Mastering Excel & SQL for Data Analysts

🚀 SQL Scenarios – Day 07 Continuing my journey of solving real-world SQL problems to strengthen my data analytics skills 💻📊 📌 Today’s Focus: ✔️ Custom sorting using CASE WHEN ✔️ Fixing running total calculations using window functions 🔹 What I Practiced Today: 👉 Learned how to force priority rows like “India” to appear first in dashboards using custom sorting 👉 Used CASE WHEN inside ORDER BY to control business-driven report presentation 👉 Understood why running totals behave incorrectly with duplicate values 👉 Fixed cumulative sum issues using ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW 💡 Key Takeaway: Small changes in SQL logic can completely improve reporting accuracy and dashboard presentation — especially in real-world analytics projects. Grateful to Ankit Bansal and Shashank Singh 🇮🇳 Singh for the valuable insights 🙌 #SQL #DataAnalytics #DataAnalyst #SQLPractice #WindowFunctions #LearningJourney #InterviewPreparation #Analytics #SQLTips #LinkedInLearning

🌟 This project reinforced how powerful #Excel can be for data analysis when combined with strong data preparation and thoughtful #visualization. Click 👇 to read more about the project. https://lnkd.in/eNthNybh #Excel #DataAnalytics #Dashboard #DataVisualization #SQL #BusinessIntelligence #DataAnalyst #ProcessAutomation #DataAnalyst #DataEngineer

Today I got back to strengthening my SQL fundamentals 💻 Spent time revisiting core concepts like: • SELECT statements • WHERE conditions • GROUP BY & HAVING • Aggregate functions It reminded me that strong basics are what make advanced analysis powerful. As a Data Analyst, consistency > intensity. Even a single focused session can sharpen your thinking and improve how you work with data. Back to building. 📊 #SQL #DataAnalytics #Learning #Consistency #DataAnalyst #CareerGrowth

Must-know SQL queries for Data Analysts. Revisiting the fundamentals — because strong basics make better analysts. Here’s a quick cheat sheet covering: • Filtering • Joins • Aggregations • Window functions • CTEs Simple. Practical. Useful #SQL #DataAnalytics #DataAnalyst #LearnSQL #Analytics #TechCareers #DataScience

Excel helps explore. SQL helps organize. Power BI helps tell the story. 📊 Three tools, one goal: turning raw data into meaningful insights. Learning to use the right tool at the right time on my data analytics journey. 🚀 #Excel #SQL #PowerBI #DataAnalytics #BusinessIntelligence #AnalyticsJourney

Most people think data analysis begins with dashboards. However, it actually starts with asking better questions. My experience in operations has taught me to look beyond tasks and focus on identifying patterns, inefficiencies, and areas for improvement. #DataAnalytics #ProcessImprovement #SQL #CareerGrowth

I used to think SQL was complicated… But the real problem was simpler than I thought. I wasn’t filtering my data properly I used to run queries on full datasets which made analysis slower and confusing. Then I started using WHERE conditions effectively: • Focus only on relevant data • Reduce unnecessary rows • Get faster and clearer insights Example: SELECT * FROM sales WHERE revenue > 10000; This small change made my queries: ✔ Faster ✔ Cleaner ✔ Easier to understand Now I spend less time searching data and more time analyzing it 📊 Still learning SQL every day as I move into Data Analytics What’s one SQL tip that improved your workflow? #SQL #DataAnalytics #LearningJourney #Analytics

DAY 18 Understanding Data Questions: The Real Skill Behind SQL Anyone can learn SQL syntax, but the real magic starts before you even touch the keyboard. Understanding what the data question is really asking is half the battle. Is it about trends, comparisons, or anomalies? Are we summarizing individual records or aggregated patterns? Do we need a single metric or a story from multiple joined tables? Once you truly understand the question, you can pick the right SQL tool for the job: GROUP BY + aggregates for summaries and KPIs JOINs to connect relationships across datasets CASE WHEN for conditional logic WHERE for filtering rows based on condition The stronger your grasp of data logic, the more powerful your SQL becomes. It’s not just about writing queries it’s about turning questions into insights. #DataAnalytics #SQL #DataAnalysis #BusinessIntelligence #DataThinking

Many beginners think Data Analysts only create dashboards. Reality: 80% of the work is • Cleaning data • Fixing errors • Preparing datasets Only then analysis becomes easy. #DataAnalytics #SQL #DataScience

SQL vs Excel. If you had to choose one… Which matters more? From what I’ve analysed: • SQL = accessing data • Excel = analysing quickly Both show up everywhere. But if I had to prioritise? 👉 SQL gives you the edge Because without data access, nothing starts. Curious to hear your take: SQL or Excel? #DataDebate #SQL #Excel