If you're starting out in a data-related field, whether as a Data Analyst, Data Scientist, Business Intelligence, or AI Developer, it's crucial to gain hands-on experience working with real data to develop a deeper understanding of the data world
This article compiles a list of free downloadable open data sources, along with usage examples, to help you practice data analysis, create dashboards, or develop AI models
1. Kaggle Datasets – A popular training resource
Popular data sources in the field of Data Science
- There are thousands of datasets to choose from, covering all categories such as economics, sports, medicine, NLP, images, and sound
- There are examples of notebooks from users around the world that you can study and adapt
- Supports Python via the Kaggle Kernel without requiring any software installation
- Ideal for practicing Python, Pandas, scikit-learn, and performing Exploratory Data Analysis (EDA)
Link: https://www.kaggle.com/datasets
2. UCI Machine Learning Repository – A classic dataset of ML (Machine Learning) series
A long-standing source of information used to teach ML worldwide
- The simple data structure is suitable for practicing classification, regression, and clustering
- There are classic datasets suitable for experimenting with basic algorithms such as KNN and Decision Trees
Link: https://archive.ics.uci.edu/ml/index.php
3. Google Dataset Search
Global Dataset Search Tool
- Search for datasets from various sources such as universities, government agencies, and international organizations
- Suitable for specialized research or projects such as "Thailand traffic data" or "urban air quality"
Link: https://datasetsearch.research.google.com
4. Awesome Public Datasets (GitHub)
A categorized list of information sources
- Categorized by type, such as energy, medicine, economics, and geography
- Includes links from global sources such as the IMF, WHO, NASA, Harvard, and the UN
- Suitable for students, researchers, and those in policy analysis
Link: https://github.com/awesomedata/awesome-public-datasets
5. Open Data sources in Thai
Thai government open data centers, such as those for public health, population, and education
Link: https://data.go.th
National Statistics Office (NSO)
There is data available on population, households, income, and labor
Link: https://www.nso.go.th
Bank of Thailand (BOT)
Economic data such as interest rates, exchange rates, and financial reports
Link: https://data.bot.or.th
GISTDA Data Portal
Geospatial information, satellite imagery, floods, disasters
Link: https://data.gistda.or.th
How to start training (for beginners)
- Choose a dataset that interests you, such as Netflix or Titanic
- Open it in Excel or Google Sheets to see what each column represents
- Write the problem statement, for example, "Find the relationship between factors A and B."
- Practice summarizing data, creating graphs, using formulas, or writing Python/SQL
- Save your work as a portfolio or share it on GitHub / LinkedIn
summarize
Data analysis is a skill that can be learned through practice. Hands-on experience with real data provides a deeper understanding than theory alone. Don't wait for work projects; start today with the vast array of free datasets available worldwide
Additional tip: Try practicing with topics you're interested in, such as movies, sports, games, or economics. This will help you learn in a fun and engaging way.
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