Module 1: Excel & Data Analytics Fundamentals
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- Introduction to Data Analytics & Business Intelligence
- Microsoft Excel Fundamentals — Interface, Shortcuts & Formulas
- Data Cleaning, Sorting, Filtering & Validation
- Advanced Excel Functions — VLOOKUP, INDEX-MATCH, IF, SUMIFS
- Pivot Tables, Charts & Dashboards
- Data Analysis ToolPak & What-If Analysis
- Excel Automation using Macros & VBA Basics
- Data Import from CSV, SQL, and Web
- Conditional Formatting & Dynamic Reports
- Business Case Studies using Excel
- Excel BI Integration with Power Query
- Mini Project: Interactive Excel Sales Dashboard
Module 2: SQL for Data Analytics
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- Introduction to Databases & SQL Basics
- SELECT, WHERE, ORDER BY, and DISTINCT Clauses
- Aggregate Functions (SUM, COUNT, AVG, MIN, MAX)
- GROUP BY, HAVING & Subqueries
- Joins — INNER, LEFT, RIGHT, FULL & CROSS
- CASE, COALESCE, and String Functions
- Data Cleaning with SQL — Handling NULLs, Duplicates, Outliers
- Data Modeling Concepts & ER Diagrams
- Views, Stored Procedures, and CTEs
- Window Functions & Ranking
- SQL Optimization & Indexing Basics
- Connecting SQL with Power BI / Tableau
- Mini Project: SQL Sales Insights Dashboard
Module 3: Python for Data Analytics
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- Python Setup — Jupyter, Anaconda, and Libraries Overview
- Python Syntax, Variables, Data Types & Functions
- Data Structures — List, Dictionary, Tuple, Set
- File Handling (CSV, Excel, JSON)
- Lambda Functions, List Comprehensions & Loops
- Data Analysis with NumPy & Pandas
- Exploratory Data Analysis (EDA)
- Data Cleaning & Transformation in Pandas
- Visualization with Matplotlib & Seaborn
- Data Export to Excel, SQL, Power BI
- Basic Statistics — Mean, Median, Mode, Correlation
- Mini Project: Python Data Cleaning & Visualization
Module 4: Power BI for Business Intelligence
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- Introduction to Power BI Desktop & Interface
- Connecting Power BI to Excel, SQL & Web Data Sources
- Data Transformation using Power Query Editor
- Data Modeling — Relationships & Hierarchies
- DAX Functions — Calculated Columns & Measures
- Designing Interactive Dashboards
- Custom Visuals, KPIs & Drill-through Reports
- Publishing Reports to Power BI Service
- Power BI Gateway, Data Refresh & Sharing
- Row-Level Security (RLS)
- Power BI Integration with Excel & Teams
- Mini Project: End-to-End Power BI Sales Dashboard
Module 5: Tableau for Data Visualization
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- Introduction to Tableau & Data Visualization Concepts
- Connecting Tableau to Excel, SQL & Web Data
- Understanding Dimensions, Measures & Aggregations
- Charts — Bar, Line, Map, Scatter, TreeMap, Heatmap
- Calculated Fields & Parameters
- Filters, Sets, and Groups in Tableau
- Building Interactive Dashboards
- Storytelling with Tableau
- Dashboard Actions & Interactivity
- Publishing & Tableau Public / Server
- Tableau vs Power BI — Comparative Analysis
- Mini Project: HR Analytics Dashboard using Tableau
Module 6: Data Science Libraries Overview
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- Overview of Data Science Workflow
- NumPy, Pandas, Matplotlib, and Seaborn — Refresher
- Scikit-Learn Basics — Regression, Classification
- Feature Engineering & Data Preparation
- EDA with Python & Power BI Combined
- Intro to Machine Learning Models for Analytics
- Mini Project: Predictive Analysis using Python & Power BI
- Correlation, Hypothesis Testing, and A/B Testing
- Business Use Cases of ML in BI Dashboards
- Integration of Python Scripts in Power BI
- Creating Automated Reports using Python & Excel
- Mini Project: Data Insights Automation
Module 7: Capstone Projects & Career Preparation
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- End-to-End Project: Sales & Marketing Dashboard
- Finance & Revenue Analytics Project
- HR Attrition Prediction & Visualization
- Retail Performance Insights using SQL + Power BI
- Tableau Storytelling Dashboard
- Data Reporting Automation with Python
- Git & GitHub for Analysts
- Resume Building & Portfolio Projects
- Mock Interviews & Technical Assessments
- Freelancing & Real Client Data Projects
- Career Guidance & Placement Assistance
