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Professional Data Science Course — Pune

4 months • Hybrid (Weekend & Weekday) • Hands-on projects • Placement assistance

Download Syllabus

Syllabus curated from top programs: programming, statistics, ML, deep learning, big data, MLOps and domain projects.

💼 Placement Support
🧑‍🏫 Industry Mentors
📁 Real Projects
Data Science Training

Course Overview

A practical, mentor-led program with real-world projects, career support and interview prep. Designed for beginners and working professionals.

  • Duration: 4 months (Weekend / Weekday)
  • Mode: Hybrid (In-person Pune + Online)
  • Fee: ₹35,000 (Weekend) • ₹45,000 (Weekday)
  • Placements: Resume prep, mock interviews, hiring partner referrals

Tools & Technologies Covered

Python ecosystem + ML frameworks + data tools (industry-standard tools taught across top courses).

  • Python (Pandas, NumPy, Matplotlib, Seaborn)
  • SQL & NoSQL basics
  • Scikit-learn, TensorFlow & PyTorch
  • Docker, Flask for deployment
  • Tableau / Power BI for dashboards
  • Hadoop / Spark (overview)

Syllabus — Module Wise (4 months)

Comprehensive curriculum covering fundamentals to advanced topics with hands-on projects

Module 1 — Foundations & Python

  • Python programming basics, functions, OOP
  • Jupyter, virtual environments, Git basics
  • Data wrangling with Pandas & NumPy
  • Exploratory Data Analysis & visualization (Matplotlib/Seaborn)

Module 2 — Statistics & SQL

  • Descriptive statistics, probability, hypothesis testing
  • Linear algebra refresher (vectors, matrices)
  • SQL for analysts, joins, aggregations

Module 3 — Machine Learning

  • Regression, classification, evaluation metrics
  • Decision trees, ensemble methods, hyperparameter tuning
  • Clustering & unsupervised learning

Module 4 — Deep Learning, Deployment & MLOps

  • Neural networks, CNNs, RNNs (intro)
  • Model deployment (Flask, Docker) & basics of MLOps
  • Capstone project & portfolio guidance

Portfolio Projects

Each student completes 3+ portfolio projects to showcase skills to employers

Sales Forecasting

Time Series + Regression analysis for business forecasting

Customer Segmentation

Clustering & RFM analysis for marketing optimization

Sentiment Analysis Dashboard

NLP + Visualization for customer feedback analysis

Trainers & Mentorship

Industry mentors with 5–12+ years experience. Sessions include live labs, code reviews and career mentorship.

Lead Instructor

Senior Data Scientist — 10+ years, ML pipelines

AI Specialist

Deep Learning and NLP expert

Industry Mentor

Real-world project supervisors and hiring liaisons

Placement Assistance

We help with interview prep, resume building and direct referrals to hiring partners

Placement Rate

78%

Active placement support until students get placed

Average Salary

₹6 – 15 LPA

Data Analyst / ML Engineer roles

Support Services

  • Resume review & LinkedIn optimization
  • Mock technical & HR interviews
  • Company referrals & placement drives

Student Reviews

★★★★★

"Placed in 3 months — practical projects helped me stand out in interviews."

— Priya, Data Analyst

★★★★★

"Excellent mentorship and career guidance. The instructors are industry experts."

— Rohan, ML Engineer

★★★★★

"The course structure is perfect for working professionals. Flexible and practical."

— Ankit, Data Scientist

Frequently Asked Questions

What are the eligibility requirements?
Open to graduates & working professionals. Basic math + programming helps but we cover fundamentals from scratch.
Is there a certificate?
Yes — certificate on successful completion & project submission.
How are classes delivered?
Live instructor-led sessions (online/in-person), recorded lectures and hands-on labs.
Do you offer EMI options?
Yes, we offer flexible EMI options for all our courses through our financing partners.

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