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---
title: "Free Resources"
description: |
A collection of free resources designed to aid your journey in data engineering and analytics.
A collection of free resources designed to aid your journey in data engineering, analytics, and AI.
---

## Data Engineering Training

- [IBM Data Engineering Basics for Everyone on edX](https://www.edx.org/learn/data-engineering/ibm-data-engineering-basics-for-everyone)
- [Google Cloud Data Engineering Path](https://www.cloudskillsboost.google/paths/16)
- [Meta Database Engineer Professional Certificate on Coursera](https://www.coursera.org/professional-certificates/meta-database-engineer)
- [Big Data Specialization by UC San Diego on Coursera](https://www.coursera.org/specializations/big-data)
- [Data Engineering Zoomcamp on GitHub](https://github.com/DataTalksClub/data-engineering-zoomcamp)
- [IBM Data Engineering Basics for Everyone on edX](https://www.edx.org/learn/data-engineering/ibm-data-engineering-basics-for-everyone) - An introductory course to data engineering principles offered by IBM on edX.
- [Google Cloud Data Engineering Path](https://www.cloudskillsboost.google/paths/16) - A learning path designed to master data engineering on the Google Cloud Platform.
- [Meta Database Engineer Professional Certificate on Coursera](https://www.coursera.org/professional-certificates/meta-database-engineer) - A professional certification program by Meta on Coursera, focusing on database engineering.
- [Big Data Specialization by UC San Diego on Coursera](https://www.coursera.org/specializations/big-data) - A series of courses by UC San Diego on Coursera, covering big data analysis techniques and tools.
- [Data Engineering Zoomcamp on GitHub](https://github.com/DataTalksClub/data-engineering-zoomcamp) - A free, self-paced data engineering bootcamp hosted on GitHub, covering a range of tools and practices.

## SQL Tutorials and Courses
- [W3 Schools SQL Tutorial](https://www.w3schools.com/sql/default.asp) - A comprehensive tutorial for SQL beginners.
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- [SQL Murder Mystery](https://mystery.knightlab.com/) - Solve a captivating murder case using your SQL skills in this immersive game-like environment. Suitable for beginners.
- [SQL Island](https://sql-island.informatik.uni-kl.de/) - Navigate through an adventure on SQL Island to learn SQL commands. Remember to change the language to English via the hamburger icon.
- [SchemaVerse](https://schemaverse.com/) - A space-based strategy game where you use SQL commands to control your fleet and conquer the universe.
- [Lost at SQL: The SQL Learning Game](https://lost-at-sql.therobinlord.com/) - Enhance your SQL skills through this engaging learning game.
- [Lost at SQL - The SQL Learning Game](https://lost-at-sql.therobinlord.com/) - Enhance your SQL skills through this engaging learning game.

## SQL Practice and Challenges
- [8 Week SQL Challenge](https://8weeksqlchallenge.com/) - Intermediate/Advanced SQL challenges through interactive projects.
Expand Down Expand Up @@ -71,12 +70,12 @@ R is a programming language and environment commonly used for statistical comput
- [Hands-On Programming with R](https://rstudio-education.github.io/hopr/) - Teaches how to perform data analysis with R through practical examples, covering basics to more advanced topics.

## Statistics Lessons on YouTube
- [CrashCourse Statistics](https://www.youtube.com/playlist?list=PL8dPuuaLjXtNM_Y-bUAhblSAdWRnmBUcr): Quick statistics overview.
- [StatQuest - Statistics Fundamentals](https://www.youtube.com/playlist?list=PLblh5JKOoLUK0FLuzwntyYI10UQFUhsY9): Fundamental statistics concepts.
- [CrashCourse Statistics](https://www.youtube.com/playlist?list=PL8dPuuaLjXtNM_Y-bUAhblSAdWRnmBUcr) - Quick statistics overview.
- [StatQuest - Statistics Fundamentals](https://www.youtube.com/playlist?list=PLblh5JKOoLUK0FLuzwntyYI10UQFUhsY9) - Fundamental statistics concepts.

## Data Science Tutorials
- [Data Science for Beginners by Microsoft](https://github.com/microsoft/Data-Science-For-Beginners/tree/main): Beginner-friendly data science materials on GitHub.
- [Harvard CS50's Introduction to Programming with Python](https://youtu.be/nLRL_NcnK-4): Full university course available on YouTube.
- [Data Science for Beginners by Microsoft](https://github.com/microsoft/Data-Science-For-Beginners/tree/main) - Beginner-friendly data science materials on GitHub.
- [Harvard CS50's Introduction to Programming with Python](https://youtu.be/nLRL_NcnK-4) - Full university course available on YouTube.


## Web Scraping with Python
Expand All @@ -90,7 +89,7 @@ Web scraping is a method used to extract data from websites. Python offers sever
- [freeCodeCamp Web Scraping Python Tutorial](https://www.freecodecamp.org/news/web-scraping-python-tutorial-how-to-scrape-data-from-a-website/) - A comprehensive guide on how to scrape data from a website using Python.
- [GeeksforGeeks Python Web Scraping Tutorial](https://www.geeksforgeeks.org/python-web-scraping-tutorial/) - Offers a tutorial on web scraping using Python, covering basics to advanced topics.
- [Beautiful Soup Web Scraper Python - Real Python](https://realpython.com/beautiful-soup-web-scraper-python/) - A tutorial that explains how to use Beautiful Soup for web scraping effectively.
- [Python Web Scraping: A Practical Introduction - Real Python](https://realpython.com/python-web-scraping-practical-introduction/) - Provides a practical introduction to web scraping using Python, including setting up your environment and parsing HTML.
- [Python Web Scraping - A Practical Introduction - Real Python](https://realpython.com/python-web-scraping-practical-introduction/) - Provides a practical introduction to web scraping using Python, including setting up your environment and parsing HTML.

## Portfolio Building Resources

Expand All @@ -117,7 +116,7 @@ Building a professional portfolio is crucial for showcasing your skills and proj

## Specialized Topics in Data Science
- [Learning from Data – California Institute of Technology & UCBerkeley](http://work.caltech.edu/telecourse) - Focus on machine learning and data analysis.
- [Process Mining: Data Science in Action @TUEindhoven](https://www.coursera.org/course/procmin) - Specialized course on process mining techniques.
- [Process Mining - Data Science in Action @TUEindhoven](https://www.coursera.org/course/procmin) - Specialized course on process mining techniques.
- [Pattern Discovery in Data Mining @UoIllinois](https://www.coursera.org/course/patterndiscovery) - Course on discovering patterns in datasets.
- [Introduction to Data Mining @MIT](http://ocw.mit.edu/courses/sloan-school-of-management/15-062-data-mining-spring-2003/lecture-notes/) - Lecture notes and materials on data mining concepts.
- [Mining Massive Datasets @Stanford](https://www.coursera.org/course/mmds) - Advanced course on dealing with massive datasets.
Expand All @@ -130,12 +129,12 @@ Building a professional portfolio is crucial for showcasing your skills and proj
- [Elements of Statistical Learning by Hastie, Tibshirani, and Friedman](https://hastie.su.domains/ElemStatLearn/)
- [Pattern Recognition and Machine Learning by Bishop](https://www.microsoft.com/en-us/research/publication/pattern-recognition-machine-learning/)
- [Mathematics for Machine Learning by Deisenroth, Faisal, Soon Ong](https://mml-book.github.io/)
- [Machine Learning: a Probabilistic Perspective by Murphy](https://probml.github.io/pml-book/book0.html)
- [Probabilistic Machine Learning: An Introduction by Murphy](https://probml.github.io/pml-book/book1.html)
- [Machine Learning - a Probabilistic Perspective by Murphy](https://probml.github.io/pml-book/book0.html)
- [Probabilistic Machine Learning - An Introduction by Murphy](https://probml.github.io/pml-book/book1.html)

## Programming for Data Science
- [Python for Data Science](https://cognitiveclass.ai/courses/python-for-data-science/) - Course by Cognitive Class on using Python for data science tasks.
- [Data Science: R Basics - Harvard University](https://online-learning.harvard.edu/course/data-science-r-basics) - Introduction to using R for data science.
- [Data Science - R Basics - Harvard University](https://online-learning.harvard.edu/course/data-science-r-basics) - Introduction to using R for data science.

## Online Learning Platforms and Resources
- [Cognitive Class](https://cognitiveclass.ai/learn) - Interactive platform offering courses on data science and AI.
Expand All @@ -155,46 +154,46 @@ Building a professional portfolio is crucial for showcasing your skills and proj
- [SeattleDataGuy’s Newsletter](https://seattledataguy.substack.com/) - Learn About End-To-End Data Flows (Data Engineering, MLOps, and Data Science)

## Training and Internships
- [The Sparks Foundation](https://www.linkedin.com/company/the-sparks-foundation/): A remote one-month internship in Data Science and Business Analytics.
- [For The Women Foundation](https://www.ftwfoundation.org/): FTW is a nonprofit organization
- [The Sparks Foundation](https://www.linkedin.com/company/the-sparks-foundation/) - A remote one-month internship in Data Science and Business Analytics.
- [For The Women Foundation](https://www.ftwfoundation.org/) - FTW is a nonprofit organization
providing free data science and technology training for women

## Online Learning Platforms
* [Dataquest](https://www.datacamp.com)
* [Datacamp](https://www.dataquest.io)
* [Codecademy](https://www.codecademy.com)
* [SoloLearn](https://www.sololearn.com)
* [W3Schools](https://www.w3schools.com)
* [Khan Academy](https://www.khanacademy.org)
* [Coursera](https://www.coursera.org)
* [edX](https://www.edx.org)
* [freeCodeCamp](https://www.freecodecamp.org)
* [Udacity](https://www.udacity.com)
* [The Odin Project](https://www.theodinproject.com)
* [Mozilla Developer Network (MDN)](https://developer.mozilla.org)
* [Kaggle](https://www.kaggle.com)
- [Dataquest](https://www.datacamp.com) - An interactive learning platform focusing on data science and analytics skills.
- [Datacamp](https://www.dataquest.io) - Offers hands-on courses on data science, Python, R, and SQL among others.
- [Codecademy](https://www.codecademy.com) - Provides interactive programming courses across many different technology areas.
- [SoloLearn](https://www.sololearn.com) - A mobile-first platform offering courses on a wide array of programming languages.
- [W3Schools](https://www.w3schools.com) - A comprehensive resource for learning web development technologies and languages.
- [Khan Academy](https://www.khanacademy.org) - Free online courses in various subjects, including computer programming.
- [Coursera](https://www.coursera.org) - Online courses, specializations, and degrees from universities and educational institutions.
- [edX](https://www.edx.org) - Access to online university-level courses in a wide range of disciplines.
- [freeCodeCamp](https://www.freecodecamp.org) - An open-source community providing free coding bootcamp and certifications.
- [Udacity](https://www.udacity.com) - Specializes in technology courses that offer Nanodegrees and certifications.
- [The Odin Project](https://www.theodinproject.com) - A free coding curriculum that provides a complete path to web development.
- [Mozilla Developer Network (MDN)](https://developer.mozilla.org) - Documentation and learning resources for web developers by Mozilla.
- [Kaggle](https://www.kaggle.com) - A platform for predictive modelling and analytics competitions and datasets.

## Cloud Resources

- [AWS Training and Certification](https://aws.amazon.com/training/): Training and certification resources for Amazon Web Services.
- [Google Cloud Training](https://cloud.google.com/training): Training resources for Google Cloud Platform.
- [Microsoft Learn](https://docs.microsoft.com/en-us/learn/): Learning resources for Microsoft technologies, including Azure.
- [Cloud Free Tier Comparison](https://github.com/ogbinar/DataEngineeringPilipinas/tree/main/content/Cloud-Free-Tier-Comparison): Articles comparing free tier offers from AWS, Azure, GCP, and Oracle Cloud.
- [AWS Training and Certification](https://aws.amazon.com/training/) - Training and certification resources for Amazon Web Services.
- [Google Cloud Training](https://cloud.google.com/training) - Training resources for Google Cloud Platform.
- [Microsoft Learn](https://docs.microsoft.com/en-us/learn/) - Learning resources for Microsoft technologies, including Azure.
- [Cloud Free Tier Comparison](https://github.com/ogbinar/DataEngineeringPilipinas/tree/main/content/Cloud-Free-Tier-Comparison) - Articles comparing free tier offers from AWS, Azure, GCP, and Oracle Cloud.

## Open Courseware
- [Data Analysis with R](https://andrewproctor.github.io/rcourse/)
- [Data Engineering Zoomcamp](https://dezoomcamp.streamlit.app/)
- [Data Science in a Box w/ R](https://datasciencebox.org/)
- [The Open Source Data Science Masters](https://datasciencemasters.org/)
- [Fast.ai Courses](https://course.fast.ai/)
- [Dive into Deep Learning](https://d2l.ai/index.html)
- [GIS Programming Roadmap on GitHub](https://github.com/petedannemann/GIS-Programming-Roadmap/blob/master/README.md)
- [Data Analysis with R](https://andrewproctor.github.io/rcourse/) - Comprehensive R course for data analysis.
- [Data Engineering Zoomcamp](https://dezoomcamp.streamlit.app/) - Free, self-paced online course on data engineering.
- [Data Science in a Box w/ R](https://datasciencebox.org/) - Curriculum for teaching and learning data science using R.
- [The Open Source Data Science Masters](https://datasciencemasters.org/) - Curriculum for a self-taught education in data science.
- [Fast.ai Courses](https://course.fast.ai/) - Practical deep learning for coders, taught by fast.ai.
- [Dive into Deep Learning](https://d2l.ai/index.html) - An interactive deep learning book with code, math, and discussions.
- [GIS Programming Roadmap on GitHub](https://github.com/petedannemann/GIS-Programming-Roadmap/blob/master/README.md) - A roadmap for learning GIS programming.

## Open Books

### Data Science and R Programming
- [R for Data Science](https://r4ds.had.co.nz/) - Learn data science with R.
- [Data Science: R Basics](https://rafalab.dfci.harvard.edu/dsbook/) - Foundation of data science in R.
- [Data Science - R Basics](https://rafalab.dfci.harvard.edu/dsbook/) - Foundation of data science in R.
- [R Graphics Cookbook](https://ggplot2-book.org/index.html) - Data visualization with ggplot2 in R.
- [Geocomputation with R](https://r-spatial.org/book/) - Spatial data analysis with R.
- [Exploratory Data Analysis with R](https://bookdown.org/rdpeng/exdata/) - Techniques for EDA using R.
Expand All @@ -207,7 +206,7 @@ providing free data science and technology training for women
- [Modern Polars](https://kevinheavey.github.io/modern-polars/) - Using Polars library in Python for data manipulation.

### Visualization and Web Scraping
- [Data Visualization: A Practical Introduction](https://socviz.co/index.html?#preface) - Introduction to data visualization.
- [Data Visualization - A Practical Introduction](https://socviz.co/index.html?#preface) - Introduction to data visualization.
- [Web Scraping with R](https://steviep42.github.io/webscraping/book/) - Techniques for web scraping using R.
- [Interactive Data Visualization](https://jjallaire.github.io/visualization-curriculum/) - Learning interactive data visualization.

Expand All @@ -227,6 +226,18 @@ providing free data science and technology training for women
### Miscellaneous
- [Open Books by Open UMN](https://open.umn.edu/opentextbooks) - Free educational textbooks, including data science and statistics.
- [Pandas for Everyone](https://wesmckinney.com/book/) - Comprehensive guide to using Pandas for data analysis.
- [Saylor Academy](https://saylor.org) - Free and open online courses for people everywhere.
- [Goalkicker - Programming Notes for Professionals](https://goalkicker.com/) - Free programming books on various topics.
- [Python Programming Tutorials](https://pythonprogramming.net/) - Comprehensive resource for learning Python.
- [Scratch - Imagine, Program, Share](https://scratch.mit.edu/) - Create stories, games, and animations.
- [Waggle Dance](https://electrichive.github.io/waggledance/) - An interactive Python tutorial.
- [Invent with Python](https://inventwithpython.com/) - Books for learning Python with a focus on making things.
- [Open Source Society University - Computer Science](https://github.com/ossu/computer-science) - Path to a free self-taught education in Computer Science.
- [Learn Python the Hard Way - Free eBook Download](https://learntocodetogether.com/learn-python-the-hard-way-free-ebook-download/) - A book for learning Python programming.
- [Data Analysis with Python - Spring 2020](https://csmastersuh.github.io/data_analysis_with_python_spring_2020/) - University of Helsinki’s course on Python for data analysis.
- [Exercism](https://exercism.org/) - Code practice and mentorship for everyone.
- [Git and GitHub Tutorial for Beginners](https://product.hubspot.com/blog/git-and-github-tutorial-for-beginners) - Introduction to Git and GitHub.
- [RStudio - Books](https://www.rstudio.com/resources/books/) - Resources for learning R programming.

## Formal Education

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- [Backend Development Roadmap](https://roadmap.sh/backend) - A guide for becoming a Backend Developer.
- [AI & Data Scientist Roadmap](https://roadmap.sh/ai-data-scientist) - A comprehensive path for aspiring AI and Data Scientists.

### <a href="content/data-engineering-101.qmd">Read more about Data Engineering 101</a>
### <a href="content/data-engineering-101.qmd">Read more about Data Engineering 101</a>

## What does a career in data look like?
Below is an on-going project to propose a professional skills framework for data, analytics, and AI careers in the Philippines.

- [Proposed Professional Skills Framework ANALYTICS & ARTIFICIAL INTELLIGENCE](https://psf-aai.vercel.app/)

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