A live data science with Python course for students who already know basic Python. You clean real data, draw charts, use statistics and build first prediction models. Small batches, Hinglish classes, and a mentor reviews every assignment.
At a glance
Tools
Who it's for
Before you start
Outcomes
Real skills you can show — every project goes on your GitHub.
Syllabus
Each module has a clear goal, live classes, a lab session and practice you push to GitHub. Your mentor reviews it and tells you exactly how to improve.
Module 1
Set up a data workspace and handle arrays and tables with confidence.
PythonJupyterNumPyPandas
Practice: Explore a school or city open dataset
Module 2
Turn a messy file into a clean table ready for analysis.
Pandas
Practice: Clean a messy customer or sales file
Module 3
Pick the right chart and make it clear enough for a non-technical reader.
MatplotlibSeabornPlotly
Practice: A one-page chart report on a dataset of your choice
Module 4
Use statistics to tell real patterns from luck.
SciPystatsmodels
Practice: Test whether two groups really differ, such as two class sections or two shop locations
Module 5
Explore a new dataset step by step and write down what you find.
Practice: Full EDA notebook on a public health or survey dataset
Module 6
Build simple models, check them properly and explain what they do.
scikit-learn
Practice: Predict a number and a category from the same dataset
Module 7
Finish two end-to-end projects and publish them on GitHub.
GitGitHub
Practice: Sales forecasting · Health data analysis · Survey analysis
Projects
Pick one, plan it like a real team with tickets, build it, and present it. It becomes the centrepiece of your portfolio.
Study past sales, find trends and seasons, and build a simple forecast with an honest error check.
Explore a public health dataset, answer three questions with charts and tests, and note data limits.
Collect a small survey, clean the answers, and report what the data can and cannot say.
Opening soon
This specialisation isn't scheduled yet. Join the waitlist and we'll tell you first when a batch opens. We open the courses with the most interest first.
Where it can lead
Roles this skill helps you towards
No course can guarantee a job. We help you build real skills, real projects and a portfolio you can show.
FAQ
The batch is not scheduled yet. Join the waitlist and we will tell you first when dates are fixed.
Yes, basic Python is needed. If you are new, start with our Python programming course and then join this one.
Classes are in Hinglish, a mix of Hindi and English. Notes, code and datasets are in English so you can read any tutorial later.
School-level maths is enough. We explain statistics step by step with code and real examples, not heavy formulas.
Python is our main language. R is shown briefly as an optional extra, so you know what it looks like.
Yes, a laptop or desktop with internet. Phones and Android tablets are not enough for data work.
Keep going
This Python course takes you from your very first line of code to useful programs, games, scripts and data tools. Classes are live, in small batches of up to 30, taught in Hinglish, and a mentor reviews every assignment you push to GitHub. Python is taught inside our Starter and Builder programs.
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