Become a Job-Ready Data Scientist (Even If You Start From Zero)
A career-engineering program built for real skills, real projects, and real hiring outcomes.
No fluff. No guessing. Just results.
This program combines structured learning, real-world projects, daily mentorship, IT company internships, and guaranteed placement support.
🔥 WHAT IS THIS PROGRAM?
This isn’t a short tutorial.
This is a career accelerator that trains you in data science, machine learning, and AI from basics to advanced—with mentorship, real projects, internship experience, and placement support.
🚀 Why This Track Hits Different
💸 6-Month Paid Internship
Not just “experience.”
You’ll work on real projects, gain real exposure, and earn ₹30K stipend while doing it.
🧠 Structured Industry Training
No random tutorials.
A clear step-by-step roadmap designed by industry professionals so you actually become job-ready.
📊 Portfolio with Real Data
Forget dummy datasets.
Build real dashboards, real case studies, real projects that recruiters actually care about.
🤝 Mentorship That’s Got Your Back
You’re not figuring this out alone.
Get personal guidance, feedback, and career support from mentors who’ve already done it.
💻 WHAT YOU’LL LEARN
🧠 Module 1: Foundations of Data Science
Build your base the right way.
✔ Python for Data Analysis
✔ SQL for Real-World Databases
✔ Excel & Advanced Data Handling
✔ Data Cleaning & Preprocessing Techniques
📊 Module 2: Data Analysis & Visualization
Turn raw data into smart insights.
✔ Exploratory Data Analysis (EDA)
✔ Data Storytelling & Business Insights
✔ Power BI/Tableau Dashboards
✔ KPI & Reporting Frameworks
🤖 Module 3: Machine Learning & Predictive Modelling
Make data predict the future.
✔ Supervised & Unsupervised Learning
✔ Regression & Classification Models
✔ Model Evaluation & Optimization
✔ Real-World ML Project Deployment
🚀 Module 4: AI & Generative Intelligence
Go beyond basics. Build the future.
✔ Neural Networks & Deep Learning Basics
✔ NLP (Natural Language Processing)
✔ Generative AI (ChatGPT, Prompt Engineering, LLM Basics)
✔ AI Project Case Studies & Applications
🚀 Real-World Projects You Will Build
📊 1️⃣ Customer Churn Prediction
🛒 2️⃣ E-Commerce Sales Dashboard
Build an interactive dashboard to track revenue, customer trends, and product performance.
Skills: Excel, SQL, Power BI/Tableau
Outcome: Portfolio-ready business analytics dashboard.
Develop a machine learning model to predict loan approval risk.
Skills: Python, Data Preprocessing, Classification Models
Outcome: Real-world banking risk prediction system.
🏦 3️⃣ Credit Risk Analysis Model
Analyze historical stock data to identify trends and performance patterns.
Skills: Python, Time-Series Analysis, Data Visualization
Outcome: Financial insights project for your portfolio.
📈 4️⃣ Stock Market Trend Analysis
Social Proof
Apparently hard work + proper guidance = placements. Who would’ve thought? Here’s what our placed students say.
🤖 “I Thought AI Was Too Difficult For Me”
I am a mechanical engineer working in Noida and coding always scared me. But the step-by-step live teaching and mentor support made complex topics understandable. Slowly I started building ML models and small AI projects. The confidence I gained is something I never expected.
🌧️ “From Career Frustration to Hope”
For 4 years I worked in IT support doing repetitive work. Every day felt the same. When I joined this programme, the live projects and portfolio building made me feel excited about learning again. Now I’m transitioning into a data science role and finally see growth ahead.
💡 “Learning AI While Still in College”
I’m a final year engineering student in Nagpur. Most AI courses online felt confusing and too theoretical. The live mentorship and practical projects helped me understand how AI actually works in real business problems.
⭐ Yavhi Khan
⭐ Krishna Raikar
⭐ Kunal Verma
⭐ Manan Mehta
💰 “The Internship Was Life Changing”
The ₹55k WFH internship helped me contribute financially to my family for the first time. It felt amazing to earn through my skills while still learning. That experience also made my resume much stronger.
⭐ Navya Mehta
📊 “Projects Made Me Interview Ready”
The biggest advantage was the real datasets and projects. Instead of just watching videos, we actually built models and dashboards. During interviews I could talk about my work confidently.
🙏 “Mentorship That Felt Personal”
Whenever I felt stuck, mentors guided me patiently. Coming from a non-coding background, I needed that support badly. Without their help I might have quit halfway.
⭐ Tanmay Tope
