Overview and Objectives

This Short Course in Data Science: Expert focuses Data Science team leaders who are looking to step into senior management role. Participants will learn the structure of the data science pipeline, the goals for each stage, and how to keep the team on target.

This course provides knowledge on all the key techniques such as Predictive Analysis, Big Data, Web Scraping, Data Mining and many more.

Hardware and Software Requirements

Hardware: Learners need access to computers with Internet access.

Software:Learners will have access to Hadoop.

Learning Outcomes;  

The Learner will:                  

  1. Be able to explain ethical and privacy issues  in  data  science  conduct  and apply ethical practices .
  2. Understand the life of a data scientist identify problem,   define question, define   ideal   dataset,  obtain and analyse data, and distribute results.
  3. Understand the basics of optimization and how to formulate the problem.
  4. Be able to   formulate   the linear programming and the integer programming
  5. Understand big data concepts and the importance of data mash-up.
  6. Be able to  perform  data  collection using web scraping tool
  7. Be able to make predictions  using multiple regression models
  8. Understand data mining process
  9. Be able to perform model evaluation and deployment


  • Data Science Process   
  • Optimisation and How  to Formulate the Problem
  • Big Data Concepts
  • Data Mashups and Big Data Infrastructure
  • Data Collection with Web Scrapping Tools
  • Introduction to Predictive  Analysis and  Prediction to Multiple Regression Model          
  • Introduction to Logistic Regression
  • Time    Series Modelling & Predictive  
  • Modelling Techniques
  • Data Mining, Data Exploration, Cleaning and Visualisation
  • Data Transformation and Reduction
  • Cluster Analysis
  • Decision  Tree  and Model Evaluation & Deployment