📊 DATA ANALYTICS COURSE SYLLABUS

🔹 Module 1: Introduction to Data Analytics

• What is Data Analytics
• Types of Data (Structured & Unstructured)
• Data Analytics Life Cycle
• Basics of Statistics

🔹 Module 2: Microsoft Excel for Data Analysis

• Excel Basics & Shortcuts
• Data Cleaning & Formatting
• Formulas & Functions (VLOOKUP, IF, COUNTIF, etc.)
• Pivot Tables & Charts
• Dashboard Creation

🔹 Module 3: SQL (Structured Query Language)

• Introduction to Databases
• SQL Queries (SELECT, WHERE, ORDER BY)
• Joins (INNER, LEFT, RIGHT)
• Aggregate Functions (SUM, AVG, COUNT)
• Subqueries & Views

🔹 Module 4: Python for Data Analytics

• Python Basics (Variables, Data Types, Loops)
• Working with Jupyter Notebook
• Data Handling with Python

🔹 Module 5: NumPy

• Arrays & Operations
• Mathematical Functions
• Indexing & Slicing

🔹 Module 6: Pandas

• DataFrames & Series
• Data Cleaning & Transformation
• Handling Missing Data
• Merging & Grouping Data

🔹 Module 7: Data Visualization

• Matplotlib Basics
• Creating Charts (Bar, Line, Pie, Histogram)
• Customizing Graphs

🔹 Module 8: Power BI

• Introduction to Power BI
• Data Import & Transformation
• Data Modeling
• DAX Basics
• Dashboard & Report Creation

🔹 Module 9: Open AI & Automation

• Introduction to AI Tools
• Using OpenAI for Data Insights
• Automating Reports
• Prompt Engineering Basics

🔹 Module 10: Projects & Assignments

• Real-world Data Analysis Projects
• Excel Dashboard Project
• SQL Database Project
• Python Data Analysis Project
• Power BI Dashboard Project

🎯 Course Outcome

• Strong skills in Excel, SQL, Python
• Ability to analyze and visualize data
• Industry-ready project experience