Overview and Objectives

Data Science: Intermediate

This course focuses on Data Analytics for professionals who have 2 -3 years working experience in other domains such as finance, business planning, marketing or sales.

This course provides knowledge on all the key techniques such as Statistical Analysis, Probability Theory, Regression Analysis, Visualisation with Matplotlib, Python, Text Mining, Natural Language Processing, Text Clustering and many more.

Hardware and Software Requirements

Hardware: Learners need access to computers with Internet access.

Software:Learners will have access to Python, SQL and Matplotlib.

Learning Outcomes;

The Learner will:         

1. Understand the skill sets needed to be a data scientist.

2. Be able to describe the data science process and how these components interact.

3. Understand probability theory and random variables. 

4. Understand statistics concepts.

5. Be able to perform linear regression analysis and statistical data modelling techniques.

6. Be able to create and manipulation of databases with Python                          

7. Be able to  create  visualization  with Matplotlib.                                   

8. Be able to   design   and   develop database system

9. Understand text mining  and  natural language processing techniques.

10. Be able to classify text to categories.


  • Introduction to Data Science    
  • Probability       Theory and       Random Variables       
  • Statistics Concepts
  • Linear   Regression Analysis and Statistical       Data
  • Modelling Techniques 
  • Introduction     to Python        
  • Python with SQL
  • Visualisation    with Matplotlib
  • Database System
  • Design and Develop  Database System using SQL
  • Text   Mining   and Natural   Language Processing
  • Text Classification
  • Text Clustering