Advanced Data Science



Advanced Data Science

This programme provides participants with the knowledge, skills and experience associated with Data Science.  The participants will explore a range of tools, algorithms, Machine Learning and statistical techniques, with the aim of discovering hidden insights and patterns from raw data in order to inform scientific business decision making.  The programme covers key areas of Data Science, like Data Analytics, Machine Learning and Artificial Intelligence.

This programme is designed for professionals involved in Data Science.  The programme is also well suited for the youth, students and graduates who wish to pursue professional careers in Data Science, Computer Science, Software Engineering, Academic Research, Business Analysis and Machine Learning.

Duration:  8 weeks.

Mode:  Course are facilitated by our expert faculty via our video conferencing platform.

Programme Content

  • Introduction to Data Science terminology, definitions, and concepts
  • The evolution of Data Science
  • Introduction to relevant mathematical and statistical analysis techniques, algorithms, programming, visualisation and cloud concepts
  • Introduction to data structures, cleaning, accessing, filtering, analysing, using, communicating and, managing data utilising cutting-edge software
  • Introduction to Machine Learning, Artificial Intelligence, Robotics, and Blockchain
  • Modern application of Data Science
  • Digital Transformation strategy
  • Critical success factors in the management of Data Science projects

What will you learn

  • 15+ projects on Industrial applications of data science
  • Live case studies
  • Python libraries used for data science projects
  • Data Analysis and visualization tools
  • Capstone project

Course Breakdown

    Session 1 – Fundamental concepts, Mathematical and statistical analysis techniques
    Session 2 – Applications of data science
    Session 3 – Introduction to python programming
    Session 4 – Exploratory data analysis
    Session 5 – Supervised learning algorithms
    Session 6 – Unsupervised learning algorithms
    Session 7 – Model selection and evaluation techniques
    Session 8 – Natural language processing
    Session 9 – Feature extraction and modelling
    Session 10 – Sampling methods for data science projects
    Session 11 – Introduction to Neural networks, Types of neural networks
    Session 12 – Deep Learning algorithms
    Session 13 – Data visualization using Tableau
    Session 14 – Capstone Project
    Session 15 – Capstone project

Request a Callback
Course Start

30 October 2021


South Africa




R       9 900.00

₹     82 000.00

₦   287 100.00

$           695.00

** Pricing is subject to lockdown taxes and foreign exchange rates.



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