Data Analysts: Cleaning and Preparing Data

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

In the world of data modeling, the ability to summarize information quickly is what turns raw data into actionable insights. DAX Aggregate Functions are the primary tools used to perform calculations over a column or table, returning a single scalar value. #PowerBI #SQL #DataAnalyst #DataEngineering #DataVisualization

🚀 SQL Scenarios – Day 09 Continuing my journey of solving real-world SQL problems to strengthen my data analytics skills 💻📊 📌 Today’s Focus: ✔️ GROUP BY & Aggregation ✔️ Window Functions using PARTITION BY ✔️ Running Totals in SQL ✔️ Rolling Window Analysis 🔹 What I Practiced Today: 👉 Calculated total sales per salesperson using GROUP BY and SUM() 👉 Learned how Window Functions help retain row-level details while performing aggregations 👉 Created running totals using ORDER BY inside OVER() for trend analysis 👉 Built rolling sales calculations using ROWS BETWEEN for short-term performance tracking 💡 Key Takeaway: Window Functions are one of the most powerful SQL concepts for real-world analytics because they allow advanced calculations without losing detailed data visibility. Grateful to Ankit Bansal and Shashank Singh 🇮🇳 Singh for the valuable insights 🙌 #SQL #DataAnalytics #DataAnalyst #SQLPractice #WindowFunctions #LearningJourney #InterviewPreparation #Analytics #RunningTotal #SQLTips

One thing that changed how I approach Data Analytics: Stop starting with the dataset. Start with the business question. Instead of asking: “What can I find in this data?” Start asking: • Why does this data exist? • What decision will this analysis support? • What problem are we trying to solve? When the question is clear, the analysis becomes simple. When the question is missing, even good analysis feels useless. Data is valuable only when it helps someone make a decision. #dataanalytics #businessanalytics #sql #powerbi #analytics

🚀 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

Breaking into data? Focus on the right skills. Master the fundamentals that actually matter in 2026 #DataAnalytics #DataAnalyst #SQL #PowerBI #CareerGrowth #GradenceGlobal

Bridging Tables Without Direct Relationship ============================ One powerful concept in SQL is connecting tables that don’t have a direct relationship. 👉 For example, imagine you want to analyze data between order_details and customers. At first glance, there’s no direct link between these two tables. But if you understand your data model well, you can identify a bridge table that connects them in this case, the orders table. 🔍 Key takeaway: Even when two tables don’t relate directly, understanding the data structure allows you to bridge the gap and unlock valuable insights. This is a common real-world scenario in data analysis and mastering it can significantly improve how you approach complex datasets. #SQL #DataAnalytics #BusinessIntelligence

Turning raw data into meaningful insights 📊 Worked on structuring data using SQL and explored how GROUP BY and COUNT can simplify analysis by organizing data into clear summaries. It’s interesting to see how a few queries can reveal patterns hidden inside rows of data. Sharing a small snapshot of my practice 👇 #SQL #DataAnalytics #LearningByDoing #Consistency #Growth #WomenInTech Always open to feedback and learning more.

One key lesson from working with data:The quality of your analysis depends on the quality of your data.Using SQL to extract structured data makes everything downstream easier:• Cleaner Excel work• Better dashboards• More reliable insights#SQL #DataAnalytics

Mastering Excel & SQL is no longer optional for data analysts — it’s the foundation. From data cleaning to advanced analysis, these tools cover everything: 📊 Excel for quick insights, transformations & reporting 🗄️ SQL for querying, joining & handling large datasets The real power lies in knowing when to use what. If you're starting your data journey or leveling up — focus on these core functions and build strong fundamentals. #DataAnalytics #SQL #Excel #DataSkills #CareerGrowth