169.4K
PAComment if you know what type of fish this is. 👇 Hint: They form these aggregations every year in Baja California, Mexico. 🇲🇽
🎥 @mbritop
@paditv
#Aggregations
Watch Reels videos about Aggregations from people all over the world.
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6.5K
AD📌 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
@advance.excel
76.9K
AB“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
@abcaustralia
30.5K
BABass 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!
@bassproshops
11.9K
PHLet’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
@phoebeslifeindata
19.8K
SNTag 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
@snorkeldownunder
42.3K
WO📍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
@woman.engineer
818
EAThis 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
@earthbrigadefoundation
12.4K
NU5 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
@number.shock
33.6K
AAComment 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
@aasifcodes
18.1K
LISome 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 ✨
@lizziedalywild
7.8K
CO📘 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
@codeandcrush
✨ #Aggregations Discovery Guide
Instagram hosts thousands of posts under #Aggregations, creating one of the platform's most vibrant visual ecosystems. This massive collection represents trending moments, creative expressions, and global conversations happening right now.
#Aggregations is one of the most engaging trends on Instagram right now. With over thousands of posts in this category, creators like @paditv, @abcaustralia and @woman.engineer are leading the way with their viral content. Browse these popular videos anonymously on Pictame.
What's trending in #Aggregations? The most watched Reels videos and viral content are featured above. Explore the gallery to discover creative storytelling, popular moments, and content that's capturing millions of views worldwide.
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📈 Hashtag Strategy: Explore trending hashtag options for your content
🌟 Featured Creators: @paditv, @abcaustralia, @woman.engineer and others leading the community
FAQs About #Aggregations
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Content Performance Insights
Analysis of 12 reels
💡 Top performing posts average 80.6K views (2.2x above average). Moderate competition - consistent posting builds momentum.
Post consistently 3-5 times/week at times when your audience is most active
Content Creation Tips & Strategy
🔥 #Aggregations shows high engagement potential - post strategically at peak times
✨ Many verified creators are active (58%) - study their content style for inspiration
📹 High-quality vertical videos (9:16) perform best for #Aggregations - use good lighting and clear audio
✍️ Detailed captions with story work well - average caption length is 682 characters
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