Detailed Curriculum
A structured roadmap from Python fundamentals to introductory machine learning.
- Setup with Python and notebooks
- Syntax, variables, data types, and operators
- Control flow and functions
- Lists, dictionaries, sets, and other core structures
- Handling errors cleanly
- Structuring reusable, readable code
- NumPy arrays and numerical operations
- Reading and shaping array data
- Working with array shapes and data types
- Pandas Series and DataFrames
- Reading, cleaning, and transforming data
- Grouping, aggregating, and exporting results
- Matplotlib chart fundamentals
- Seaborn statistical plots
- Finding patterns, trends, and data quality issues
- Descriptive statistics and distributions
- Probability, confidence intervals, and hypothesis testing
- Linear regression, classification, validation, and a practical project
Python with Data Science Workshop
Apply first. Review next. Payment after enrollment — no payment is collected now.
Apply NowWhy This Workshop?
Practical Learning Approach
Code-first throughout - you write and run every concept from the first session.
Project-First Approach
Each module feeds a guided data analysis project on a real dataset.
Industry-Relevant Skills
Build fluency in Jupyter, Pandas, NumPy, Matplotlib, and scikit-learn - the everyday data toolkit.
Small Cohort & Guided Feedback
A small cohort with guided support as you move from fundamentals to your first model.
What You Receive
Practical Project
A guided data analysis project with cleaning, EDA, visualisation, and an introductory model.
Portfolio-Ready Work
Notebook-based exercises and a project write-up you can share as evidence of your skills.
Workshop Completion Recognition
Recognition for completing the 5-week Python with Data Science program and its project.
Ready to Work with Data from First Principles?
Join the 5-week workshop. Move from Python basics to data analysis and introductory ML with confidence.
Apply NowFAQs
The Python with Data Science workshop is a 5-week beginner-to-intermediate program that takes you from Python fundamentals through data handling, visualisation, statistics, and introductory machine learning. You'll complete a guided data analysis project and build an introductory ML model.
Students and early builders who want a structured entry into Python and data work. No prior data science experience required — just basic computer familiarity.
No prior data science experience is required. Basic computer familiarity is useful. The workshop starts from Python basics and progressively builds to data science and ML concepts.
Python, Jupyter, NumPy, Pandas, Matplotlib, Seaborn, scikit-learn — the standard data science toolkit. All tools are free, open-source, and standard in the industry.
A guided data analysis project using a real dataset, followed by an introductory regression/classification model and clear findings. You'll also complete notebook-based exercises throughout the program.
5 weeks. Structured weekly sessions with code-along sessions, guided data work, portfolio integration, and mentor support throughout.
Click "Apply Now" on this page. Fill out the application form. 80 Startups will review your application and contact you regarding next steps. No payment is required to apply.
Payment is collected after enrollment confirmation, not during application. The workshop price is ₹5,000. You apply first, 80 Startups reviews your application, and if accepted, you'll receive payment instructions. No payment is collected now.