#Data Project

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#Data Project 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 Project 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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@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 Project Reel by @maggieindata (verified account) - Comment PROJECT to access my step-by-step Python tutorial that anyone can follow to build your very first geospatial dashboard web app! 🌍📊

A good n
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@maggieindata
Comment PROJECT to access my step-by-step Python tutorial that anyone can follow to build your very first geospatial dashboard web app! 🌍📊 A good number of portfolio projects is 3–5, and the types of projects you choose should reflect the kind of data role you’re going after. A data analyst portfolio should look very different from a machine learning engineer one. Even within data science, a product/decision data scientist portfolio should focus on A/B testing and metrics storytelling—while an algorithm data scientist portfolio might highlight modeling and experimentation. ✨ Especially if you’re building your very first project, prioritize: 🌱 Real-world messiness (not polished Kaggle sets) 🌱 Business context and decision-making 🌱 Clear documentation (what you did and why) 🌱Visuals to help your work stand out No one’s asking for perfection—they want to see how you think. #datascienceportfolio #dataanalyst #learnpython #codingjourney #techcareers
#Data Project Reel by @sdw.online (verified account) - 🟠Comment '30' and I'll send you data project tutorials on YouTube I made for you🟠
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@sdw.online
🟠Comment '30' and I'll send you data project tutorials on YouTube I made for you🟠
#Data Project Reel by @codeandcrush - 🚨 Most Data Portfolios Are Just… Noise! 🚨
❌ Random charts for the sake of charts
❌ No real context
❌ Zero business value

So I fixed that. 💡

📦 I
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@codeandcrush
🚨 Most Data Portfolios Are Just… Noise! 🚨 ❌ Random charts for the sake of charts ❌ No real context ❌ Zero business value So I fixed that. 💡 📦 I put together something game-changing: ✅ 80+ Real Project Ideas ✅ Sorted by Industry (E-commerce, Finance, Healthcare, AI, Web3 & more) ✅ The kind of work that actually gets you HIRED 💼 🔥 This is your roadmap if you’ve been stuck wondering “What project should I build?” 💬 Want access? Feel free to DM me “Project” and I’ll send you the details! 📌 Save this so you don’t lose it 💬 Comment your dream industry 📤 Share with a friend stuck in “what to build” mode ❤️ Like if this inspired you 🔖 Hashtags: #dataanalytics #portfolioprojects #datascience #sql #powerbi #dataanalyst #analyticscareer #dataportfolio #machinelearningprojects #aiprojects #dashboarddesign #careerindata #instagrampost #trendings #trendingreels❤️ #fvpシ❤️💞❤️
#Data Project Reel by @datasciencebrain (verified account) - 60 Unique Data Science Project Ideas Also see 👇
Top Places to Grab Public Datasets
Kaggle Datasets
Google Dataset Search
Hugging Face Datasets Hub
UC
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@datasciencebrain
60 Unique Data Science Project Ideas Also see 👇 Top Places to Grab Public Datasets Kaggle Datasets Google Dataset Search Hugging Face Datasets Hub UCI Machine-Learning Repository AWS Open Data Registry Microsoft Research Open Data BigQuery Public Datasets (Google Cloud) Data.gov (USA) data.gov.in (India) World Bank Open Data IMF Data Portal Eurostat Open Data FiveThirtyEight GitHub Awesome-Public-Datasets (GitHub) OpenML Zenodo Figshare PapersWithCode → Datasets Quandl Registry of Open Data on Azure Special Benefits for Our Instagram Subscribers 🔻 ➡️ Free Resume Reviews & ATS-Compatible Resume Template ➡️ Quick Responses and Support ➡️ Exclusive Q&A Sessions ➡️ Data Science Job Postings ➡️ Access to MIT + Stanford Notes ➡️ Full Data Science Masterclass PDFs ⭐️ All this for just Rs.45/month! . . . . . . . #datascience #machinelearning #python #ai #dataanalytics #artificialintelligence #deeplearning #bigdata #agenticai #aiagents #statistics #dataanalysis #datavisualization #analytics #datascientist #neuralnetworks #100daysofcode #genai #llms #datasciencebootcamp #dataengineer
#Data Project Reel by @rajatjain.dataanalytics - Comment "projects" to get the links in your DMs!🚀
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[Data analytics, data analyst, projects, career, data analytics career]
#dataanalytics #dataana
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@rajatjain.dataanalytics
Comment "projects" to get the links in your DMs!🚀 . . [Data analytics, data analyst, projects, career, data analytics career] #dataanalytics #dataanalyst #careertips #project #datascience #guide
#Data Project Reel by @datawithsai (verified account) - 5 Data Analyst Projects That Can Get You Hired (With Tutorials)

Most portfolios are filled with the same boring projects everyone else does. These fi
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@datawithsai
5 Data Analyst Projects That Can Get You Hired (With Tutorials) Most portfolios are filled with the same boring projects everyone else does. These five stand out because they solve real business problems and show recruiters you can think, not just code. Here are the 5 projects: 1. Sales Data Dashboard Build an interactive dashboard analyzing sales trends, revenue by region, and product performance using Excel, Power BI, or Tableau 📎 Tutorial: https://www.youtube.com/watch?v=fZn83JRt4Nk 2. Customer Segmentation Analysis Use Python and K-means clustering to segment customers based on behavior and create targeted marketing strategies 📎 Tutorial: https://365datascience.com/tutorials/python-tutorials/build-customer-segmentation-models/ 3. SQL Database Analysis Query and analyze customer purchase patterns, retention rates, and lifetime value using SQL 📎 Tutorial: https://www.geeksforgeeks.org/sql/customer-behavior-analysis-in-sql/ 4. Time Series Forecasting Predict future sales or trends using Python with ARIMA or Prophet models to demonstrate forecasting skills 📎 Tutorial: https://www.digitalocean.com/community/tutorials/a-guide-to-time-series-forecasting-with-prophet-in-python-3 5. A/B Testing Framework Design and analyze an A/B test to optimize website conversions or marketing campaigns using statistical testing 📎 Tutorial: https://www.kdnuggets.com/a-complete-guide-to-a-b-testing-in-python These aren't just tutorials you follow. They're projects that demonstrate real business impact, clean code, and the ability to communicate insights. Recruiters check GitHub. Make sure yours has well-documented projects that show practical impact, not just technical skills. Save this and start building. [dataanalyst, data, analyst, analytics, portfolio, projects, SQL, python, powerbi, tableau, excel, dashboard, visualization, forecasting, machinelearning, career, job, hired, beginner, tutorial, github, skills, business, insights, statistics, segmentation, testing, resume] #dataanalyst #dataanalysis #portfolio #projects
#Data Project Reel by @datawithashok (verified account) - ❌ 50 projects ki zarurat nahi hoti
✅ Sirf 3 REAL-WORLD projects are more than enough to become a Data Analyst

If you can explain business problem → d
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@datawithashok
❌ 50 projects ki zarurat nahi hoti ✅ Sirf 3 REAL-WORLD projects are more than enough to become a Data Analyst If you can explain business problem → data → insight → impact, recruiters listen. 📌 These are the 3 projects I recommend to EVERY analyst: 🏥 Healthcare Analytics Predicting hospital readmissions for diabetes patients 📊 Dataset: UCI ML Repository 🛍 Retail & Marketing Analytics Customer segmentation & growth strategy 📈 Dataset: Kaggle (Retail Sales + Marketing Trends) 💰 Financial Operations Analytics Revenue forecasting, churn & profitability analysis 📉 Dataset: Kaggle – Brazilian E-Commerce (Olist) Build these properly and you’ll stand out from 90% of applicants. 💬 Comment PROJECT if you want full roadmap & execution strategy 🔖 Save this reel! you will need it later!!
#Data Project Reel by @penelope_data - 9 data projects ideas instead of doomscrolling:

(And there is a repo with the data :) )

🤖 Machine Learning Projects
* Diabetes Classification
Build
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@penelope_data
9 data projects ideas instead of doomscrolling: (And there is a repo with the data :) ) 🤖 Machine Learning Projects * Diabetes Classification
Build and compare classification models to show how data preprocessing, feature scaling, and hyperparameter tuning directly improve predictive performance. * Heart Attack Prediction
Implement an end-to-end classification pipeline—from raw data to model evaluation—to demonstrate a realistic machine learning workflow. * Medical Cost Prediction
Train a regression model to predict healthcare costs, emphasizing feature importance analysis and model optimization to explain what drives predictions. 🛠️ Data Engineering Projects * NBA Player Statistics ETL Pipeline
Design an ETL pipeline that extracts player statistics, cleans and transforms the data, and stores it in a relational database for reliable downstream analysis. * Real-Time & Batch Data Pipelines with Kafka
Build a scalable pipeline that processes streaming and batch data using Kafka, PostgreSQL, and Docker to demonstrate modern data flow architecture. * Glassdoor Job Data Pipeline
Scrape job postings, clean and structure the raw data, and prepare it for analysis and visualization to showcase real-world data ingestion challenges. 📊 Data Analytics Projects * Pokémon Dataset Analysis
Perform exploratory data analysis and feature engineering to uncover patterns in Pokémon characteristics such as types, stats, and legendary status. * Automated EDA Tool Comparison
Benchmark AutoViz, SweetViz, and Pandas Profiling across multiple datasets to evaluate performance, resource usage, and practical trade-offs. * Exploratory Job Market Analysis
Analyze cleaned job posting data to extract trends, key skills, and role distributions using visualizations and summary statistics. 👉🏻 Comment « data » to get the link to the repo and portfolio strategies! #data #students #job
#Data Project Reel by @shailjamishra__ - COMMENT " DATA  and I will SEND the entire Data Science PreparationGuide along with "Topics to prepare " in your DM

#microsoft #datascientist #projec
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@shailjamishra__
COMMENT “ DATA and I will SEND the entire Data Science PreparationGuide along with “Topics to prepare “ in your DM #microsoft #datascientist #projects #preparationmaterials #guides
#Data Project Reel by @muskan.khannaa - The projects you build decide whether you get shortlisted or ignored.

A lot of you commented "PROJECT" on my last reel.
So here it is.

If I were swi
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@muskan.khannaa
The projects you build decide whether you get shortlisted or ignored. A lot of you commented “PROJECT” on my last reel. So here it is. If I were switching to data engineering today especially from testing or a non-DE background these are the kinds of projects I’d build. Not random tutorials. Not copy-paste GitHub stuff. Real problems. Real signals. Real interviews. This even covers a project close to testing which helps bridge the gap in the switch to DE. Comment “PROJECT” to get the complete guide in your DM. . . . . . [data engineering projects, switching to data engineering, testing to data engineer, data engineer roadmap, data engineering resume] #dataengineering #dataengineer

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