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1. Foundation Skills: •Strengthen Mathematics: Focus on statistics relevant to data analysis. •Excel Basics: Master fundamental Excel functions and formulas.
2. SQL Proficiency: •Learn SQL Basics: Understand SELECT statements, JOINs, and filtering. •Practice Database Queries: Work with databases to retrieve and manipulate data.
3. Excel Advanced Techniques: •Data Cleaning in Excel: Learn to handle missing data and outliers. •PivotTables and PivotCharts: Master these powerful tools for data summarization.
4. Data Visualization with Excel: •Create Visualizations: Learn to build charts and graphs in Excel. •Dashboard Creation: Understand how to design effective dashboards.
5. Power BI Introduction: •Install and Explore Power BI: Familiarize yourself with the interface. •Import Data: Learn to import and transform data using Power BI.
6. Power BI Data Modeling: •Relationships: Understand and establish relationships between tables. •DAX (Data Analysis Expressions): Learn the basics of DAX for calculations.
7. Advanced Power BI Features: •Advanced Visualizations: Explore complex visualizations in Power BI. •Custom Measures and Columns: Utilize DAX for customized data calculations.
8. Integration of Excel, SQL, and Power BI: •Importing Data from SQL to Power BI: Practice connecting and importing data. •Excel and Power BI Integration: Learn how to use Excel data in Power BI.
9. Business Intelligence Best Practices: •Data Storytelling: Develop skills in presenting insights effectively. •Performance Optimization: Optimize reports and dashboards for efficiency.
10. Build a Portfolio: •Showcase Excel Projects: Highlight your data analysis skills using Excel. •Power BI Projects: Feature Power BI dashboards and reports in your portfolio.
11. Continuous Learning and Certification: •Stay Updated: Keep track of new features in Excel, SQL, and Power BI. •Consider Certifications: Obtain relevant certifications to validate your skills.
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