Objective:
Gain hands-on expertise in data cleaning, processing, visualization, and business insights using Excel, SQL, Python, and BI tools (Power BI/Tableau) with real-world datasets.
Prerequisites:
Basic computer skills, familiarity with Excel (recommended), and a foundation in mathematics/statistics. No prior programming required.
Curriculum
- 16 Sections
- 49 Lessons
- 16 Weeks
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- Week 1: Introduction to Data Analytics5
- Week 2: Excel Basics & Advanced Features4
- Week 3: Advanced Excel for Analytics4
- Week 4: Mini Project 11
- Week 5: SQL Basics4
- Week 6: Intermediate SQL4
- Week 7: Python Foundations4
- Week 8: Python for Analytics5
- Week 9: Power BI Fundamentals4
- Week 10: DAX & Data Modeling4
- Week 11: Azure & Power BI Integration4
- Week 12: Azure PL-300 Certification Prep4
- Week 13: Advanced Analytics with Azure4
- Week 14: Data Governance & Security4
- Week 15: Capstone Project (Choose one)4
- Week 16: Career Preparation4
