#Data Sets

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#Data Sets Reel by @jessramosdata (verified account) - Comment "project" for my full video that breaks each of these projects down in detail with examples from my own work. If you're using the Titanic, Ir
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@jessramosdata
Comment “project” for my full video that breaks each of these projects down in detail with examples from my own work. If you’re using the Titanic, Iris, or COVID-19 dataset for data analytics projects, STOP NOW! These are so boring and over used and scream “newbie”. You can find way more interesting datasets for FREE on public data sites and you can even make your own using ChatGPT or Claude! Here are the 3 types of projects you need: ↳Exploratory Data Analysis (EDA): Exploring a dataset to uncover insights through descriptive statistics (averages, ranges, distributions) and data visualization, including analyzing relationships between variables ↳Full Stack Data Analytics Project: An end-to-end project that covers the entire data pipeline: wrangling data from a database, cleaning and transforming it. It demonstrates proficiency across multiple tools, not just one. ↳Funnel Analysis: Tracking users or items move from point A to point B, and how many make it through each step in between. This demonstrates a deeper level of business thinking by analyzing the process from beginning to end and providing actionable recommendations to improve it Save this video for later + send to a data friend!
#Data Sets Reel by @aifolksorg (verified account) - 🔍 Ever wondered what types of data sets you need to train a neural network effectively? Let's dive into the essentials in this reel! Join our upco
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@aifolksorg
🔍 Ever wondered what types of data sets you need to train a neural network effectively? Let’s dive into the essentials in this reel! Join our upcoming AI & DataScience cohort at @aifolksorg 🔥 #NeuralNetwork #MachineLearning #AI #DataScience #TrainingData #SupervisedLearning #UnsupervisedLearning #DeepLearning #DataSets #TechEducation [types of datasets, training data, neural network, supervised learning, unsupervised learning, machine learning, AI, data science, image data, text data, time-series data, aifolks, OpenBootcamp ]
#Data Sets Reel by @belmarinspired - Luke Belmar Vs The Haters | Luke Belmar #LukeBelmar #Datasets #Haters #Beef
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@belmarinspired
Luke Belmar Vs The Haters | Luke Belmar #LukeBelmar #Datasets #Haters #Beef
#Data Sets Reel by @belmarinspire - How Luke Belmar Finds Secret Information | Luke Belmar #LukeBelmar #Datasets #TopSecret #Uncovered
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@belmarinspire
How Luke Belmar Finds Secret Information | Luke Belmar #LukeBelmar #Datasets #TopSecret #Uncovered
#Data Sets Reel by @penelope_data - 10 datasets for your data portfolio. Which one are you gonna try first? #data #students
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@penelope_data
10 datasets for your data portfolio. Which one are you gonna try first? #data #students
#Data Sets Reel by @jayenthakker - You probably Googled "How to learn Data Analytics"… And got 100 tabs open. Courses, tools, bootcamps, blogs, YouTube videos, each saying "Start here.
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@jayenthakker
You probably Googled “How to learn Data Analytics”… And got 100 tabs open. Courses, tools, bootcamps, blogs, YouTube videos, each saying “Start here.” But no one told you what not to do. No one gave you a starter kit that actually made sense. So I built. And now I use this same plan to guide beginners I mentor. Here’s the Data Analytics Starter Kit I wish everyone should have👇 1. Start with Excel → It’s not outdated, it’s underrated. → Master formulas, Pivot Tables, and charts. 2. Then SQL → Learn how to query real data. → SELECT, WHERE, GROUP BY, and JOIN. That’s 80% of your job. 3. Add one viz tool → Pick Tableau or Power BI. → Focus on storytelling, not fancy dashboards. 4. Forget 100-hour courses Instead, build 3 small projects: ⤷ A Sales Dashboard in Excel ⤷ A Customer Retention Report in SQL ⤷ A Visual Story in Tableau 5. Use GitHub + LinkedIn → Document your projects. → Share your process. → Visibility builds credibility. 6. Give it 6–8 weeks Learn 1 skill → Apply it → Move to the next. If you're just starting out, don't chase 10 tools. Build your foundation first. Want my full Data Analytics Starter Kit with a roadmap, tool list, and project ideas? Drop "Community" to join my community here. #datavisualization #dataanalyst #datascience #data #sql #excel #python #career #careerswitch #trending #learning #interviewtips #india #metricminds
#Data Sets Reel by @volkan.js (verified account) - Comment "DATA" for the links. You Will Never Struggle With Data Science Again 📌 Learn the most important foundations with these beginner-friendly r
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@volkan.js
Comment "DATA" for the links. You Will Never Struggle With Data Science Again 📌 Learn the most important foundations with these beginner-friendly resources: 1️⃣ Learn Python for Data Science – FreeCodeCamp’s full beginner course 2️⃣ Essence of Linear Algebra – 3Blue1Brown’s visual, intuitive playlist 3️⃣ Statistics – A Full Lecture (2025) – step-by-step breakdown of core stats concepts Stop feeling overwhelmed by Python, statistics, or linear algebra. These tutorials simplify the fundamentals of Data Science with clear explanations, visuals, and real-world examples. Whether you’re preparing for a career in Data Science, getting into machine learning, or just curious about data analysis, this is the fastest way to finally understand how it all fits together. Save this post, share it, and turn confusion into clarity with Python, Stats, and Linear Algebra for Data Science 📊
#Data Sets Reel by @softwarewithnick (verified account) - Top 3 data visualization packages 🤔 1️⃣ https://matplotlib.org 2️⃣ https://seaborn.pydata.org 3️⃣ https://ggplot2.tidyverse.org Being able to vis
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@softwarewithnick
Top 3 data visualization packages 🤔 1️⃣ https://matplotlib.org 2️⃣ https://seaborn.pydata.org 3️⃣ https://ggplot2.tidyverse.org Being able to visualize and tell the story is a key component of being a data scientist. With these 3 packages you can pretty much create any plot you can think of! Not only that, but these packages aren’t actually that bad to learn! There are many other packages out there for data visualization as well, but these are my 3 favorites! Drop a follow for more coding tips 🎯 #code #coding #datascience #tech #python
#Data Sets Reel by @mar_antaya (verified account) - Real world data > Kaggle 👏🏻 time to get dirty with data #dataset #machinelearning
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@mar_antaya
Real world data > Kaggle 👏🏻 time to get dirty with data #dataset #machinelearning
#Data Sets Reel by @pirknn (verified account) - Comment "LINK" to get links! 🚀 Want to learn database design in a way that actually sticks? This mini roadmap takes you from beginner fundamentals t
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@pirknn
Comment “LINK” to get links! 🚀 Want to learn database design in a way that actually sticks? This mini roadmap takes you from beginner fundamentals to designing production ready schemas you can confidently use in real apps. 🎓 Idea to Prod DB Perfect starting point if you are new to database design. You will understand how to go from a product idea to a clean data model, how to identify entities and relationships, and how to avoid common beginner mistakes. Great for learning the basics of schema thinking, constraints and tradeoffs. 📘 DBs in Depth Now deepen your understanding. This resource helps you build a strong mental model for how databases actually work under the hood. You will learn core concepts like indexing, query planning, transactions, isolation levels and normalization vs denormalization so you stop guessing and start designing with confidence. 💻 DB Design Course Time to go end to end. You will apply what you learned by designing schemas for real world features like users, payments, orders and analytics. You will learn how to model one to many and many to many relationships, choose data types, set keys and constraints, and prepare your database for real production workflows. 💡 With these database resources you will: Design clean schemas that scale with your product Understand normalization, indexes and transaction safety Build portfolio ready backend projects with production style database design If you are serious about backend engineering, system design interviews or building real products, database design is a must have skill. 📌 Save this post so you do not lose the roadmap. 💬 Comment “LINK” and I will send you all the links. 👉 Follow for more content on databases, backend engineering and system design.
#Data Sets Reel by @chrisoh.zip - The best projects serve a real use case Comment "data" for all the links and project descriptions #tech #data #datascience #ml #explore
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CH
@chrisoh.zip
The best projects serve a real use case Comment “data” for all the links and project descriptions #tech #data #datascience #ml #explore

✨ #Data Sets Discovery Guide

Instagram hosts 16K posts under #Data Sets, creating one of the platform's most vibrant visual ecosystems. This massive collection represents trending moments, creative expressions, and global conversations happening right now.

Discover the latest #Data Sets content without logging in. The most impressive reels under this tag, especially from @jayenthakker, @chrisoh.zip and @jessramosdata, are gaining massive attention. View them in HD quality and download to your device.

What's trending in #Data Sets? 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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🌟 Featured Creators: @jayenthakker, @chrisoh.zip, @jessramosdata and others leading the community

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Content Performance Insights

Analysis of 12 reels

✅ Moderate Competition

💡 Top performing posts average 1.0M views (2.9x above average). Moderate competition - consistent posting builds momentum.

Post consistently 3-5 times/week at times when your audience is most active

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💡 Top performing content gets over 10K views - focus on engaging first 3 seconds

✨ Many verified creators are active (50%) - study their content style for inspiration

✍️ Detailed captions with story work well - average caption length is 572 characters

📹 High-quality vertical videos (9:16) perform best for #Data Sets - use good lighting and clear audio

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