Advanced Coding



Advanced Coding

Digital literacy is the foundation upon which Coding skills are built. This programme develops Coding skills for solving real-life problems in the new digital world.  The programme explores core programming skills and then develops proficiency in popular future-oriented Coding languages, paving the way to a career in software engineering.

This programme is for professionals involved in Coding.  The programme is also well suited for the youth, students and graduates who wish to pursue a professional career in Coding; paving the way to a career in software engineering.

Duration:  8 weeks.

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

Programme Content

  • Introduction to Coding terminology, definitions, and concepts
  • The evolution of Coding
  • Introduction to problem solving, analytic logic, and information theory
  • How computers work: introduction to computer science, algorithms, and the internet
  • Introduction to the fundamentals of software engineering, Coding and some of the fastest growing Coding language
  • Introduction to Data Science, data structures, accessing, filtering, comparing, managing data, and utilising popular software
  • Coding a website using cutting-edge technologies and Coding languages
  • Introduction to Artificial Intelligence, Robotics, Machine Learning, and Blockchain
  • Critical success factors of Coding

What will you learn

  • 15+ projects on Industrial applications of Python
  • Python refresher with a recap of python structures
  • Libraries for Data Analytics
  • Structured Queries with Python.
  • Data visualization with predictive analytics.
  • Web Development Tools
  • Web Development Tools

Course Breakdown

    Session 1 –  Python Refresher, Recap of Python Data Structures.
    Session 2 – Statistics for Data Science and Libraries for data analytics and statistics
    Session 3 – MySQL and SQLLite in databases
    Session 4 – Tkinter Programming for GUI
    Session 5 – Matplotlib for Data visualization, MatplotLib chart and customization
    Session 6 – Seaborn for Data visualization, Seaborn chart and customization
    Session 7 – Numpy, Scipy, Pandas for Data Analysis, Scikit-learn for machine learning
    Session 8 – Data Wrangling for the transformation of raw data and Data Mugging for process analytics
    Session 9 – Web Scraping for extracting data
    Session 10 – Supervised and Unsupervised Learning Algorithms in Machine Learning
    Session 11 – Django for web framework for web development
    Session 12 – Flask API for web applications
    Session 13 – Competitive Programming for Hackathons
    Session 14 – GIT Hub for access control and storing projects and Kaggle
    Session 15 – NLP with sentiment Analysis for Mining and classification and Capstone Project

Request a Callback
Course Start

16 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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