course detail

This course exposes students to explore, manipulate and visualise data for use in different capacities. Using Python and Python libraries and frameworks, students will learn to make sense of raw data and identify patterns and trends in the data they work with. 


This course gives you a headstart for further studies in Machine Learning. At the end of this course you will be able to make sense out of big data.

who should enroll?

This course is for :

  • anyone who wants to start a career in Data Science and Machine learning.
  • managers and employees who work with big data and use it as a basis for decision making
  • marketing & consumer-focused teams that analyse consumer patterns and behaviours to draw up effective marketing and customer satisfaction strategies

what will you learn?


GIT and GitHub





Introduction to Machine Learning

Business Intelligence


Interviews are in the form of bootcamps. You can take this interview online at your own convenience (but before 18th June 2022) or offline on the following dates:

14th, 21st & 28th May, 2022

11th & 18th June 2022

Acceptance emails will be sent out a few days after each interview. Be sure to respond to the mail as soon as you can. Deadline for Acceptance is 6th August 2022.

Onboarding or accepted students will be from 15th – 20th August with lessons starting on the 27th of August 2022

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