Datasets Name: Leukemia Classification

Datasets Name: Sign Language Detection using Images

Datasets Name: Football Player Detection YOLOv8

Datasets Name: Amazon Reviews Data 2023

Datasets Name: Gold Price & Relevant Metrics

Datasets Name: Ad Click Prediction Dataset

Datasets Name: Health and sleep statistics

🚨30 FREE Dataset Sources for Data Science Projects🔥

Data Simplifier: https://datasimplifier.com/best-data-analyst-projects-for-freshers/

US Government Dataset: https://www.data.gov/

Open Government Data (OGD) Platform India: https://data.gov.in/

The World Bank Open Data: https://data.worldbank.org/

Data World: https://data.world/

BFI - Industry Data and Insights: https://www.bfi.org.uk/data-statistics

The Humanitarian Data Exchange (HDX): https://data.humdata.org/

Data at World Health Organization (WHO): https://www.who.int/data

FBI’s Crime Data Explorer: https://crime-data-explorer.fr.cloud.gov/

AWS Open Data Registry: https://registry.opendata.aws/

FiveThirtyEight: https://data.fivethirtyeight.com/

IMDb Datasets: https://www.imdb.com/interfaces/

Kaggle: https://www.kaggle.com/datasets

UCI Machine Learning Repository: https://archive.ics.uci.edu/ml/index.php

Google Dataset Search: https://datasetsearch.research.google.com/

Nasdaq Data Link: https://data.nasdaq.com/

Recommender Systems and Personalization Datasets: https://cseweb.ucsd.edu/~jmcauley/datasets.html

Reddit - Datasets: https://www.reddit.com/r/datasets/

Open Data Network by Socrata: https://www.opendatanetwork.com/

Climate Data Online by NOAA: https://www.ncdc.noaa.gov/cdo-web/

Azure Open Datasets: https://azure.microsoft.com/en-us/services/open-datasets/

IEEE Data Port: https://ieee-dataport.org/

Wikipedia: Database: https://dumps.wikimedia.org/

BuzzFeed News: https://github.com/BuzzFeedNews/everything

Academic Torrents: https://academictorrents.com/

Yelp Open Dataset: https://www.yelp.com/dataset

The NLP Index by Quantum Stat: https://index.quantumstat.com/

Computer Vision Online: http://www.computervisiononline.com/dataset

Visual Data Discovery: https://www.visualdata.io/

Roboflow Public Datasets: https://public.roboflow.com/

Computer Vision Group, TUM: https://vision.in.tum.de/data/datasets

Data Analytics Projects for Beginners 👇


Web Scraping
https://github.com/shreyaswankhede/IMDb-Web-Scraping-and-Sentiment-Analysis

Product Price Scraping and Analysis
https://github.com/CodesdaLu/Web-Scrapping

News Scraping
https://github.com/rohit-yadav/scraping-news-arti Les

IPL Analysis
https://github.com/Yashmenaria1/IPL-Data-Exploration

Customer Churn Prediction
https://github.com/Pradnya1208/Telecom-Customer-Churn-prediction

Employee’s Performance for HR Analytics
https://www.kaggle.com/code/rajatraj0502/employee-s-performance-for-hr-analytics

Food Price Prediction
https://github.com/VectorInstitute/foodprice-forecasting

Join for more: https://news.1rj.ru/str/sqlproject

Top 10 Datasets for your next SQL Project 👇👇
https://medium.com/mr-plan-publication/top-10-datasets-for-your-next-sql-project-b3925f471147

Like for more ❤️

To transition from Data Analyst ➡️ Data Scientist, you will have to focus on building relevant projects! 🎯

✅ Predictive Analytics Project
→ Built a model to predict customer behaviour by analyzing past purchase patterns and used time series forecasting to predict future trends.

✅ Sentiment Analysis using NLP
→ Developed a sentiment analysis model that categorized customer feedback into positive, neutral, and negative sentiments to improve products.

✅ Personalized Recommendation Engine
→ Created a recommendation engine using collaborative and content-based filtering to give personalized suggestions based on user’s browsing history and preferences.

Tailor every project to focus on business impact and user experience, which can help you stand out to recruiters. 💪🏻

Knowing the tools won't be enough to become a master of data analytics!

See if your soft skills are worthy of the rank of master:

1. 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Can you translate your findings into easily digestible insights for non-technical stakeholders?

2. 𝗣𝗿𝗼𝗯𝗹𝗲𝗺-𝗦𝗼𝗹𝘃𝗶𝗻𝗴: Is your work focused on solving actual business problems, and are you able to pick the most efficient approach to solve them?

3. 𝗦𝘁𝗮𝗸𝗲𝗵𝗼𝗹𝗱𝗲𝗿 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Are you building strong relationships with your stakeholders, understanding their needs, and providing them with regular updates?

4. 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: The data landscape is constantly changing. Are you keeping up with new tools and trends?

5. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁/𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Are you aware of the life cycle of your data products? Do you have a structured approach to plan, prioritize, and track your work?

6. 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗰𝘂𝗺𝗲𝗻: Can you understand the language and needs of the business and put your data work into context?

7. 𝗗𝗼𝗺𝗮𝗶𝗻 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲: Do you know the processes, products, and challenges of your domain?


If you want to earn the rank of master in the data field, start working on your soft skills now.

7 Free Datasets to create your next data analytics project 👇👇
https://medium.com/@data_analyst/free-data-sources-to-create-data-analytics-projects-2fd8fd6eadd3