'IT Support for Research' Workshop: Data analysis with R (Afternoon session)

Data analysis cover process of inspecting, cleansing, transforming, and modelling data with the goal of deriving insights from data for making informed decision. In this workshop, students will be equipped with the knowledge of data analysis technique with R through examples. Practical coursework and homework will be provided throughout the workshop.

'IT Support for Research' Workshop: Data analysis with R

(Afternoon class)

Date: 25 Feb (Fri), 4 Mar (Fri), 11 Mar (Fri), 18 Mar (Fri), 25 Mar (Fri)

Time: 14:30 – 17:00

Target Audience: RPg, TPg and Ug students

Pre-requisite: Basic R programming skill or completed Basic R workshop and Data visualization with R workshop

Medium of Instruction: English

Course Outline:

Lesson 1

• Performing Data Analysis
  • Typical Data analysis process
• Data requirement Gathering and Collection
• Data Cleaning
  • Evaluate the quality of data
  • Handle Dirty Data
    
  • Implement data cleaning process

Lesson 2

• Data Analysis, visualization and interpretation
  • Descriptive Statistics with graph (I)
    • Descriptive statistics by group(s)
    • Descriptive statistics by single group

Lesson 3

• Data Analysis, visualization and interpretation
  • Descriptive Statistics with graph (II)
    • Descriptive statistics by multiple groups
  • More on Trending and Prediction
    • Customer segmentation analysis
      • RFM Analysis
        

Lesson 4

• Case 1: Sales of items together (Apriori Algorithm)
  • Data preparation for modelling
  • Data modelling with testing and training data
  • Evaluation of data modelling
  • Finding the frequent itemsets

Lesson 5

• Case 2: Sales Prediction (Time Series forecasting)
  • Data preparation for modelling
  • Data modelling with testing and training data
  • Evaluation of data modelling
  • Sales forecasting