Advance Data Analytics Mastery
Comprehensive Course Syllabus (Excel, SQL, Power BI, Python)
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1. Introduction to Data Analytics▼
- Business Objectives & Classification of Data
- Industry Relevance & Analytics Methodology
- Case Studies: How Leading Companies Use Data
- Analytics Tools & Problem-Solving Framework
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2. Advanced Excel for Data Science▼
- VLOOKUP, XLOOKUP, MATCH, INDEX (Dynamic)
- Pivot Tables, Slicers & Pivot Charts
- 60+ Advanced Functions (Financial, Logical, Text)
- What-If Analysis (Goal Seek, Scenario Manager)
- Data Validation, Sorting & Advanced Filtering
- AI Tools in Excel & Automation Basics
- Final Practical Assignment & Assessments
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3. SQL Server (Database Management)▼
- SQL Architecture & SSMS Configuration
- T-SQL: Insert, Update, Delete & Complex Select
- Primary Key, Composite Key & Constraints
- Indexing, Query Tuning & Joins in Views
- Stored Procedures & Dynamic SQL
- Triggers, Cursors & Transactions (ACID)
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4. Power BI (Data Visualization)▼
- Data Connectivity (SQL, Excel, CSV Integration)
- DAX Functions, Measures & Calculated Columns
- Power Query: Append, Merge & Unpivot
- Data Modelling: Star Schema & Cardinality
- Advanced Visuals: KPIs, Maps, Gauges & Slicers
- Publishing, Sharing & Row-Level Security
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5. Python Programming for Analytics▼
- Basics: Variables, Operators & Control Flow
- Functions, Lambda, Modules & Packages
- Lists, Tuples, Dictionaries & Comprehensions
- Exception Handling & File Handling
- Managing Workbooks & SQL Connections
- OS Module & Directory Management
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6. Libraries & Visualization▼
- Pandas: Data Cleaning & Manipulation
- NumPy: Numerical Calculations & Arrays
- Matplotlib & Seaborn: Customizing Charts
- Statistical Analysis & Insights Generation
- Final Capstone Project & Project Work
