✅ 100% Job Assurance & Placement Support

Become a Professional Data Science Expert

Master Python, Pandas, Data Visualization, Machine Learning, AI, and Data Science. Work on real-world datasets and get career-focused training designed for beginners and working professionals.

Industry Ready

Python & ML

Real Projects

AI & Data Science

Placement

Full Assistance

Certification

Industry Approved

Data Science
Data Science Mastery Program

Why Learn Data Science?

Data Science is one of the fastest-growing fields, helping organizations make data-driven decisions, build predictive models, and leverage AI for real-world impact.

High Demand

Data scientists are among the most sought-after professionals globally.

AI & ML Opportunities

Work on Artificial Intelligence, Machine Learning, and predictive analytics projects.

SQL Database Analytics

Analyze large datasets to extract actionable insights for businesses.

Career Growth

High-paying roles in analytics, AI, and data engineering await skilled professionals.

Course Highlights

Learn Data Science from basics to advanced, with hands-on projects and real-world datasets.

Live Instructor-Led Training

Interactive Python, R, and ML classes with real-time coding and doubt solving.

Real-World Projects

Work on datasets, predictive models, visualization dashboards, and AI projects.

Placement & Interview Prep

Resume support, mock interviews, and placement guidance for Data Science roles.

Small Batch Size

Get personal attention and better interaction with instructors.

Offline Classroom Training

Fully offline learning experience with in-person guidance and practical sessions.

24×7 LMS Access

Lifetime access to notes, datasets, code files, quizzes, and assignments.

What You Will Learn

Comprehensive modules designed to take you from beginner to industry-ready Data Scientist.

  • Introduction to Artificial Intelligence & Data Science
  • Evolution of AI: Traditional AI → ML → Deep Learning → Generative AI
  • What is Generative AI?
  • Types of Generative Models (Text, Image, Audio)
  • Introduction to Large Language Models (LLMs)
  • Prompt Engineering Basics
  • Limitations, Bias & Ethical Considerations
  • Introduction to Agentic AI
  • Difference between Generative AI & Agentic AI
  • Real-world Use Cases of AI Agents
  • What is Data Science?
  • Data Science Lifecycle & Applications
  • Roles of a Data Scientist
  • Introduction to Python & R
  • Setting up Jupyter Notebook
  • Data Types & Basic Operations
  • Overview of Libraries: NumPy, Pandas, Matplotlib
  • Introduction to Large Language Models (LLMs)
  • Transformer Architecture (Conceptual Overview)
  • Tokenization & Embeddings
  • Pre-training vs Fine-tuning
  • Prompt Engineering Fundamentals
  • Types of Prompts: Zero-shot, One-shot, Few-shot
  • Prompt Optimization Techniques
  • Handling Hallucinations & Model Limitations
  • Responsible Use of LLMs
  • Hands-on: Writing Effective Prompts
  • Overview of Generative AI Model Types
  • Text Generation Models (GPT-style Models)
  • Image Generation Models (Diffusion Models)
  • Audio & Video Generation (Conceptual Overview)
  • Open-source vs Proprietary AI Models
  • Introduction to Hugging Face Ecosystem
  • Use Cases of Generative AI in Industry
  • Ethical Issues & Bias in Generative Models
  • Evaluation of Generative Outputs
  • Hands-on: Exploring Pre-trained Generative Models
  • What is Agentic AI?
  • Difference between Generative AI and Agentic AI
  • Characteristics of Intelligent Agents
  • Agent Lifecycle: Perception → Reasoning → Action
  • Components of an AI Agent (Memory, Planning, Tools)
  • Single-Agent vs Multi-Agent Systems
  • Autonomous Agents vs Assistive Agents
  • Introduction to Agent Architectures
  • Real-world Examples of Agentic AI
  • Case Study: AI Assistants & Task Automation
Download Full Curriculum

Tools & Technologies

Python
Jupiter
SQL
Numpy
Tableau
Power BI
Matplotlib
Pandas
TensorFlow

Industry-Relevant Projects You'll Build

Hands-on Data Science projects to boost your portfolio and job readiness.

Get certified by TECHGEN

Gain a competitive edge in today’s fast-evolving tech landscape with a TECHGEN Certification. Our industry-recognized programs are designed to equip you with practical skills, real-world knowledge, and hands-on experience that employers actually look for.

At TECHGEN, learning goes beyond theory. You’ll work on live projects, real case studies, and industry-relevant tools guided by experienced professionals. Every certification is crafted to meet current market demands—helping you stay job-ready from day one.

Get Certified. Get Skilled. Get Ahead — with TECHGEN.
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Testimonials

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Get full syllabus, schedule and fees.

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Our Alumni's Employment Destinations

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Frequently Asked Questions

No. We start from basics such as Python, data manipulation, and gradually move to advanced topics like machine learning and AI.
You will learn Python, Pandas, NumPy, Matplotlib, Seaborn, SQL, Tableau, and key Machine Learning libraries like scikit-learn.
Yes. You will work on projects like sales prediction, customer segmentation, sentiment analysis, and churn prediction.
Yes. The course includes resume building, mock interviews, career guidance, and job referrals.
Yes. You will receive an industry-recognized Data Science certificate upon successful completion.
Enroll for Data Science Course — Limited Seats