Data Analytics With Python

Program Overview

Program Name	Data Analytics With Python
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

Turn raw data into real insights. This 30-day internship takes you from Python basics to building end-to-end analytics pipelines — the exact workflow used by data analysts at top companies. Every level is structured, every project is real, and every skill you build is directly hireable.

Who Is This For

Profile	Details
Students	BCA, B.Tech, BSc (CS/IT/Maths), MCA, MBA
Working Professionals	Freshers or early-career switching to analytics
Prerequisites	Basic computer knowledge. No prior Python required
Goal	Job-ready data analytics skills with a portfolio project

What You Will Learn

Skill Area	What You Will Be Able to Do
Python for Data	Use Python as a data tool, not just a coding language
Data Cleaning	Handle messy real-world datasets professionally
Exploratory Analysis	Ask the right questions and find patterns in data
Visualization	Build dashboards and charts using Matplotlib and Seaborn
Statistics	Apply statistics that actually matter in analytics work
Reporting	Automate reports and present insights like an analyst
End-to-End Pipeline	Take raw data all the way to a portfolio-ready deliverable

Program Structure at a Glance

Parameter	Detail
Duration	30 Days
Total Levels	8 Levels
Total Projects	5 Hands-On Projects
AI Mentor	Vidya AI — Active Across All Interactive Zones
Learning Format	Expert-Designed Videos + Interactive Zones
Final Tasks	5 Tasks — Complete Any 2
Compiler 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 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	Python as a data tool, not a coding language
1.2	Data types in the real world — not theory
1.3	Control flow — making decisions with data

Level 2 — First Blood (Days 4–5)

Module	Topic
2.1	NumPy — crunching numbers at scale
2.2	Pandas basics — your first real dataset
2.3	Importing, exporting and reading dirty data

Project 1 unlocks here — Sales Data Cleaner

Level 3 — Grinding Zone (Days 5–7)

Module	Topic
3.1	Data cleaning — the unglamorous truth
3.2	Grouping, filtering and aggregation
3.3	Merging and joining datasets like a pro

Level 4 — Skill Unlock (Days 7–9)

Module	Topic
4.1	EDA — reading what data is trying to say
4.2	Patterns, outliers and anomalies
4.3	Feature understanding before visualization

Project 2 unlocks here — Customer Behavior EDA

Level 5 — Power User (Days 9–11)

Module	Topic
5.1	Matplotlib — telling stories with plots
5.2	Seaborn — beautiful visuals from messy data
5.3	Building a dashboard from scratch

Project 3 unlocks here — Retail Dashboard (Built live inside module)

Level 6 — Boss Arena (Days 11–12)

Module	Topic
6.1	Statistics that actually matter in analytics
6.2	Correlation, distribution and hypothesis in real usage
6.3	Analyst thinking — from question to insight

Level 7 — Elite Tier (Days 12–13)

Module	Topic
7.1	Building an analytics pipeline end-to-end
7.2	Automating reports with Python
7.3	Business KPI design and measurement

Project 4 unlocks here — Business KPI Report

Level 8 — Final Boss (Days 13–15)

Module	Topic
8.1	Industry simulation — real brief, real data
8.2	Presenting insights like an analyst, not a student
8.3	Portfolio-ready delivery and review

Project 5 unlocks here — End-to-End Analytics Pipeline

Hands-On Projects and What You Will Build

Project	Unlocks After	What You Build
Project 1 — Sales Data Cleaner	Level 2	Clean a messy sales dataset — fix nulls, data types, duplicates, standardize columns. Deliver an analysis-ready DataFrame
Project 2 — Customer Behavior EDA	Level 4	Raw customer transaction data — find patterns, spot outliers, answer 5 business questions using pure analysis thinking
Project 3 — Retail Dashboard	Level 5	Full visual dashboard — sales trends, top products, regional performance using Matplotlib and Seaborn. Built live inside the module
Project 4 — Business KPI Report	Level 7	Define 5 KPIs, calculate from raw data, automate report output, present insights like an analyst
Project 5 — Analytics Pipeline	Level 8	Raw data to clean to analyze to visualize to insights — full industry-grade cycle, no guidance, portfolio-ready notebook

Assessment and Progression Rules

Rule	Detail
Gate Type	MCQ assessment at the end of every level
Gate Score	Must pass to unlock 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	You cannot skip levels or access future content early

AI Mentor — Vidya AI

Vidya AI is active across every interactive zone throughout the internship.

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 by our team before certification
LinkedIn-published work creates a public, verifiable portfolio presence

Career Benefits and Next Steps

Benefit	Detail
Job-Ready Skills	Python, Pandas, NumPy, Matplotlib, Seaborn, EDA, KPI reporting
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 Analyst, Business Analyst, MIS Executive, Reporting Analyst

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.