data Visualization
- Case Study for Vector Values
- Module on Advanced Data Visualization
Ggplot Value
- with Functions for Plotting Values
- How to Plot Car Value
- Understanding the Ggplot Value
- Basic Example on Scatterplot
- Scatterplot With Encircling
- Learning the Jitter Plot
- Counts Charts in Ggplot
- Section on Bubble Chart
- Diverging Bars with Ggplot
- Diverging Lollipchart with Ggplot
- Implementation of Dot Plot
- Purpose of using Area Charts
- Ordered Bar Chart for Multiple Items
- Simple Demonstration on Pie Chart
- Example on Hierarchical Dendrogram
- Learning about the Population Pyramids
- Understanding the Change Plot
- Case Study on Seasonal Plot
- Basic Understanding on Statistics
Regression
- Implementation of Mean Median and Mode
- Understanding the Linear Regression
- Understanding Multiple Regression
- Functions of Logistic Regression
- Learning Normal Distribution Curve
- Understanding the Binomial Distribution
- Involvement of Poisson Regression
- Analysis of Covariance
- Time Series Analysis
- Nonlinear Least Square
- Section on Decision Tree
- The Random Forest Approach
- Learning the Chi Square Test
- Case Study on Survival Analysis
Machine Learning and its Concepts
- Understanding the Concept of Probability
- Counting the Number of Combinations
- Generating Random Numbers
- Generating Random Sequences
- Converting Probabilities to Quantiles
- Criteria for Plotting a Density Function
- Concept of Data Manipulation
- Module on Machine Learning
- Machine Learning Concepts with R
- Machine Learning Datasets
- Machine learning project with R
