Next-Generation Data Science & Generative AI Certification Program

Master Python, Data Analysis, Machine Learning & AI with Real-Time Projects

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Course Overview

Data Science is one of the fastest-growing career fields in the IT industry. The Data Science Course at MasterCode Infotech is designed to help students learn Python, Machine Learning, SQL, Data Analysis, and Generative AI using real-world datasets and practical projects. This industry-oriented training program focuses on building strong analytical skills, creating predictive models, and developing data-driven solutions for real business problems. With hands-on training, expert guidance, and project-based learning, students can become job-ready Data Science professionals and explore career opportunities such as Data Scientist, Machine Learning Engineer, and AI Specialist.

Course Highlights

Industry Based Training

Learn real-world data analytics skills used by companies.

100% Practical Learning

Hands-on training with datasets and real examples.

Live Projects

Work on real-time projects and case studies.

Expert Trainers

Learn from experienced data professionals.

Certification

Get a recognized course completion certificate.

Placement Assistance

Resume building and interview preparation support.

Course Syllabus

  • Defining Data
  • Data Lifecycle
  • What is Data Science
  • DS vs ML vs DL vs AI
  • Data Science life Cycle
  • Data Science process
  • Data Science and its role in decision making and problem solving
  • Real world Applications of Data Science
  • Branches of Data Science
  • Job profiles in Data Science
  • Tools for Data Science
  • Skills for Data Science

  • Introduction to Jupyter Notebook , and other IDEs
  • Writing and running your first Python program.
  • Keywords and Identifiers in python
  • Comments and Statements in Python
  • Variables in Python
  • Data Types & Type Conversion
  • Operators in Python
  • String Operations
  • Python Data Structures
  • Python Flow Control & Loops
  • Packages and Functions in Python
  • OOPs in Python
  • Pandas
  • Numpy
  • Sklearn
  • Mat-Plot Library

  • Introduction to Databases
  • Installation & Environment Setup
  • Database Design Basics
  • SQL Data Definition Language (DDL)
  • SQL Data Manipulation Language (DML)
  • Basic SQL Queries
  • Advanced Filtering
  • SQL Functions
  • Grouping & Aggregation
  • SQL Joins
  • Subqueries
  • Set Operations
  • Views
  • Indexes
  • Stored Procedures
  • Triggers
  • Transactions
  • Window Functions
  • Common Table Expressions (CTE)
  • SQL for Data Analytics
  • Performance Optimization
  • Real-Time SQL Projects

  • Introduction to Power BI
  • Data Sources & Data Import
  • Power Query (Data Transformation)
  • Data Modeling
  • DAX Basics
  • Data Visualization
  • Advanced Visualizations
  • Dashboard Creation
  • Power BI Service
  • Power BI Project

  • Introduction to Excel
  • Excel Basic Functions
  • Data Cleaning Techniques
  • Data Sorting & Filtering
  • Logical & Text Functions
  • Lookup & Reference Function
  • Data Validation
  • Conditional Formatting
  • Pivot Tables
  • Data Visualization
  • Excel Dashboards
  • Excel for Data Analysis Project

  • Fundamentals of Mathematics
  • Arithmetic and Algebra
  • Sets and Functions
  • Fundamentals of Probability
  • Descriptive Statistics
  • Linear Algebra
  • Calculus
  • Inferential Statistics
  • Regression Analysis

  • Introduction to Machine Learning
  • Supervised vs Unsupervised Learning
  • Training & Testing Data
  • Model Evaluation Techniques
  • Linear Regression
  • Logistic Regression
  • Decision Trees
  • Random Forest
  • K-Nearest Neighbors (KNN)
  • K-Means Clustering

  • Fundamentals of Deep Learning
  • Introduction To Neural Networks And ANN
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs) and Sequence Models
  • Object Detection & Image Segmentation
  • Gesture Recognition
  • Generative Adversarial Networks (GANs)
  • Reinforcement Learning in Deep Learning

  • Introduction to NLP
  • Text Processing Techniques
  • Tokenization
  • Stop Words Removal
  • Stemming & Lemmatization
  • Sentiment Analysis
  • Text Classification
  • Named Entity Recognition
  • Chatbots Basics

  • What is Generative AI
  • Applications of Generative AI
  • Generative AI vs Machine Learning
  • Introduction to LLMs
  • Prompt Engineering
  • Working with AI Models
  • AI for Data Analysis
  • AI for Content Generation
  • AI Automation Tools

Course Overview

  • 📅 New Batch After Every 10 Days
  • ⏱ Course Duration – 7 to 8 Months
  • 💻 Modes of Training – Online / Offline
  • 📊 Projects – Available
  • 👨‍🏫 Personal Mentoring
    • Enroll Now

Who Can Join This Course

  • 🎓 BCA / BSc / BCom / BE Any Graduates Students
  • 👩‍🎓 Fresh Graduates
  • 💼 Working Professionals
  • 📊 Career Gap
  • 🚀 Anyone Interested in Changing Their Life
    • Join Now

Why Choose Mastercode Infotech for Data Science & Generative AI

Mastercode Infotech provides career-focused training in Data Science and Generative AI, combining theoretical knowledge with hands-on practical experience in Python, Machine Learning, Deep Learning, and modern AI technologies, helping students build successful careers in the rapidly growing AI and data industry.

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Comprehensive Curriculum

Learn data preprocessing, visualization tools, predictive analytics, and modern data analysis techniques.

💻
Hands-On Learning

Work on real-time projects, datasets, and case studies for practical industry exposure.

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Affordable Fees

Flexible payment options with affordable course fees and EMI facilities.

🎯
Career Support

Resume building, mock interviews, and placement assistance.

👨‍🏫
Expert Trainers

Learn from experienced trainers with strong industry knowledge.

📊
Industry Ready Training

Develop job-ready skills with real-world tools and business case studies.