Data Science Course Syllabus

Module 1: Introduction to Data Science

• Introduction to Data Science
• Understanding Data & Analytics
• Applications of Data Science
• Data Science Lifecycle
• Role of Data Scientist
• Industry Use Cases
• Introduction to Artificial Intelligence & Machine Learning

Module 2: Computer Fundamentals & Programming Basics

• Computer Fundamentals
• Software & Hardware Basics
• Internet & Cloud Basics
• Introduction to Programming Logic
• Algorithm & Flowchart Basics
• Development Environment Setup

Module 3: Python Programming for Data Science

Python Basics

• Introduction to Python
• Variables & Data Types
• Operators & Expressions
• Conditional Statements
• Loops & Functions
• Lists, Tuples & Dictionaries

Advanced Python

• File Handling
• Exception Handling
• Object-Oriented Programming
• Modules & Packages
• Python Libraries
• Working with APIs

Module 4: Mathematics & Statistics for Data Science

• Introduction to Statistics
• Mean, Median & Mode
• Probability Basics
• Standard Deviation
• Data Distribution
• Correlation & Regression
• Linear Algebra Basics
• Statistical Analysis Techniques

Module 5: Data Analysis with Python

NumPy

• Arrays & Operations
• Mathematical Functions
• Matrix Operations

Pandas

• DataFrames & Series
• Data Cleaning
• Data Filtering
• Data Manipulation
• Handling Missing Data
• Data Aggregation

Module 6: Data Visualization

• Introduction to Data Visualization
• Matplotlib Basics
• Seaborn Basics
• Charts & Graphs
• Interactive Dashboards
• Visual Business Reports
• Data Presentation Techniques

Module 7: Database Management & SQL

• Introduction to Databases
• SQL Basics
• CRUD Operations
• Joins & Relationships
• Data Queries
• Database Connectivity with Python
• Data Extraction Techniques

Module 8: Machine Learning Fundamentals

• Introduction to Machine Learning
• Types of Machine Learning
• Supervised Learning
• Unsupervised Learning
• Model Training & Testing
• Regression Algorithms
• Classification Algorithms
• Clustering Techniques

Module 9: Advanced Machine Learning

• Decision Trees
• Random Forest
• K-Nearest Neighbors
• Support Vector Machine
• Naive Bayes
• Model Evaluation Techniques
• Accuracy & Performance Metrics

Module 10: Business Intelligence & Power BI

• Introduction to Power BI
• Data Import & Transformation
• Dashboard Creation
• Business Reports
• Interactive Visualizations
• KPI Analysis
• Data Storytelling

Module 11: Real-World Data Science Projects

• Sales Prediction Project
• Customer Analysis Project
• Business Analytics Dashboard
• Data Visualization Projects
• AI-Based Prediction Systems
• Market Trend Analysis
• E-Commerce Analytics

Module 12: Career Development & Freelancing

• Resume Building
• LinkedIn Optimization
• Interview Preparation
• Portfolio Development
• Freelancing Basics
• Client Handling
• Data Science Career Guidance

Tools & Technologies Covered

• Python
• NumPy
• Pandas
• Matplotlib
• Seaborn
• SQL
• Power BI
• Jupyter Notebook
• Machine Learning Algorithms
• Data Visualization Tools

Career Opportunities After Data Science

• Data Scientist
• Data Analyst
• Machine Learning Engineer
• Business Analyst
• AI Engineer
• Data Visualization Specialist
• BI Developer
• Research Analyst
• Python Developer
• Freelance Data Analyst

Why Choose Worktech?

• ISO 9001:2015 Certified Training
• Government Registered Certification
• 100% Practical Lab Sessions
• Real-World Dataset Projects
• Industry-Level Data Analytics Training
• Professional Portfolio Development
• Experienced Industry Trainers
• Career & Placement Guidance

Enroll Now to Start Your Career in Data Science & AI Industry!

📞 Call: 74680-35555

📍 Location: Jamalpur Chowk, Ludhiana