#Sql Excel

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#Sql Excel Reel by @loresowhat (verified account) - SQL is not just for pulling data into Excel (but most people never learn this) 📊 Real talk: if you're only using SQL to extract data, you're missing
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@loresowhat
SQL is not just for pulling data into Excel (but most people never learn this) 📊 Real talk: if you’re only using SQL to extract data, you’re missing the entire point. SQL is how you become a data storyteller, not just a data puller. This end to end project walks through beginner to advanced queries on real E Bike rental data using BigQuery (completely free). You’ll learn how to explore data and find insights directly in SQL, not after you export it. The difference between junior and senior analysts? Juniors pull data then analyze it elsewhere. Seniors do the analysis in the query itself. This is the skill that actually gets you promoted. Comment “DATA” to watch the full video 🎯 #SQLProjects #BigQueryTutorial #DataStorytelling #AdvancedSQL
#Sql Excel Reel by @loresowhat (verified account) - SQL isn't just for pulling data (but 90% of analysts never figure this out) 📊 Most people use SQL to extract data then analyze it in Excel. Here's w
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LO
@loresowhat
SQL isn’t just for pulling data (but 90% of analysts never figure this out) 📊 Most people use SQL to extract data then analyze it in Excel. Here’s what they’re missing: the analysis happens IN the query. This end to end project on E Bike rental data shows you how to go from raw tables to actual business recommendations: Peak demand at 7am and 3pm (rebalance bikes between 10am and 2pm for evening rush). Subscriber vs casual split (commuters do short predictable trips, tourists do long leisure rides). Actionable insight: launch a weekend Explorer pass for casual users during off peak hours. This is what separates data pullers from data storytellers. You’re not just showing what happened. You’re telling them what to do next. Comment “DATA” for the full project and save this before your next analysis 🎯 #SQLForBusiness #DataStorytelling #BigQueryProjects #SQLAnalysis
#Sql Excel Reel by @metricminds.in - Many beginners learn SQL But few know how SQL is actually used in a real analytics project → The real workflow looks like this Start → understand th
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@metricminds.in
Many beginners learn SQL But few know how SQL is actually used in a real analytics project → The real workflow looks like this Start → understand the business question → revenue dropped or users churned Then → explore raw tables → orders → customers → transactions Next → clean the data using SQL → handle nulls → fix duplicates → standardize formats Then → join tables → build one analysis-ready dataset After that → write logic → aggregations → filters → time-based comparisons Final step → validate numbers → cross-check with source → explain insights in simple language Biggest pain point → people write queries without context Real skill → SQL + business thinking Queries get you data Context gets you impact Follow @jayenthakker and @metricminds.in ➕ Dedicated to helping aspiring data analysts thrive in their careers.
#Sql Excel Reel by @its_justdami - Just completed my first SQL project! I went from zero to querying like a pro, exploring databases, joining tables, and finding insights that actually
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@its_justdami
Just completed my first SQL project! I went from zero to querying like a pro, exploring databases, joining tables, and finding insights that actually matter. If you’ve ever wanted to see how SQL can turn raw data into answers, this is for you. Fun fact: I learned how to filter, sort, and analyze data just like the pros do! Can’t wait to dive deeper and build even cooler projects! #SQL #DataAnalytics #FirstProject #viral
#Sql Excel Reel by @rebellionrider - Stop waiting for expensive BI tool access to do your work. Most high-level insights come from solid logic, not a shiny interface. You can replicate th
734
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@rebellionrider
Stop waiting for expensive BI tool access to do your work. Most high-level insights come from solid logic, not a shiny interface. You can replicate the “magic” of a $20k dashboard with these three SQL fundamentals: 1. Window Functions: Use SUM() OVER() for running totals or RANK() to identify top performers without exporting to Excel. 2. CASE WHEN: Build your own customer segments or product categories on the fly instead of waiting for a data engineer to update the schema. 3. Common Table Expressions (CTEs): Break down complex business questions into readable, modular steps that any stakeholder can follow. Software licenses change every year, but SQL is the permanent foundation of data analysis. If you master the syntax, you control the narrative—no matter what tool your company uses. Which “premium” dashboard feature do you prefer building yourself in SQL? Let’s discuss in the comments. #SQL #DataAnalysis #DataScience #DataStrategy
#Sql Excel Reel by @loresowhat (verified account) - Comment "CODE" and I will send you the full code! This is how I do exploratory data analysis with SQL fast! This reel walks you through my exact EDA
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@loresowhat
Comment “CODE” and I will send you the full code! This is how I do exploratory data analysis with SQL fast! This reel walks you through my exact EDA process using SQL (step-by-step) Super simple, super structured. I break down how to explore your dataset, find patterns, spot outliers, and uncover insights that actually matter. Follow me for more clean walkthroughs like this! #data #datascience #dataanalytics #sql
#Sql Excel Reel by @mominarahim20 (verified account) - Starting TODAY… we're officially kicking off my 30-Day SQL Bootcamp right here on Reels simple SQL from scratch Comment START for the resources Her
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@mominarahim20
Starting TODAY… we’re officially kicking off my 30-Day SQL Bootcamp right here on Reels simple SQL from scratch Comment START for the resources Here’s our roadmap 👇 ✨ Week 1: We break down the basics — Data, DBMS, and getting your SQL software installed. ✨ Week 2: We master the backbone of every database: CRUD (Create, Read, Update, Delete). ✨ Week 3: We get smart with grouping, filtering, and aggregate functions that actually make sense. ✨ Week 4: We level up JOINS, UNIONS, SUBQUERIES — the things that make you feel like a real data analyst. Whether you’re a student, a marketer, a freelancer, or someone planning a full pivot into analytics… this free series is your first real step into the backend world of the internet. But listen… 👇 If you want the full data stack SQL to pull the data, Excel & Power BI to make it speak then you’re going to want this: My Excel & Power BI Masterclass goes LIVE on December 14th. A complete, hands-on cohort where you’ll learn to build clean, professional dashboards that impress managers and convert clients. If you’re serious about stepping into Business Intelligence… DM me “DATA” to reserve your spot for the Dec 14th batch. Spots are going quickly. Turn on notifications because Day 1 drops in the next Reel and you don’t want to miss the start. #SQL #DataAnalysis #LearnSQL #DatabaseManagement #DBMS #RelationalDatabase #DataScience #ExcelTips #PowerBI #BusinessIntelligence #CodingForBeginners #TechCareer #DataAnalyst #SQLServer #MySQL #OnlineCourse #CareerGrowth #TechSkills #ExcelCourse #StudyMotivation
#Sql Excel Reel by @jayenthakker - Most #SQL problems are not about complex logic They happen because basic keywords are forgotten Queries return wrong numbers Filters behave weird #Re
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@jayenthakker
Most #SQL problems are not about complex logic They happen because basic keywords are forgotten Queries return wrong numbers Filters behave weird #Reports lose trust If you work with data → these **SQL keywords must stay in your head** SELECT → choose only what matters WHERE → filter before you calculate GROUP BY → summarize without confusion HAVING → filter after aggregation ORDER BY → control the story of data JOIN → connect tables correctly CASE → build business logic inside SQL OVER → unlock running totals and trends Remembering keywords is not memorizing syntax → it’s knowing when to use what → that’s how analysts think Follow @jayenthakker Dedicated to helping aspiring data analysts thrive in their careers. ➕ Follow @metricminds.in for more tips, insights, and support on your data journey!
#Sql Excel Reel by @rebellionrider - Stop waiting for expensive BI tool access to do your work. Most high-level insights come from solid logic, not a shiny interface. You can replicate th
2.8K
RE
@rebellionrider
Stop waiting for expensive BI tool access to do your work. Most high-level insights come from solid logic, not a shiny interface. You can replicate the “magic” of a $20k dashboard with these three SQL fundamentals: 1. Window Functions: Use SUM() OVER() for running totals or RANK() to identify top performers without exporting to Excel. 2. CASE WHEN: Build your own customer segments or product categories on the fly instead of waiting for a data engineer to update the schema. 3. Common Table Expressions (CTEs): Break down complex business questions into readable, modular steps that any stakeholder can follow. Software licenses change every year, but SQL is the permanent foundation of data analysis. If you master the syntax, you control the narrative—no matter what tool your company uses. Which “premium” dashboard feature do you prefer building yourself in SQL? Let’s discuss in the comments. #SQL #DataAnalysis #DataScience #DataStrategy
#Sql Excel Reel by @learning._log - Most beginners use SQL just to select data. But when you combine COUNT(*) with GROUP BY, you start thinking like an analyst. One query. Instant summ
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@learning._log
Most beginners use SQL just to select data. But when you combine COUNT(*) with GROUP BY, you start thinking like an analyst. One query. Instant summary. Clear insights. Small SQL concepts → Big impact. #SQL #DataAnalytics #LearnSQL #DataAnalyst #BeginnerSQL
#Sql Excel Reel by @leetquery - GROUP BY is where SQL starts getting powerful 😮‍🔥 If you're still looking at raw rows one by one… you're missing the real game. GROUP BY = turning
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@leetquery
GROUP BY is where SQL starts getting powerful 😮‍🔥 If you’re still looking at raw rows one by one… you’re missing the real game. GROUP BY = turning messy data into insights. In this video, we break down: 🔥 What GROUP BY actually does 🔥 How to get totals, counts, averages in seconds 🔥 Real examples you’ll see in interviews 🔥 Common mistakes beginners make (don’t be that person 👀) Because in the real world, no one asks for raw data. They ask: “What’s the total revenue per category?” That’s your cue to GROUP BY. Watch the full video and try the queries yourself. Follow ReadQuery for more bite-sized SQL that actually makes you job-ready
#Sql Excel Reel by @loresowhat (verified account) - Everyone says "learn statistics" but nobody shows you how it works in actual SQL queries 📊 Here's the exact statistical pipeline I run on every tran
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@loresowhat
Everyone says “learn statistics” but nobody shows you how it works in actual SQL queries 📊 Here’s the exact statistical pipeline I run on every transaction dataset: Descriptive stats (mean, median, mode, standard deviation, variance). Percentiles and quartiles (25th, 50th, 75th, 90th to understand distribution). IQR method for outlier detection (Q1 minus 1.5×IQR, Q3 plus 1.5×IQR). Correlation analysis (Pearson coefficient between transaction amount and customer age). Frequency distribution with bins (use case statements to group ranges). Z scores for anomaly detection (flag transactions that are X standard deviations from mean). This is how you actually apply statistics in SQL, not just theory from a textbook. Comment “CODE” for the full script. Save this before your next analysis 🎯 #SQLStatistics #StatisticsForDataAnalysis #AdvancedSQL #DataAnalyticsTutorial

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