Publishes practical learning resources including cheat sheets, 30-50 day study roadmaps, and real interview questions for data analytics roles. Covers SQL window functions, Power BI DAX, Python Pandas, and Excel with code examples and business case studies. Content features step-by-step guides, career tips, and skill-building exercises formatted with emojis for beginners transitioning into data roles.
High-quality educational content with structured roadmaps, practical code examples, and interview-focused material, though occasionally includes promotional links.
Aspiring data analysts, career switchers, and entry-level professionals aged 20-35 preparing for technical interviews in business intelligence and analytics roles.
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๐ง SQL Interview Question (Category Contribution % - Tricky) ๐ sales(category, product_id, revenue) โ Ques : ๐ For each category, calculate percentage contribution of each productโs revenue withiโฆ
โ Power BI Scenario-Based Questions ๐โก ๐งฎ Scenario 1: Measure vs. Calculated Column Question: You need to create a new column to categorize sales as โHighโ or โLowโ based on a threshold. Would you uโฆ
Complete step-by-step syllabus of #Excel for Data Analytics Introduction to Excel for Data Analytics: Overview of Excel's capabilities for data analysis Introduction to Excel's interface: ribbons, wโฆ
โ Data Analyst Mistakes Beginners Should Avoid โ ๏ธ๐ 1๏ธโฃ Ignoring Data Cleaning โข Jumping to charts too soon โข Overlooking missing or incorrect data โ Clean before you analyze โ always 2๏ธโฃ Not Prโฆ
Pandas cheat sheet Use the following Pandas cheat sheet to quickly reference some of the most common operations you might perform with the Pandas library. More: https://www.coursera.org/resources/paโฆ