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Microsoft Power BI Certification : Data Analytics With Power BI, SQL and Excel
About Course
Welcome to the Data Analytics with Power BI, SQL, and Excel course! This comprehensive program is designed to equip you with the essential skills and knowledge needed to excel in the field of data analytics. Whether you’re a beginner or looking to advance your career, this course will guide you through the fundamentals to advanced techniques, ensuring a well-rounded understanding of data analytics tools and methodologies.
Course Overview
In this course, you will Learn:
Absolutely! Integrating SQL and Excel topics into your Data Analytics course with Power BI will provide a well-rounded skill set. Here’s an updated table of contents:
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Introduction to Data Analytics
- What is Data Analytics?
- Importance and Applications
- Overview of Power BI
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Getting Started with Power BI
- Installing Power BI Desktop
- Power BI Interface Overview
- Connecting to Data Sources
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Data Preparation and Transformation
- Importing Data
- Data Cleaning and Shaping
- Using Power Query Editor
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Introduction to SQL
- Basics of SQL
- Writing Simple Queries
- Filtering and Sorting Data
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Intermediate SQL
- Joins and Subqueries
- Aggregations and Grouping
- Advanced SQL Functions
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Creating Basic Visualizations
- Types of Visualizations
- Creating and Customizing Charts
- Using Tables and Matrices
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Intermediate Data Modeling
- Understanding Relationships
- Creating Calculated Columns and Measures
- Using DAX (Data Analysis Expressions)
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Advanced Data Modeling
- Advanced DAX Functions
- Time Intelligence
- Optimizing Data Models
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Excel for Data Analytics
- Data Cleaning and Preparation in Excel
- Using PivotTables and PivotCharts
- Advanced Excel Functions for Analytics
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Interactive Dashboards and Reports
- Designing Interactive Dashboards
- Using Filters, Slicers, and Drill-throughs
- Publishing and Sharing Reports
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Advanced Analytics with Power BI
- Using AI and Machine Learning Features
- Integrating R and Python Scripts
- Advanced Data Visualizations
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Performance Optimization
- Best Practices for Performance
- Troubleshooting and Debugging
- Managing Large Datasets
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Case Studies and Real-World Applications
- Industry-Specific Use Cases
- Hands-on Projects
- Capstone Project
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Conclusion and Next Steps
- Recap of Key Concepts
- Further Learning Resources
- Certification and Career Paths
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Appendices
- Glossary of Terms
- Additional Resources
- FAQs
Course Content
Introduction to Data Analytics
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What is Data Analytics?
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Importance and Applications
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Overview of Power BI
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Jobs in Data Analytics and Career Scope