शून्य से शिखर तक: डेटा एनालिस्ट बनने की कहानी!

Blog post description.

#TECH#AI#COURSE#EDUCATION

7/7/20251 min read

🟢 Stage 1: Excel (Foundational Analytics & Reporting)

Topics to Cover:

  1. · • Excel Basics: UI, formatting, formulas

  2. · • Data Cleaning & Sorting

  3. · • Lookup Functions: VLOOKUP, HLOOKUP, INDEX-MATCH

  4. · • Logical Functions: IF, IFS, AND, OR

  5. · • Pivot Tables & Pivot Charts

  6. · • Conditional Formatting

  7. · • Data Validation, Drop-downs

  8. · • Named Ranges

  9. · • Charts (Bar, Line, Pie, Combo)

  10. · • Introduction to Excel Dashboards

📚 Learning Resources:

  1. · • ExcelIsFun (YouTube):

  2. · • Microsoft Excel Learn Portal

  3. · • Coursera: Excel Skills for Business by Macquarie University

🛠️ Practice:

  1. · • Clean and analyze mock sales data

  2. · • Create simple dashboards

  3. · • Recreate visuals from sample datasets

🔵 Stage 2: SQL (Core of Data Extraction)

Topics to Cover:

  1. · • SQL Basics: SELECT, WHERE, ORDER BY, LIMIT

  2. · • Filtering and Aliasing

  3. · • Aggregate Functions: COUNT, SUM, AVG, GROUP BY, HAVING

  4. · • Joins: INNER, LEFT, RIGHT, FULL

  5. · • Subqueries and CTEs

  6. · • Window Functions (ROW_NUMBER, RANK, PARTITION BY)

  7. · • Working with Date/Time

  8. · • Basic Data Cleaning via SQL

📚 Learning Resources:

  1. · • Mode Analytics SQL Tutorial: https://mode.com/sql-tutorial/

  2. · • W3Schools SQL: https://www.w3schools.com/sql/

  3. · • LeetCode (SQL section)

  4. · • StrataScratch for real-world SQL challenges

🛠️ Practice:

  1. · • Download mock databases (e.g., Chinook, Northwind)

  2. · • Write queries to analyze sales, products, customers, etc.

  3. · • Use SQLite, MySQL, or DB Fiddle (https://www.db-fiddle.com/)

🟣 Stage 3: Power BI (Data Visualization & BI Reporting)

Topics to Cover:

  1. · • Power BI Basics: Interface, Data Loading

  2. · • Data Modeling: Relationships, Star Schema

  3. · • DAX Basics: SUM, CALCULATE, FILTER, ALL, IF, SWITCH

  4. · • Creating Measures and Calculated Columns

  5. · • Visualizations: Bar, Line, Matrix, Card, Map, KPI, etc.

  6. · • Slicers, Drillthrough, Tooltips

  7. · • Creating and Publishing Dashboards

  8. · • Power BI Service: Sharing, Workspaces

📚 Learning Resources:

  1. · • Microsoft Learn Power BI: https://learn.microsoft.com/en-us/training/powerplatform/power-bi/

  2. · • YouTube: Guy in a Cube, Pragmatic Works

  3. · • Udemy: Power BI A-Z

🛠️ Practice:

  1. · • Connect Power BI to Excel/SQL

  2. · • Recreate sample dashboards from Kaggle or Power BI gallery

  3. · • Publish dashboards to Power BI Service

🧠 Capstone Projects & Portfolio (Optional but Recommended)

Topics to Cover:

  1. · • Sales Dashboard (Excel + Power BI)

  2. · • Customer Segmentation (SQL + Power BI)

  3. · • E-commerce or COVID analysis (Public datasets)

  4. · • Personal finance tracker

📚 Learning Resources:

  1. · • GitHub (for SQL queries and project docs)

  2. · • Power BI Public Gallery

  3. · • Kaggle (for public dataset-based analysis)