PyPro: Python & Data Science Foundation

Program Overview

Program Name	PyPro: Python & Data Science Foundation
Domain / Stream	PYTHON
Duration	1 Month (4 Weeks)
Mode	Online (Self-Paced + Weekly Tasks)
Certificate	Yes — MSME & ISO 9001:2015 Certified
Program Fee	₹999 ₹499 50% OFF (One-Time)
Student Rating	★★★★★ 4.8 / 5 by 1000+ students
Offer Letter	Issued on Enrollment
Issued By	Shiva Tech Innovations (UDYAM-WB-14-0205610)

Program Details & Curriculum

Program Highlights

Data science the way it is actually practised. This 30-day internship takes you from data cleaning and EDA all the way to machine learning models and end-to-end pipelines — the exact workflow used by data scientists at product companies, startups, and research teams. Every module is crafted by expert mentors to Vidya standards. Vidya AI operates at every interactive zone, evaluating your work, correcting your thinking, and guiding you at every step.

Who Is This For

Profile	Details
Students	BCA, B.Tech, BSc (CS/IT/Maths/Statistics), MCA, MBA
Working Professionals	Freshers or early-career switching to data science roles
Prerequisites	Basic Python awareness helpful. No prior data science or ML required
Goal	Job-ready data science skills with a machine learning portfolio and a verified certificate

What You Will Learn

Skill Area	What You Will Be Able to Do
Python for Data Science	Use NumPy and Pandas as your core data engine
Data Cleaning and EDA	Handle messy real-world datasets and ask the right questions
Feature Engineering	Create variables that actually improve model performance
Statistics	Apply distributions, correlation, and hypothesis testing in real scenarios
Data Visualisation	Build charts and visual reports that tell a clear story
Machine Learning	Train, evaluate, and interpret regression and classification models
Clustering	Find hidden groups in data using unsupervised learning
Model Evaluation	Measure performance using accuracy, precision, recall, F1, and cross validation
End-to-End Pipeline	Take raw data all the way to a portfolio-ready data science deliverable

Program Structure at a Glance

Parameter	Detail
Duration	30 Days
Total Levels	8 Levels
Total Projects	5 Hands-On Projects
Content Standard	Crafted by expert mentors to Vidya standards
AI Mentor	Vidya AI — active at every interactive zone
Learning Format	Expert-designed videos + interactive zones
Final Tasks	5 Tasks — complete any 2
Tool Used	JupyterLite — runs entirely in browser
Certificate	Verified, issued after admin review and approval

Phase-wise Breakdown

Phase	Days	What Happens
Onboarding	Day 1–2	Application review, offer letter, platform orientation, environment setup
Learning Phase	Day 3–15	8 levels with expert videos, interactive zones, and MCQ gates at each level
Final Task Phase	Day 15–29	Choose 2 of 5 tasks, build independently, record, post on LinkedIn, submit

Level-wise Detailed Syllabus

Level 1 — The Spawn Point (Days 3–4)

Module	Topic
1.1	Data science in the real world — what actually happens at a job
1.2	NumPy — the engine behind every data operation
1.3	Pandas — shaping, slicing and understanding real datasets

Level 2 — First Blood (Days 4–5)

Module	Topic
2.1	Data cleaning — the job nobody talks about but everyone does
2.2	Exploratory data analysis — asking the right questions
2.3	Feature engineering — creating variables that actually mean something

Project 1 unlocks here — E-Commerce Dataset: Clean, Explore and Feature Build

Level 3 — Grinding Zone (Days 5–7)

Module	Topic
3.1	Statistics for data science — mean, median, std, distributions
3.2	Correlation, covariance and relationships in data
3.3	Hypothesis testing — making decisions with confidence

Level 4 — Skill Unlock (Days 7–9)

Module	Topic
4.1	Data visualisation — Matplotlib and Seaborn for real insights
4.2	Storytelling with data — building narratives from numbers
4.3	Dashboard thinking — choosing the right chart for the right story

Project 2 unlocks here — Healthcare Data: Statistical Analysis and Visual Report

Level 5 — Power User (Days 9–11)

Module	Topic
5.1	Introduction to machine learning — what it is and when to use it
5.2	Scikit-Learn — the industry standard ML library
5.3	Regression models — predicting numbers from real data

Project 3 unlocks here — House Price Predictor using Regression (Built live inside module)

Level 6 — Boss Arena (Days 11–12)

Module	Topic
6.1	Classification models — predicting categories from real data
6.2	Model evaluation — accuracy, precision, recall, F1 — what actually matters
6.3	Overfitting, underfitting and cross validation — real model problems

Level 7 — Elite Tier (Days 12–13)

Module	Topic
7.1	Clustering — finding hidden groups in data
7.2	Dimensionality reduction — PCA in real scenarios
7.3	Feature selection and model optimisation — squeezing real performance

Project 4 unlocks here — Customer Segmentation using Clustering

Level 8 — Final Boss (Days 13–15)

Module	Topic
8.1	End-to-end data science pipeline — real-world workflow
8.2	Presenting data science work — like a scientist, not a student
8.3	Portfolio-ready project delivery and industry simulation

Project 5 unlocks here — Churn Prediction: Full Data Science Pipeline

Hands-On Projects and What You Will Build

Project	Unlocks After	What You Build
Project 1 — E-Commerce Dataset	Level 2	Clean messy e-commerce data, run full EDA, engineer 3 new features — deliver analysis-ready dataset with insights
Project 2 — Healthcare Data Report	Level 4	Statistical analysis on patient data — distributions, correlations, hypothesis tests, full visual report with story
Project 3 — House Price Predictor	Level 5	Regression model from scratch — clean data, engineer features, train model, evaluate performance, interpret results. Built live inside module
Project 4 — Customer Segmentation	Level 7	Segment customers using clustering — find hidden groups, profile each segment, deliver business recommendations
Project 5 — Churn Prediction Pipeline	Level 8	Raw data to clean to EDA to features to model to evaluate to interpret to present — full industry-grade data science cycle

Assessment and Progression Rules

Rule	Detail
Gate Type	MCQ assessment at the end of every level
Gate Score	Must pass to unlock the next level
Level Unlock	Sequential — next level opens only after gate is cleared
AI Evaluation	Vidya AI grades short answers and open-ended responses in real time
No Shortcuts	Levels cannot be skipped or accessed out of order

Expert Mentors and Vidya AI

Every module — the concepts, examples, exercises, assessments, and challenge problems — is designed by expert mentors to Vidya standards. The progression is deliberate, every concept builds on the previous one, and nothing is filler.

Vidya AI operates at the top layer across every interactive zone.

What Vidya AI Does	How It Helps You
Checks every answer in exercises and quizzes	Immediate, accurate feedback at every step
Explains why a wrong answer is wrong	You understand the mistake, not just that you made one
Provides contextual hints when you are stuck	Guided toward the answer, not left without direction
Evaluates short-answer and open-ended responses	AI-graded feedback beyond multiple choice
Tracks performance across every zone	Nothing slips through unnoticed
Responds to doubts in real time	A mentor available at every moment of learning

Final Task Phase

After clearing all 8 levels, your Final Task Page unlocks on Day 15.

Step	Action
Step 1	Review all 5 tasks and choose any 2
Step 2	Complete your chosen tasks independently on your own machine
Step 3	Record your screen showing the completed solution
Step 4	Post your recording on LinkedIn professionally
Step 5	Submit your LinkedIn post URL on the platform before Day 29
Step 6	Our team reviews and approves your submission
Step 7	Certificate is generated in your dashboard

Certificate and Recognition

Upon completing all levels, passing all assessments, and getting your final submission approved, you receive a verified internship certificate issued by Vidyawan.

What Makes This Certificate Different
Every level was assessed — not just attended
Final project was independently built and screen-recorded
Submission was reviewed and approved before certification was granted
LinkedIn-published work creates a public, verifiable portfolio presence

Career Benefits and Next Steps

Benefit	Detail
Job-Ready Skills	Python, NumPy, Pandas, EDA, Statistics, Scikit-Learn, Regression, Classification, Clustering, PCA
Portfolio Projects	5 real projects, 2 independently built and published
LinkedIn Presence	Work published publicly — visible to recruiters
Verified Certificate	Shareable on LinkedIn and resume
Roles You Can Target	Data Scientist, Data Analyst, ML Engineer, Research Analyst, Placement-Ready Graduate

Why Our Certification Holds Weight

100% Original Content

No curated links. Every module is custom-built using real Indian operations and platforms such as Zomato, UPI, IRCTC, Flipkart, PhonePe, BookMyShow, Jio, Netflix, and Zerodha. Learners work on practical scenarios that reflect how modern businesses and digital services operate in the real world.

Zero-Setup Native Coding

Write, run, and test your code directly within the Vidyawan platform. No external software, complex installations, or additional tools are required, allowing you to focus entirely on learning and building.

AI-Powered Gatekeeping

Our advanced AI assessment layer evaluates your responses, provides real-time feedback, and verifies your understanding before allowing progression to the next stage. This ensures genuine learning rather than passive completion.

The Mastery Loop

A structured and mandatory learning progression designed to build true competency:

Read → Practice → Apply → Demonstrate

Each stage must be completed successfully before moving forward, ensuring that knowledge is understood, applied, and proven through performance.

Performance Badge System

Students are awarded performance badges based on their quiz scores, task completion, and overall engagement.

🥇 Gold Badge

90%+ score & 4+ projects completed

🥈 Silver Badge

Consistent performance — 70–89%

🥉 Participant Badge

All learners who complete the program

Certificates You Will Receive

Verify Existing →

Upon successful completion you receive a Government-Recognised Certificate from Vidyawan — a registered MSME enterprise (UDYAM-WB-14-0205610), governed under ISO 9001:2015 quality standards.