Data Science
with Python 4.0

Recruiters from Google, Standard Chartered and IBM prefer candidates with Python experience.

Learn Python to handle Big Data easily!

Python is the world’s most popular and in demand programming language because it’s easy to learn and deploy. Python is both fast and result driven and so that has made it popular even among people who are not programmers by profession, but whose majority of work is collection, processing and presentation of data.

More and more Accountants, Data Analysts, Business Analysts and Risk Managers are learning Python for developing reports, calculating complex information and presenting data in the form of dash boards and financial reports.

Course Coverage:

This course is specially designed for people who are not only new to Python, but also want to up their game and excel in their careers using Python. This course is your pass to the BIG DATA domain!

The program starts with the basics of Python from understanding and learning how to code, what are the major concepts of Python and how to perform complex calculations using it . It later takes a deep dive into the advanced concepts of Python before further moving on to a more advanced level consisting of data analysis and data presentation. In the later modules, the program covers data presentation in the form of tables, charts, grids, and displaying images with Matplotlib. It also  covers data collection, cleaning, processing and plotting using Seaborn. 

The course comprises of 5 modules, spread over 8 – 10 weeks, and consists of multiple assignments and a quiz to conclude each module. 

At the end of the course, you should be able to use python to:

  • Carryout complex calculations 
  • Perform Data Mining and complex Data Analysis on huge data records
  • Make Interactive Dashboards, Business Presentations and other Reports for Boards

Learning Modules:

  • Module A – Introduction to coding & basic calculator
  • Module B – Advanced Python coding
  • Module C – Data Visualization with Matplotlib and Seaborn
  • Module D – Data Manipulation with Python
  • Bonus Module: Introduction to Machine Learning with Python

Credit Hours

30 Hours

Delivery Channel



Get a shareable certificate


Beginner to Expert

  • Accountants and Finance Managers
  • Data Science professionals
  • Risk Managers
  • BusinessAnalysts
  • Data Analysts
  • Programmers

Date and Time:

  • 8 – 10 weeks course
  • Live classes. Next batch starting on September 18, 2023
  • 3 classes a week; Wednesday, Thursday and Friday
  • 10:30AM (GMT-5) / 8:30PM (GMT+5)
  • 1 hour a day
  • Recorded sessions available on LMS 


Participants will receive a successful course completion certificate subject to completion of post training quiz and assignment. 


At the end of each Program we carry out a survey to ensure our participants receive the best of our services.


Ahmed Gamal is an Applied Data Scientist at Tarjama the IT company building Machine Translation models He is also Machine Learning Lead at Udacity He was previously a data scientist at Unilever Egypt where he has remained in charge of projects for Creating dashboard for sales for MEPS (The Middle East Pakistan Sri Lanka) region Automating the generation of analytics reports using Airflow, Python, and Power BI Creating a dashboard for mobile Application usage (UFS Sales Pro) that serves as a tracking tool for Unilever He is a Bachelors’ in Computer Science and a Machine learning Engineer.

Past Clients