Mastering Data Fundamentals for Career Growth

Most people think Power BI is just about charts… But in reality, the real power is in DATA MODELING. I recently worked on a project where: Data was coming from multiple sources Reports were slow and inconsistent After redesigning the data model: Report performance improved KPIs became more reliable Decision-making became faster Lesson: If your data model is weak, your insights will be wrong. Now I focus more on building strong data models before jumping into visuals. #PowerBI #DataAnalytics #BusinessIntelligence #SQL #DataModeling

“Data Analysts just build dashboards…” That’s the biggest myth. Real work looks like this :- 🔹 Understanding the problem 🔹 Cleaning messy data 🔹 Writing SQL 🔹 Finding insights 🔹 Communicating clearly 🔹 THEN building dashboards Truth is 80% of the work happens before visualization. #DataAnalytics #DataAnalyst #SQL #PowerBI #BusinessIntelligence #DataScience #Analytics #LearningJourney #CareerGrowth #DataVisualization #DAX #Dashboards

I used to think data analysis starts with dashboards. It doesn’t. It starts with messy data. Before any insight, I learned how to clean data using SQL: • Handling missing values (COALESCE, IFNULL) • Removing duplicates (DISTINCT, ROW_NUMBER) • Standardising text (TRIM, LOWER, UPPER) • Fixing inconsistent formats • Converting data types and dates Because if the data is wrong… ➡️ the insights will be wrong too‼️ This changed how I approach every project.💫 #sql #dataanalytics #datacleaning #businessintelligence #learning

Today’s class introduced me to Power Query and data transformation in Power BI 📊✨ I learned how raw data can be cleaned and transformed into a structured format before analysis. It’s interesting to see that a large part of data analysis involves preparing and cleaning data to ensure accuracy. This has given me a deeper understanding of the data analysis process, and I’m excited to keep building on this foundation. #DataAnalytics #PowerBI #DataCleaning #LearningInPublic #DextraqAcademy

A mistake many beginners make in Data Analytics: Jumping straight into dashboards. Charts look exciting. Dashboards feel productive. But without proper analysis, dashboards can be misleading. Before visualization, the real steps are: • Understanding the business problem • Cleaning the data • Exploring patterns • Asking the right questions Visualization should be the final step, not the first. Good insights come before good charts. #dataanalytics #datavisualization #powerbi #sql #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

SQL Data Analytics Roadmap 📊 Mastering SQL for data analytics is about building skills step by step: Start with the basics (SELECT, WHERE, GROUP BY), then move into filtering and aggregations. Learn how to combine data using JOINs, and deepen your analysis with subqueries and transformations. To stand out, focus on analytical functions (RANK, ROW_NUMBER), performance optimization, and understanding how databases work. Key insight: SQL is not just querying data, it’s transforming raw data into insights that drive decisions. Consistency is what builds mastery. #SQL #DataAnalytics #DataScience #BusinessIntelligence #Analytics #LearningSQL #DataSkills

Part-4 Power BI Beginner Guide 🔥 Start Data Analytics Today 🚀 Want to start your journey into Data Analytics? Power BI is one of the most powerful tools to turn raw data into meaningful insights. 🎥 Watch here: https://lnkd.in/dmframAQ 💡 Why Power BI matters Today, companies don’t just need data- they need insights they can act on. 📊 What Power BI helps you do: ✔ Connect and clean data from multiple sources ✔ Build interactive dashboards ✔ Create visuals that tell a story ✔ Make faster, data-driven decisions 🎯 Beginner truth You don’t need to be a programmer to start. You just need the right direction + practice. ⚡ My takeaway Data Analytics is no longer optional- it’s a must-have skill for career growth in every domain. 🚀 Start small, stay consistent, and build real projects. 💬 Are you just starting with Power BI or already exploring dashboards? SIC Edutech Amit kumar Rajan Adarsh Hunare Gagan Deep #PowerBI #DataAnalytics #ExcelToPowerBI #DataVisualization #Analytics #LearnPowerBI #Dashboard #DataScience #CareerGrowth #MicrosoftPowerBI #DataSkills

Most people think Data Analysis starts with dashboards. In reality, it starts with messy data. Before any insights come out, there’s a lot happening behind the scenes:- • Handling missing values • Removing duplicates • Fixing inconsistent formats • Cleaning and preparing datasets Good analysis is impossible without good data. 80% of the work is data cleaning. 20% is analysis and visualization. Clean data → Clear insights → Better decisions. #dataanalytics #datacleaning #analytics #powerbi #sql

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