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Data Analysis & Business Intelligence
Data Analysis & Business Intelligence
Curriculum
11 Sections
24 Lessons
10 Weeks
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Introduction to Data Analytics
1
1.0
Session 1: Overview of data analytics and its importance.
Module 2: Excel for Data Analysis (Part 1)
2
2.0
Session 2: Excel Basics: Tables, sorting, filtering, and formatting.
2.1
Session 3: Advanced Excel Formulas & Functions.
Module 2: Excel for Data Analysis (Part 2)
2
3.0
Session 4: Pivot Tables: Creation, styles, and slicers.
3.1
Session 5: Dashboards and Data Visualizations in Excel.
Module 3: Introduction to Power BI
4
4.0
Session 6: Power BI Concepts and Interface Overview.
4.1
Session 7: Connecting to Data Sources and Creating Basic Visualizations.
4.2
Session 8: Building and Managing Dashboards.
4.3
Session 9: Publishing and Sharing Reports in Power BI.
Module 4: SQL Basics (Part 1)
2
5.0
Session 10: SQL Syntax, SELECT Statements, and Filtering Data.
5.1
Session 11: Joins and Subqueries in SQL.
Module 4: SQL Basics (Part 2)
2
6.0
Session 12: Nested Queries and Data Aggregation with GROUP BY and HAVING.
6.1
Session 13: SQL Data Analysis Techniques.
Module 5: Python for Data Analysis (Part 1)
2
7.0
Session 14: Python Basics: Variables, Loops, and Conditional Statements.
7.1
Session 15: Introduction to Pandas for Data Manipulation.
Module 5: Python for Data Analysis (Part 2)
2
8.0
Session 16: Data Cleaning: Handling Missing Values, Outliers, and Transformations.
8.1
Session 17: Data Visualizations with Matplotlib and Seaborn.
Module 6: Advanced Power BI
3
9.0
Session 18: DAX Functions and Creating Calculated Columns.
9.1
Session 19: Advanced Visualizations and Slicers in Power BI.
9.2
Session 20: Integrating Power BI with Excel.
Module 7: Advanced SQL Techniques
2
10.0
Session 21: Window Functions and Common Table Expressions (CTEs).
10.1
Session 22: Reporting and Exporting Query Results.
Module 8: Advanced Python Analytics
2
11.0
Session 23: Time-Series Analysis and Regression Models.
11.1
Session 24: Predictive Modelling with Scikit-learn.
Session 10: SQL Syntax, SELECT Statements, and Filtering Data.
Activity:
Write SQL queries to retrieve specific data from a database.
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