563.5K
CHThe best projects serve a real use case
Comment “data” for all the links and project descriptions
#tech #data #datascience #ml #explore
@chrisoh.zip
#Data Project
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MAComment 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
@maggieindata
160.6K
JEComment “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!
Save this video for later + send to a data friend!
#data #dataanalytics #project
🏷️ data analytics, data analytics project, data project, dataset
@jessramosdata
498.4K
SD🟠Comment '30' and I'll send you data project tutorials on YouTube I made for you🟠
@sdw.online
161.6K
DA60 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!
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#datascience #machinelearning #python #ai #dataanalytics #artificialintelligence #deeplearning #bigdata #agenticai #aiagents #statistics #dataanalysis #datavisualization #analytics #datascientist #neuralnetworks #100daysofcode #genai #llms #datasciencebootcamp #dataengineer
@datasciencebrain
14.5K
ASThis is the EXACT order I would learn Data Science in 2026.
Hi 😊 my name is Dawn. I’ve been a Data Scientist at Meta, Patreon and other startups. And have coached 20+ clients into landing their dream Data jobs in the past year.
1️⃣ Learn SQL
SQL is a must-have skill for every data professional because it’s the primary way you get data OUT of a database.
It’s also a very easy coding language to learn, so I would start there.
Use Interview Master to learn and practice SQL (link in bio):
→ Learn SQL: www.interviewmaster.ai/content/sql
→ Practice SQL: www.interviewmaster.ai/home
2️⃣ Start building Product Sense & Business Sense
Product sense & business sense basically means you know how to use Data to solve real problems.
I would start building this “soft” skill early because (1) it takes time to really learn this, and (2) as you’re learning Stats and Python, you already have context on how these might be used in the real world.
I found the book: Cracking the PM Career to be super helpful before I landed my first Data Science job.
3️⃣ Learn Statistics
How much Stats do you need for Data Science? Just the foundations, but you need to know it really really well.
→ Descriptive statistics
→ Common distributions
→ Probability and Bayes’ Theorem
→ Basic Machine Learning models
→ Experimentation concepts
→ A/B experiment design
Check out Stanford’s Introduction to Statistics, which is free on Coursera.
4️⃣ Learn Python
Python is the #1 skill for Data Scientists in 2025, but I put it 4th on this list because I find that it builds on skills 1-3.
I learned Python on my own using DataCamp’s Python Data Fundamentals (link in bio).
5️⃣ Use AI-assisted coding tools
Many data scientists are already using tools, like Claude Code & Cursor, to 2x their productivity.
And also many companies are evaluating you on your use of AI during interviews.
#datascience #datascientist
@askdatadawn
2.5M
PR1. Netflix Show Clustering
Group similar shows using K-Means based on genre, rating, and duration.
Tech Stack: Python, Pandas, Scikit-learn, Seaborn
2. Spotify Audio Feature Analyzer
Analyze songs by tempo, energy and danceability using Spotify API.
Tech Stack: Python, Spotipy, Matplotlib, Plotly
3. YouTube Trending Video Analyzer
Discover what makes a video go viral.
Tech Stack: Python, Pandas, BeautifulSoup, Seaborn
4. Resume Scanner using NLP
Parse and rank resumes based on job description matching.
Tech Stack: Python, SpaCy, NLTK, Streamlit
5. Crypto Price Predictor
Predict BTC/ETH prices using historical data.
Tech Stack: Python, LSTM (Keras), Pandas, Matplotlib
6. Instagram Hashtag Recommender
Suggest hashtags based on image captions or niche.
Tech Stack: Python, NLP, TF-IDF, Cosine Similarity
7. Reddit Sentiment Tracker
Analyze community sentiment on hot topics using Reddit API.
Tech Stack: Python, PRAW, VADER, Plotly
8. AI Job Postings Dashboard
Scrape and visualize job trends by tech stack and location.
Tech Stack: Python, Selenium/BeautifulSoup, Streamlit
9. Airbnb Price Estimator
Predict listing prices based on location and amenities.
Tech Stack: Python, Scikit-learn, Pandas, XGBoost
10. Food Calorie Image Classifier
Estimate calories from food images using CNNs.
Tech Stack: Python, TensorFlow/Keras, OpenCV
Each project can be completed in 1-2 weekends.
#datascience #machinelearning #womeninstem #learningtogether #progresseveryday #tech #consistency #projects
@priyal.py
204.7K
DA5 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
@datawithsai
589.6K
DE“Projects” shows ur expertise!!🔥💯
#dataanalyst #dataanalytics #dataanalystjobs #dataproject #dataprojects #resumeprojects #dataanalysistraining #portfolioproject #careergrowth #explore #explorepage #fyp #fypage #careerguidance #careerindataanalytics #powerbi #excel #careeropportunities #careertips #careerdevelopment
@deepanshu_o7
108.9K
EM3 data science projects you can do in a weekend.
If you’re learning data science, one of the best ways to improve is by working through real examples.
Here are three Kaggle notebooks you can explore:
• Loan Prediction – predicting whether a loan gets approved based on applicant data.
• Bank Churn – analyzing which customers are likely to leave a bank.
• House Price Prediction – estimating house prices from property features.
You can study the notebooks and also try solving the same problems yourself using the same datasets.
It’s a great way to practice and see different ways people approach the same problem.
Comment “DATA” and I’ll send you the notebooks.
#coding #datascience #university
@emrcodes
224.8K
CHComment “DATA” for all projects & links!
#coding #datascience #machinelearning #university #student
@chrispathway
105.2K
MIIf I were building a data analytics portfolio in 2026, these are the 3 projects I’d make sure to include 👇
An EDA project to show you can explore data, find patterns, and communicate insights clearly.
A full-stack analytics project that proves you can take messy raw data → clean it → analyze it → and turn it into dashboards and KPIs using tools like SQL and BI platforms.
And a funnel analysis that shows you actually understand the business side of data — identifying where users drop off and turning that into real product or marketing insights.
Save this for when you start building your portfolio.
Follow @migratemate for international student career tips that actually help you land jobs. 🚀
@migratemate
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