#Data Sets

世界中の人々によるData Setsに関する16K件のリール動画を視聴。

ログインせずに匿名で視聴。

16K posts
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トレンドリール

(12)
#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
213.5K
JE
@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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AI
@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
2.4K
BE
@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
9.2K
PE
@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.
3.2M
JA
@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
11.8K
VO
@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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SO
@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
177.4K
MA
@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
19.6K
PI
@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
471.8K
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発見ガイド

Instagramには#Data Setsの下に16K件の投稿があり、プラットフォームで最も活気のあるビジュアルエコシステムの1つを作り出しています。

Instagramの膨大な#Data Setsコレクションには、今日最も魅力的な動画が掲載されています。@jayenthakker, @chrisoh.zip and @jessramosdataや他のクリエイティブなプロデューサーからのコンテンツは、世界中で16K件の投稿に達しました。

#Data Setsで何がトレンドですか?最も視聴されたReels動画とバイラルコンテンツが上部に掲載されています。

人気カテゴリー

📹 ビデオトレンド: 最新のReelsとバイラル動画を発見

📈 ハッシュタグ戦略: コンテンツのトレンドハッシュタグオプションを探索

🌟 注目のクリエイター: @jayenthakker, @chrisoh.zip, @jessramosdataなどがコミュニティをリード

#Data Setsについてのよくある質問

Pictameを使用すれば、Instagramにログインせずに#Data Setsのすべてのリールと動画を閲覧できます。あなたの視聴活動は完全にプライベートです。ハッシュタグを検索して、トレンドコンテンツをすぐに探索開始できます。

パフォーマンス分析

12リールの分析

✅ 中程度の競争

💡 トップ投稿は平均1.0M回の再生(平均の2.9倍)

週3-5回、活動時間に定期的に投稿

コンテンツ作成のヒントと戦略

🔥 #Data Setsは高いエンゲージメント可能性を示す - ピーク時に戦略的に投稿

✍️ ストーリー性のある詳細なキャプションが効果的 - 平均長572文字

📹 #Data Setsには高品質な縦型動画(9:16)が最適 - 良い照明とクリアな音声を使用

✨ 多くの認証済みクリエイターが活動中(50%) - コンテンツスタイルを研究

#Data Sets に関連する人気検索

🎬動画愛好家向け

Data Sets ReelsData Sets動画を見る

📈戦略探求者向け

Data Setsトレンドハッシュタグ最高のData Setsハッシュタグ

🌟もっと探索

Data Setsを探索#epstein files video data set 1#data saver setting#google data privacy settings#uchicago common data set#chatgpt export data settings data controls#chatgpt data privacy settings#instagram data control settings#epstein files pdf data set 2