📢 Enroll in Our Data Analytics Course & Kickstart Your Career! 🚀
Are you ready to step into the world of Data Analytics? Our comprehensive Data Analytics Course is designed for beginners and freshers who want to build a strong foundation in Excel, SQL, Python, and Power BI—the most in-demand tools in the industry!
Data Analytics Syllabus
📌 Module 1: Introduction to Data Analytics
- What is Data Analytics?
- Types of Data Analytics (Descriptive, Diagnostic, Predictive, Prescriptive)
- Role of a Data Analyst
- Overview of Tools: Python, SQL, Excel, Power BI
📌 Module 2: Excel for Data Analytics
🔹 Basic Excel Functions & Formatting
- Data Entry & Formatting
- Basic Formulas & Functions (SUM, AVERAGE, IF, VLOOKUP, HLOOKUP)
- Conditional Formatting
- Data Sorting & Filtering
- Pivot Tables & Pivot Charts
- Charts & Graphs (Bar, Line, Pie, Scatter)
- Data Validation
- Power Query
- Macros & VBA (Basics)
📌 Module 3: SQL for Data Analytics
🔹 Introduction to Databases & SQL
- What is SQL?
- Relational Databases & Tables
- Basic SQL Commands (SELECT, FROM, WHERE)
- Sorting & Filtering Data (ORDER BY, GROUP BY, HAVING)
- Joins (INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN) Subqueries & CTEs
- Aggregate Functions (COUNT, SUM, AVG, MIN, MAX)
- String & Date Functions
- Window Functions (ROW_NUMBER, RANK, DENSE_RANK)
- Stored Procedures & Views
- Indexing & Performance Optimization
📌 Module 4: Python for Data Analytics
🔹 Introduction to Python
- Installation & Setup (Jupyter Notebook, Anaconda)
- Python Basics (Variables, Data Types, Loops, Functions)
- Loading Data (CSV, Excel, SQL)
- Data Cleaning & Manipulation
- Handling Missing Values
- Data Aggregation & Grouping
- Line, Bar, Pie, Scatter Plots
- Heatmaps & Histograms
- Customization & Styling
- Identifying Patterns & Trends
- Statistical Analysis (Mean, Median, Standard Deviation)
- Correlation & Outlier Detection
📌 Module 5: Power BI for Data Analytics
🔹 Getting Started with Power BI
- Installing Power BI
- Understanding Power BI Interface
- Connecting to Different Data Sources (Excel, SQL, Web)
- Power Query for Data Cleaning
- Creating Interactive Reports
- Using Charts & Graphs (Bar, Line, Pie, Maps)
- Slicers & Filters
- Measures & Calculated Columns
- Common DAX Functions (SUMX, CALCULATE, FILTER)
- Power BI Service Overview
- Sharing & Collaboration
📌 Module 6: Capstone Project
- End-to-End Data Analysis Project
- Data Cleaning, Analysis & Visualization
- Generating Insights & Business Recommendations
🎯 Why Join Us?
✅ No previous experience required – Beginner-friendly course
✅ 100% practical learning
✅ Learn from industry experts trainer
✅ Certification upon course completion
✅ 100% Placement
📅 Seats Available! Don’t miss this chance to become a Data Analyst.
