Module 1: Introduction to Big Data Analytics
- What is Data?
- Why Data Collection is Important
- Types of Data
- What is Data Science?
- Characteristics of Big Data – The Three V’s of Big Data
- Big Data Analytics and its Types
Module 2: Data Analytics Lifecycle
- Data Analytics Lifecycle Overview
- Detailed Explanation on Data Analytics Lifecycle
Module 3: Basic Programming Terminologies
- Variables
- Constants
- Keywords
- Comments
- Syntax
Module 4: Getting Started with R
- What is R?
- Install R and RStudio
- Explore RStudio Interface (With Lab Exercises)
- Comments
- Syntax
Module 5: Data Types in R
- Numbers
- String
- Vector
- Matrix
- Arrays
Module 5: Data Types in R
- Data Frames
- Lists
- Factor (With Lab Exercises)
Module 6: Control Structures and Functions in R
- Conditional Statements
- Looping Statements
- Operators
- Functions Syntax
- Scoping Rules
- Subsetting
- Apply Functions (lapply, sapply, vapply)
- Debugging Tools
- Split Function
Module 7: Dealing with Date and Time in R
- Date Time Representation
- Date Time Arithmetic
- Date Time Comparison
Module 8: Data Gathering
- Reading Data from CSV File
- Reading Data from JSON File
- Reading Data from XML File
- Reading Data from Web
Module 9: Data Cleansing and Exploration
- Extract, Transform and Load (ETL)
- Data Cleansing
- Aggregation, Filtering, Sorting, Joining
- Dealing with Missing Data
- Selecting Columns and Rows
- Data Wrangling
- Summarise and Group By
Module 10: Simulation and Profiling
- Random Sampling
- Generate Random Numbers
- R Profiler
Module 11: Data Visualisation
- What Is Visualisation?
- Need of Visualisation
- Types of Visualisation
- How to Handle the Properties for Chart Creation
- Activity
Module 12: Getting Deeper into Data Visualisation
- Scatter Plots
- Boxplots
- Bar Charts
- Pie Charts
- Histograms
Module 13: Creating Graphs with ggplot
- Getting Started with ggplot
- Mapping Color, Shape and Size
- Creating Attractive Color Scheme
- Creating Bar Charts
- Creating Box Plots
Module 14: Advance Graphs in ggplot
- Correlation
- Deviation
- Ranking
- Distribution
- Composition
- Time Series Plots
- Groups
- Spatial
Module 15: Shiny R Package
- Introduction
- How to Build a Simple Shiny Module?
Final Evaluation (Exam)