A beginner-friendly course designed for university students/graduates, and working professionals curious about Data Science. You will learn skills in Python and Google Colab from scratch, building a foundation to join our Data Science Bootcamp. No prior programming experience is required.
From tech to business, healthcare to government, data is driving smarter decisions everywhere. This beginner-friendly course offers a hands-on introduction to the essential tools and concepts of data science. You’ll learn to use Google Colab and beginner-friendly Python libraries, such as pandas, matplotlib, and seaborn, to analyze and visualize real-world data.
By the end of the course, you’ll be able to perform basic statistical analysis, build visualisations, and confidently draw data-driven conclusions — all with no prior coding experience required. This course is the ideal starting point for anyone interested in joining the Data Science Bootcamp. Start here, build your confidence, and take the first step toward a data career.
Start here | Build Confidence | Your career in Data Awaits
Data Science is the process of using data to make smart decisions. It combines skills from math, statistics, and computer science to collect, clean, analyse, and interpret data into valuable insights. In simple terms, data scientists find patterns in data to answer questions for professionals in sales/marketing/health/traffic/customer-care, supermarkets etc
This course is designed for complete beginners with no prior programming or math experience. If you have computer literacy skills, this is for you.
You don’t need to be a math genius or a coding expert to get started. With a technical mentor’s guidance, anyone can learn the basics of data science.
No prior experience in programming, math, or statistics is required.
You’ll build practical, hands-on skills to kickstart your data journey — no experience needed.
We guarantee you will learn market-aligned skills through our practical and comprehensive curriculum.
Objective: Understand what data science is, what data scientists do, and get comfortable using Google Colab to run basic Python commands.
Objective: Learn basic programming logic and control structures in Python.
Objective: Learn how to read, clean, and manipulate datasets using pandas.
Objective: Learn to describe and visualise data using Python.
Objective: Use SQL to explore tabular data with simple queries.
Curious about Data Science?
This course is designed for complete beginners.