3. DAX Functions Basics - Teknowgrade

Business Analytics 3. DAX Functions Basics

Business Analytics

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Course Content

📘 Module 1: Introduction to Business Analytics

1. What is Business Analytics?

2. Importance in Modern Business

3. Types of Business Analytics (Descriptive, Diagnostic, Predictive, Prescriptive)

4. Real-World Examples

5. Tools Overview: Excel, SQL, Power BI, Python

📊 Module 2: Excel for Business Analytics

1. Data Cleaning and Formatting

2. Formulas: IF, VLOOKUP, INDEX/MATCH

3. Pivot Tables & Pivot Charts

4. Conditional Formatting & Sorting

5. Case Study: Sales Performance Analysis in Excel

🗃️ Module 3: SQL for Business Data

1. Introduction to Databases

2. SELECT, WHERE, GROUP BY, ORDER BY

3. JOINs (Inner, Left, Right)

4. Aggregation & Filtering

4. SQL Queries for Business Scenarios (sales, inventory, customer)

📉 Module 4: Descriptive & Diagnostic Analytics

1. Measures of Central Tendency (Mean, Median, Mode)

2. Variance, Standard Deviation

3. Trend Analysis

4. Root Cause Analysis with Visuals

5. KPI Identification for Business Teams

📊 Module 5: Data Visualization with Power BI

1. Importing and Transforming Data

2. Building Dashboards & Charts

3. DAX Functions Basics

4. Creating Interactive Reports

5. Real-World Dashboard: Sales & Profit Summary

🔮 Module 6: Introduction to Predictive Analytics

1. What is Predictive Modeling?

2. Correlation vs. Causation

3. Regression Analysis (Linear & Multiple)

4. Time Series Forecasting (Basic)

5. Scenario Planning

🐍 Module 7: Basics of Python for Analytics (Optional)

1. Why Python for Business Analytics?

2. DataFrames using Pandas

3. Data Cleaning with Python

4. Basic Charts using Matplotlib/Seaborn

5. Mini Project: Customer Retention Model

📝 Module 8: Business Case Studies & Capstone Project

1. Case Study 1: Retail Sales Analysis

2. Case Study 2: Customer Churn Prediction

3. Capstone Project: Analyze a business dataset and present a report

4. Final Assessment & Certification

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