Data Analytics
Perfect channel to learn Data AnalyticsLearn SQL, Python, Alteryx, Tableau, Power BI and many moreFor Promotions:@coderfun@love_data
What our data says
- Launched between October 2021 and September 2022.
- Sold together with 11 other channels through one ad contact, a larger network than 97% of those we found.
- Larger than 97% of English-language education channels.
- Of the channels created in the same period, 99% are smaller than this one.
- 6 other channels copied one of its posts word-for-word.
This channel is part of the following ad network. Channels in a network list the same advertising contact: usually one owner or one ad seller.
This channel is part of the discussion
Data Analytics appears in 61 event pages on TGScopeThis combines: GROUP BY SUM() CASE WHEN to create a business-ready result. 2️⃣7️⃣ Important SQL Execution Concept A simplified logical order of SQL processing is: FROM ↓ WHERE ↓ GROUP BY ↓ HAVING ↓ SELECT ↓ ORDER BY This helps explain why SQL behaves differently from how the…
🚀 Data Analyst Roadmap — Part 30 POWER BI LEVEL 9 — DAX VARIABLES: VAR, RETURN & CLEANER DAX As DAX calculations become more complex, writing everything in one expression can make your measures difficult to understand and maintain. That's where VAR and RETURN become extremely…
Level 1 — Power BI Fundamentals Desktop, Service, Reports, Dashboards, Workspaces, Data sources, Import mode, DirectQuery, Semantic models Level 2 — Power Query Data cleaning, transformations, merge, append, group, pivot/unpivot, conditional/custom columns, data types 🧮 STEP 8…
🚀 Data Analyst Roadmap — Part 1 🧠 Understanding the Data Analyst Role Before learning Excel, SQL, Power BI, Python, or any other tool, you need to understand what a Data Analyst actually does. Many beginners make the mistake of starting with tools. They learn: Excel → SQL →…
🚀 Data Analyst Roadmap — Part 3 📊 Excel — Level 2: Essential Formulas Now that you understand Excel's basic structure, the next step is learning the formulas that every Data Analyst should know. For every function, understand: What does it do? → When should I use it? → What…
Example: Filter Department = IT → only IT employees show Filter Sales > 60000 or Department = IT AND Sales > 60000 Filtering is one of the first techniques you'll use when exploring data. 🔟 Understand Data Types Text: John, India, Laptop Numbers: 100, 5000, 99.5 Dates:…