#Aggregations

Comment if you know what type of fish this is. 👇 Hint: They form these aggregations every year in Baja California, Mexico. 🇲🇽 🎥 @mbritop

📌 SQL Cheat Sheet for Data Analyst Interviews As a fresher, I learned this quickly 👇 👉 Interviews don’t test everything — they test fundamentals. Most SQL interview questions focus on: ✔ Joins ✔ Aggregations ✔ Subqueries ✔ CASE logic ✔ Date functions This cheat sheet isn’t about memorizing syntax. It’s about turning business questions into SQL logic. 📊 Example: “Monthly sales growth” → group by month, aggregate, compare. Sharing this for fellow Data Analyst aspirants 🚀 #SQL #DataAnalytics #trendingreels #exceltips #ExcelFormulas

“We didn’t set out to be the biggest or the boldest.” This family manages land twice the size of Jamaica! Their property spans 2.2 million hectares across the nation, from sheep and cattle stations to piggeries, running 200,000 head of livestock across more than 20 major aggregations. 📺 Watch Landline Sundays at 12:30pm on ABCTV or on iview. #ABCLandline #RuralAustralia

Bass Pro Shops and Cabela’s Outdoor Fund is proud to partner with @bonefishtarpontrust as they work to conserve and restore bonefish, tarpon, and permit fisheries. When you round-up for conservation, you are supporting critical conservation efforts like BTT’s research of bonefish spawning aggregations in the Florida Keys. Together with Bonefish & Tarpon Trust, we are making a difference for conservation!

Let’s break down the three key projects that you need in your data portfolio 💻📈 An SQL analysis showcasing a range of skills; joins, CTEs, subqueries, aggregations Analysing that data in Excel: create pivots, charts & diagrams and pull out insights Put those two things together into a dashboard and you have a holistic data project! Make sure you’re answering a business problem & giving solutions/recommendations. #dataanalyst #excel #portfolio #dataprojects #sql

Tag someone that looks like this! 👁️👄👁️ Ever seen the comical face of a Strawberry Conch (Conomurex luhuanus)? These spectacular herbivores are often found in large aggregations in specific reef habitats. Conch are very underrated and are just so incredible! 🐚 #conch#marinelife#magneticisland#australia#wild#funny#queensland#greatbarrierreef#shell#underwaterphotography

📍How to prepare for Data Scientist role in 2026 🚀 CORE SKILLS YOU MUST MASTER: Programming You must be fluent in: ● Python ● NumPy ● Pandas ● Scikit-learn Writing clean, readable, bug free code Data transformations without IDE help Expect: ● Data cleaning ● Feature extraction ● Aggregations ● Writing logic heavy code SQL Almost every Data Science role tests SQL. You should be comfortable with: ● Joins - inner, left, self ● Window functions ● Grouping & aggregations ● Subqueries ● Handling NULLs Statistics & Probability: ● Probability distributions ● Hypothesis testing ● Confidence intervals ● A/B testing ● Correlation vs causation ● Sampling bias Machine Learning Fundamentals. You must know: ● Supervised vs Unsupervised learning ● Regression & Classification ● Bias Variance tradeoff ● Overfitting / Underfitting Evaluation metrics: ● Accuracy ● Precision / Recall ● F1-score ● ROC-AUC ● RMSE FEATURE ENGINEERING & DATA UNDERSTANDING: ● This is where strong candidates stand out. ● Handling missing data ● Encoding categorical variables ● Feature scaling ● Outlier treatment CORE SKILLS YOU MUST MASTER: Programming You must be fluent in: ● Python ● NumPy ● Pandas ● Scikit-learn Writing clean, readable, bug free code Data transformations without IDE help Expect: ● Data cleaning ● Feature extraction ● Aggregations ● Writing logic heavy code SQL Almost every Data Science role tests SQL. You should be comfortable with: ● Joins - inner, left, self ● Window functions ● Grouping & aggregations ● Subqueries ● Handling NULLs Statistics & Probability: ● Probability distributions ● Hypothesis testing ● Confidence intervals ● A/B testing ● Correlation vs causation ● Sampling bias Machine Learning Fundamentals. You must know: ● Supervised vs Unsupervised learning ● Regression & Classification ● Bias Variance tradeoff ● Overfitting / Underfitting Evaluation metrics: ● Accuracy ● Precision / Recall ● F1-score ● ROC-AUC ● RMSE +++ for more look at the comment #datascientist #aiengineer #softwareengineer #datascience #dataengineer

This large fish is an active filter feeder, primarily consuming plankton, krill, fish eggs, and small schooling fish such as sardines and anchovies. Highly migratory, they travel thousands of miles across tropical oceans to exploit seasonal food sources, with large, predictable feeding aggregations occurring at coastal sites such as Ningaloo Reef in Western Australia, the Yucatan Peninsula in Mexico, and off the coast of Gujarat and Kerala in India. Which one of the three is it? Let us know in the comments below: A. Dugong B. Whale Shark C. Dolphin Photo credits to: @__.viewfinder.__ @louisrichterfilms @seenbylexo @ruggio_nature @ocean.nico @khatau #triviatuesday #wildlifetrivia #marinelife #wildlifeconservation

5 millimeters long. Under 30 milligrams. Flies 120 km nonstop. That's roughly the distance from London to Oxford and back. The tiny wings hidden under those red shells beat 85 times per second - and they keep that up for hours at altitudes reaching 1,100 meters. That's exactly how aggregations like this one form: thousands of individuals converging on a single overwintering site from dozens of kilometers away. They navigate by terrain, sunlight, and pheromone traces left by previous generations. One successful winter spot gets passed down through a population for years. By spring, this entire mass will have scattered across the landscape in a matter of hours. Video author unknown. If you are the author (or rights holder), please contact us. #ladybug #nature #insects #migration #biology

Comment SQL for the links 👨‍💻 Top 10 SQL projects you should build before applying for a data role. These projects are based on real world datasets like E commerce, Netflix, Banking, HR, Airbnb, Spotify and more. You will practice: ➡️Joins and aggregations ➡️Group by and filtering ➡️Window functions ➡️Ranking and segmentation ➡️Time based trend analysis This is how you move from learning syntax to solving real business problems and building a strong portfolio. #sql #learnsql #datascience #sqlprojects #dataanalytics

Some magical marine moments for you to enjoy this Sunday. I’ve found that my most vivid wildlife encounters over the years have been those on the ocean 🌊 From my first sighting of the mighty Blue whale to aggregations so large they look as if they stretch to the horizon. Perhaps it’s that familiar smell of herring. Or the feeling of dry salt on my skin. We find awe in many places across the natural world but for me encounters like this always stand above the rest. First clip taken by @indiarrose_ The marine clips shot by me for various projects including a new series for @lovenature ✨

📘 The Ultimate SQL Cheat Sheet You’ll Ever Need! 💻 Most people waste months learning SQL command by command… but I’ve organized everything — from basics to advanced analytics — into one complete and beginner-friendly roadmap ⚡ You’ll learn: ✅ DML, DDL, DCL, TCL & DQL — all with syntax & examples ✅ Joins, Subqueries, Aggregations & Window Functions ✅ String, Date, and Conditional Functions ✅ Performance Optimization & Real Business Use Cases (RFM, Trend, Cohort) ✅ Integration with Python, Power BI, and Data Science Workflows Whether you’re a beginner preparing for interviews or an analyst building dashboards, this guide will help you understand SQL like never before 💪 💬 Comment “SQL” if you want the complete cheat sheet 👇 💾 Save this post to revise before your next project or interview ⚡ Follow for daily Data Analytics, SQL & Python tips! #sql #sqlcheatsheet #dataanalytics #learnsql #datascience #python #powerbi #tableau #machinelearning #bigdata #dataengineer #dataanalyst #studyreels #techreels #analyticscommunity #codinglife #careergrowth #reelitfeelít