Data Analytics

80% of people who start learning data analytics never land a job. Not because they lack skill but because they get stuck in "preparation mode." I was almost one of them. I spent months: -Taking courses. -Watching YouTube tutorials. -Practicing SQL and Power BI. But when it came time to publish a project or apply for jobs I hesitated. “I need to learn more first.” “My portfolio isn’t ready.” “Maybe next month.” Sound familiar? You don’t need more knowledge you need more execution. Data analysts who build & share projects are 3X more likely to get hired. The best analysts aren’t the smartest. They’re the ones who take action. -They publish dashboards, even if they aren’t perfect. -They post case studies, even when they feel like imposters. -They apply for jobs before they "feel ready" Stop overthinking. Pick a dataset, build something, and share it today. One messy project is worth more than 100 courses you never use.

How to Become a Data Analyst from Scratch!🚀 Whether you're starting fresh or upskilling, here's your roadmap: ➜ Master Excel and SQL - solve SQL problems from leetcode & hackerank ➜ Get the hang of either Power BI or Tableau - do some hands-on projects ➜ learn what the heck ATS is and how to get around it ➜ learn to be ready for any interview question ➜ Build projects for a data portfolio ➜ And you don't need to do it all at once! ➜ Fail and learn to pick yourself up whenever required Whether it's acing interviews or building an impressive portfolio, give yourself the space to learn, fail, and grow. Good things take time ✅ Like if it helps ❤️ I have curated best 80+ top-notch Data Analytics Resources 👇👇 https://topmate.io/analyst/861634 Hope it helps :)

☑️Essential SQL Commands & Functions Cheatsheet Whether you're a beginner or prepping for a system design or data role — mastering these SQL essentials will take you far 💡 ⬇️Here's a quick reference of key SQL operations to know: ➜ SELECT → Retrieve data from a table ➜ WHERE → Filter rows based on condition ➜ GROUP BY → Aggregate rows with same values ➜ HAVING → Filter groups after aggregation ➜ ORDER BY → Sort result by one or more columns ➜ JOIN → Combine rows from multiple tables ➜ UNION → Merge result sets into one ➜ INSERT INTO → Add new data into a table ➜ UPDATE → Modify existing records ➜ DELETE → Remove records ➜ CREATE TABLE → Define a new table ➜ ALTER TABLE → Modify an existing table ➜ DROP TABLE → Delete a table ➜ TRUNCATE TABLE → Remove all records ➜ DISTINCT → Get unique values ➜ LIMIT → Restrict number of results ➜ IN / BETWEEN → Filter by multiple values/ranges ➜ LIKE → Pattern matching ➜ IS NULL → Filter NULL values ➜ COUNT() / SUM() / AVG() → Common aggregate functions 😀Save this for quick reference Hope this helps you 😊