Network Analysis, Graph Analysis and Introduction to Data Wrangling

The programme will allow learners to use Python and R programming and its libraries effectively; to clean and wrangle data, to apply algorithms on graph or network data structures in order to prepare analysis modelling.

Key Objective

  1. Analyse the connectivity of network and design a model problem into the database.
  2. Predict the evolution and analytical task over time in scalable manner.
  3. Able to import and manage structured and unstructured data.
  4. Manipulate, transform and summarise database.
  5. Implementing various formats effectively in cleaning and wrangling data analysis.

Duration

5 Days

Target Audience

  1. Supervisory
  2. Executives
  3. Managers