The Complete Data Science Course with Python
Analytics, statistics, visualisation and storytelling — everything a data role asks for.
What you'll learn
- Master the Python data stack: Pandas, NumPy, Matplotlib, Seaborn
- Clean and reshape genuinely messy real-world data
- Run exploratory analysis that finds the story, not just the summary stats
- Apply statistics and probability correctly to business questions
- Build dashboards and charts people can read in five seconds
- Write SQL confident enough for a technical interview
- Present findings to non-technical stakeholders
- Complete 3 end-to-end analytics case studies
What's included
Course content 7 sections · 29 lessons · 10h 19m total
Requirements
- No prior data science experience needed
- Basic computer skills and internet access
- Comfort with school-level maths
- A curious, consistent approach — that is genuinely most of it
Description
A complete, job-focused Data Science course covering the full analyst-to-scientist path.
You will learn to take a raw, ugly dataset and turn it into a decision: cleaning, exploring, visualising, testing assumptions, and finally presenting findings in a way a business stakeholder acts on. We spend real time on the part most courses skip — communicating results.
Built around real datasets, not the iris flowers.
Your instructor
Pratik Naiya
Pratik Naiya builds production AI systems, automations and data products at HackWithPro. He has shipped AI agents, RAG helpdesks and document-intelligence pipelines for real businesses, and teaches the exact workflow he uses on client projects.
Frequently asked questions
Still deciding?
Tell us what you are trying to build and we will say honestly whether this course is the right fit — or point you at something better.