Ogunleke Samson Abidemi

Islam is clear on what’s permissible and those that are forbidden And this applies to what we consume, take as business and our sources of livelihood The scholars of the deen have written extensively on this subject and I advise us to read their texts In freelancing and internet marketing, there are red lines and boundaries we must not cross as Muslims. Our sustenance has been written some years before our creation Pray to Allah to grant you Halal sustenance Be consistent on اللَّهُمَّ اكْفِنِي بِحَلاَلِكَ عَنْ حَرَامِكَ وَأَغْنِنِي بِفَضْلِكَ عَمَّنْ سِوَاكَ

Roadmap to becoming a data analyst 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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