Awesome-Data-Science

Carefully curated list of awesome data science resources.
https://github.com/natnew/Awesome-Data-Science

Last synced: 2 days ago
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Articles
- 6 Data science trends - An Ebook containing six emerging trends that have the potential to accelerate ML projects and move organisations from descriptive toward predictive and prescriptive analytics. 
- How to create a great data science portfolio - An essential guide on the hallmarks of a great data science portfolio. 
- The data science guide - A comprehensive guide with cases, code samples and notebooks about the Databricks Lakehouse Platform. 
- Data Science Applications - A look at how we can apply data science thinking to different problems. 
- How to show your data science skills - A portfolio guide to help you ensure that you've covered all of the major categories when you are showcasing your data science skills. 
- Blueprint for building a data product business - An article that pulls together several key design templates to create a Data Product Blueprint to help organisations build their data products business. 
- Mapping the world's ecosystems - A Conversation with Roger Sayre, Senior Scientist for Ecosystems at the U.S. Geological Survey. 
- What a big data approach and geospatial tools reveal about human mobility - A look at how mobility studies experts can contextualise and visualise large-scale human movements. 
- Fighting crime with data - A look at how Police Charleroi focuses on the most important and urgent issues, measures its effectiveness over time and keeps stakeholders informed. 
- 6 Data science trends - An Ebook containing six emerging trends that have the potential to accelerate ML projects and move organisations from descriptive toward predictive and prescriptive analytics. 
- Fighting crime with data - A look at how Police Charleroi focuses on the most important and urgent issues, measures its effectiveness over time and keeps stakeholders informed.
Webinars
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Sentiment Analysis and prediction in Python - Justin Saddlemyer delivers a live training session helping you to build machine learning models. (Datacamp, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Sentiment Analysis and prediction in Python - Justin Saddlemyer delivers a live training session helping you to build machine learning models. (Datacamp, 2022) 
- The data science learning journey: How ModelOps fits into the big picture - Catherine Truxill and Peter Christie discuss how using ModelOps effectively can help you make the connection between the insights from your data and the answers you need. (SAS, 2022) 
- The model data team as a team sport - Chia-Liang Kao will discuss why a modern data team is like a team sport, what a modern data team looks like, what data observability is, and give some concrete tips for creating the data dream team. (Cognilytica, 2022) 
- Building a personal brand in data - Kate Strachnyi discusses the importance of showcasing your skills and becoming part of the data community. (Datacamp, 2022) 
- Dzone data pipeline trends: simplify data architectures with an open lake house - Jeremiah Morrow and John Esposito discuss how an open data lakehouse can simplify your data architecture and more. (Dremio, 2022) 
- How to create a data mesh that is right for you - Dr Jennifer Belissent discusses creating data meshes that are right for your organisation. (Snowflake, 2022) 
- How industry cross-collaboration can generate new revenue for Telcos - William Cage discusses how to generate new revenue for telcos. (Snowflake, 2022) 
- Natural Language Processing: Trends, Challenges and Opportunities - Marco Bonzanini gives an overview of the advances, challenges and opportunities in NLP technologies, looking at different modelling solutions and the Python ecosystem. (PyData, 2021) 
- Working with Data in a Connected World - Dr. Clair Sullivan gives a hands-on tutorial that will begin with a discussion comparing querying data in a tabular environment such as SQL or Pandas dataframes. (PyData, 2021) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- The data science learning journey: How ModelOps fits into the big picture - Catherine Truxill and Peter Christie discuss how using ModelOps effectively can help you make the connection between the insights from your data and the answers you need. (SAS, 2022) 
- The model data team as a team sport - Chia-Liang Kao will discuss why a modern data team is like a team sport, what a modern data team looks like, what data observability is, and give some concrete tips for creating the data dream team. (Cognilytica, 2022) 
- Building a personal brand in data - Kate Strachnyi discusses the importance of showcasing your skills and becoming part of the data community. (Datacamp, 2022) 
- How to create a data mesh that is right for you - Dr Jennifer Belissent discusses creating data meshes that are right for your organisation. (Snowflake, 2022) 
- How industry cross-collaboration can generate new revenue for Telcos - William Cage discusses how to generate new revenue for telcos. (Snowflake, 2022) 
- How To Ensure Responsible Use Of AI With A Real-World Example - Tariq Rashid explores an example of an innovative product designed to help the more vulnerable in our communities and discusses how we should ensure it is developed to be safe, fair and ethical. (PyData, 2021) 
- Working with Data in a Connected World - Dr. Clair Sullivan gives a hands-on tutorial that will begin with a discussion comparing querying data in a tabular environment such as SQL or Pandas dataframes. (PyData, 2021) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- K Means algorithm explained in 60 minutes - This Edureka webinar on K-Nearest Neighbor Algorithm or KNN Algorithm will help you to build your base by covering the theoretical, mathematical and implementation parts of the KNN algorithm in Python. (Edureka, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022) 
- Demystifying the cloud journey - Hear from experts from Bloomberg, Confluent and AWS on the cloud-agnostic approach, using Bloomberg data in cloud infrastructure, and connecting to enterprise data via the cloud. (Bloomberg, 2022)
Datasets
- Seaborn data - Data repository for seaborn examples. 
- Plotly data - Plotly sample datasets. 
- Matplotlib data - Sample data needed for some of Matplotlib's examples. 
- Free public data sets for analysis - Free public data sets for analysis. 
- Open Datasets - Explore, analyse and share quality data. 
- Natural Language Toolkit Data - NLTK Corpora datasets. 
- Bokeh Sample Data - The sample data module can be used to download datasets used in Bokeh examples. 
- TensorFlow Data - Tensorflow datasets. 
- Stratsmodel Data - Statsmodels provides datasets (i.e. data and meta-data) for use in examples, tutorials, model testing, etc. 
- Natural Language Toolkit Data - NLTK Corpora datasets. 
- BuzzFeed Data - Free datasets for data analytics. 
- Nasa Earth Data - Full and open access to NASA's collection of Earth science data for understanding and protecting our home planet. 
- Nasa Space Data - Advanced, focused search tools are available from several PDS discipline nodes. 
- Our World in Data - Free data to make progress against the world's largest problems. 
- Bokeh Sample Data - The sample data module can be used to download datasets used in Bokeh examples. 
- TensorFlow Data - Tensorflow datasets. 
- PyDataset Data - Instant access to many popular datasets for Python (in data frame structure). 
- Scikit-learn Data - The sklearn. datasets package embeds some small toy datasets.
Open-Source Project Contribution
- First Contributions - Contribute to open-source projects through First Contributions - A project to simplify and guide the way beginners make their first contribution. 
- Open-source programs and competitions - Contribute to open-source projects through the Open Source programs — a GitHub repository list of resources. 
- Hacktoberfest - Contribute to open-source projects through Hacktoberfest. - A platform to help technical and non-technical people contribute to open-source projects. 
- GitHub - Contribute to open-source projects through GitHub - Find a list of open-source projects. 
- First Timers Only - Contribute to open-source projects through First Timers Only - for the code newbie or experienced coder. 
- Scala - Contribute to open-source projects through Scala - an Open Source platform for learning different technologies based in the Scala Programming Language. 
- Forem - Contribute to open-source projects through Forem - an open-source platform for building modern, independent, and safe communities. 
- GitHub - Contribute to open-source projects through GitHub - Find a list of open-source projects. 
- First Timers Only - Contribute to open-source projects through First Timers Only - for the code newbie or experienced coder. 
- Good First Issues - Contribute to open-source projects through Good first issues - a website primarily targeted at developers who want to contribute to open-source software but do not know where or how to start. 
- CodeTriage - Contribute to open-source projects through Code Triage - Free community tools for contributing to Open Source projects 
- Outreachy - Contribute to open-source projects through Outreachy - an online collaborative environment for learning and remote mentoring with experienced FOSS contributors. 
- Scala - Contribute to open-source projects through Scala - an Open Source platform for learning different technologies based in the Scala Programming Language. 
- Forem - Contribute to open-source projects through Forem - an open-source platform for building modern, independent, and safe communities.
Projects
- 200 python projects for beginners - By Nat (2022) 
- Analyze your personal Netflix data - By DataQuest (2020) 
- Data science projects - By GitHub (2022) 
- Top 10 data science projects in 2022 - By Hackr.io (2022) 
- 14 data science projects from beginner to advanced level - By Udemy(2022) 
- Language translator using Google API in Python - By GeeksForGeeks (2022) 
- 100 python projects for beginners - By Nat (2022) 
- Dataquest: Exploring hacker news posts - By DataQuest (2022) 
- 14 data science projects from beginner to advanced level - By Udemy(2022) 
- Language translator using Google API in Python - By GeeksForGeeks (2022) 
- 100 python projects for beginners - By Nat (2022) 
- Tableau Community Projects - By Tableau (2022) 
- 55 Fun python project ideas - By DataQuest (2022)
Mentoring
- Black Valley - Utilise the resources on Black Valley for your mentoring.
Videos
- Data structure easy to advance - By FreeCodeCamp (YouTube, 2019) 
- How data and culture unlock digital transformation - By DataCamp (YouTube, 2022) 
- 12 data science apps using python - By FreeCodeCamp (YouTube, 2021) 
- Statistics - Data science basics - By FreeCodeCamp (YouTube, 2019) 
- What is data science? - By IBM Technology (YouTube, 2022) 
- Learn data science tutorial - By FreeCodeCamp (YouTube, 2019) 
- Python for data science - By FreeCodeCamp (YouTube, 2020) 
- Machine learning for data science - By FreeCodeCamp (YouTube, 2022) 
- Programming R tutorial - By FreeCodeCamp (YouTube, 2019)
Books
- Data Science (MIT Press Essential Knowledge series) by John D Kelleher - By John D Kelleher (2018) 
- Python: 3 books in 1 -Your complete guide to python programming with python for beginners by Brady Ellison - By Brady Ellison (2022) 
- Build a Career in Data Science by Emily Robinson - By Emily Robinson (2020) 
- Data Science from Scratch - By Joel Grus 
- The Art of Statistics: Learning from Data - By David Spiegelhalter (2020) 
- Storytelling with Data: A Data Visualization Guide for Business Professionals - By Cole Nussbaumer Knaflic (2015) 
- Big Data: A Revolution That Will Transform How We Live, Work and Think - By Viktor Mayer-Schonberger (2014) 
- Data Science for Dummies - By Lillian Pierson (2015) 
- The Handbook of Data Science And AI - By Stefan Papp (2022) 
- Storytelling with Data: A Data Visualization Guide for Business Professionals - By Cole Nussbaumer Knaflic (2015) 
- Python: 3 books in 1 -Your complete guide to python programming with python for beginners by Brady Ellison - By Brady Ellison (2022) 
- Build a Career in Data Science by Emily Robinson - By Emily Robinson (2020) 
- Big Data: A Revolution That Will Transform How We Live, Work and Think - By Viktor Mayer-Schonberger (2014) 
- Data Science for Dummies - By Lillian Pierson (2015)
Communities
- StackOverflow Community - A community where you can ask questions about data science. (Stack Overflow,2022) 
- Datacamp Slack Community - DataCamp has built an instant messaging community where subscribers can discuss DataCamp and data science. (DataCamp,2022) 
- Codeacademy Chapters - Codecademy Chapters are the perfect place to collaborate with fellow learners virtually or in-person. (Code Academy,2022) 
- Microsoft Azure Database Community - An Azure Data community managed by the Azure SQL DB support team. (Microsoft,2022) 
- Kaggle Community - Discuss the Kaggle platform & machine learning topics. (Kaggle,2022) 
- IBM Data Science Community - Master the art of data science with the IBM data science community. (IBM,2022) 
- Reddit Data Science Community - A place for data science practitioners and professionals to discuss and debate data science career questions. (Reddit,2022) 
- DataQuest Community - The Dataquest community will help you get your data questions answered and allow you to collaborate with your peers. (DataQuest,2022) 
- StackOverflow Community - A community where you can ask questions about data science. (Stack Overflow,2022) 
- IBM Data Science Community - Master the art of data science with the IBM data science community. (IBM,2022) 
- Reddit Data Science Community - A place for data science practitioners and professionals to discuss and debate data science career questions. (Reddit,2022) 
- DrivenData Community - A space where experienced and aspiring data scientists can solve pressing problems for mission-driven organisations. (DrivenData,2022) 
- DataScienceCentral Community - A community for big data practitioners. (Data Science central,2022) 
- Rails Girls - Join the community and get involved. Support Rails Girls Summer of Code as a coach, a mentor or as an organiser, helping in various areas such as fundraising, editing, working on our sites or helping the students find Open Source projects. (Rails girls,2022) 
- DrivenData Community - A space where experienced and aspiring data scientists can solve pressing problems for mission-driven organisations. (DrivenData,2022) 
- DataScienceCentral Community - A community for big data practitioners. (Data Science central,2022) 
- GitHub Community - A community that supports all GitHub users on their educational journey via discussions. (GitHub, 2022) 
- Khan Academy Community - A community providing free, world-class education to anyone, anywhere. (Khan Academy, 2022) 
- DataKind Community - A community of passionate data scientists, visionary partners and mission-driven organisations. (DataKind, 2022) 
- PyData Community - The global PyData network that promotes discussions around best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualisation. (PyData, 2022) 
- Hacktoberfest - Join the Hacktoberfest Discord community. (Hacktoberfest,2022) 
- Outreachy Community - Outreachy's community supports people from groups underrepresented in tech. (Outreachy,2022) 
- CodeTriage - A collection of open-source projects for new contributors and a community of supporters. (CodeTriage,2022) 
- Ovio - Browse through a curated list of projects and issues waiting for your help. (Ovio,2022) 
- HuckleTree - A community of innovators, brands, investors, mentors, ambassadors and educators. (HuckleTree,2022) 
- Up-For-Grabs - A collection of open-source projects for new contributors and a community of supporters. (Up for Grabs,2022) 
- Python - Get involved and stay informed with the Python community. (Python,2022) 
- IBM Data Science Community - Master the art of data science with the IBM data science community. (IBM,2022) 
- IBM Data Science Community - Master the art of data science with the IBM data science community. (IBM,2022) 
- Microsoft Azure Database Community - An Azure Data community managed by the Azure SQL DB support team. (Microsoft,2022)
Cheat sheets
- Machine learning cheat sheet - Datacamp guides you around the top machine learning algorithms and use-cases. 
- Data science cheat sheet for business leaders - Datcamp guides you through how data science can help your business. 
- Descriptive Statistics cheat sheet - Datacamp presents the most common statistical techniques for descriptive analytics. 
- Cheat sheet for supervised learning - Afshine Amidi presents a supervised learning guide. 
- Cheat sheet for unsupervised learning - Afshine Amidi presents an unsupervised learning guide. 
- Cheatography Machine learning cheat sheet - Cheatography presents a cheat sheet on Machine learning. 
- Scikit-learn algorithm cheat sheet - The official Scikit Learn cheat sheet. 
- Keras for data science cheat sheet - An Amazonaws Keras cheat sheet. 
- Neural Networks cheat sheet - An Asimovinstitute Neural Networks cheat sheet. 
- Data preparation with SQL cheat sheet - The official KDNuggets SQL cheat sheet. 
- Getting started with Pandas - The official KDNuggets Pandas cheat sheet. 
- Python for data science - Datacamp presents the Python basics.
Games
- Grid Garden - Grid Garden, where you write CSS code to grow your carrot garden! 
- Code Combat - An innovative game-based learning technology that has transformed how students learn to code. 
- CSS Diner - It is a fun game to learn and practice CSS selectors. 
- FlexBox Groggy - Flexbox Froggy is a game where you help Froggy and friends by writing CSS code! 
- Scratch - Scratch is the world's largest free coding community for kids. 
- FlexBox Defense - Your job is to stop the incoming enemies from getting past your defences. Unlike other tower defence games, you must position your towers using CSS! 
- Tynker - Tynker is a fun way to learn programming and develop problem-solving & critical-thinking skills. 
- SQL Murder Mystery - The SQL Murder Mystery is designed to be both a self-directed lesson to learn SQL concepts and commands and a fun game for experienced SQL users to solve an intriguing crime. 
- Grid Garden - Grid Garden, where you write CSS code to grow your carrot garden! 
- Code Combat - An innovative game-based learning technology that has transformed how students learn to code. 
- Scratch - Scratch is the world's largest free coding community for kids. 
- Tynker - Tynker is a fun way to learn programming and develop problem-solving & critical-thinking skills. 
- SQL Murder Mystery - The SQL Murder Mystery is designed to be both a self-directed lesson to learn SQL concepts and commands and a fun game for experienced SQL users to solve an intriguing crime.
Development Environments Tools
- Visual Studio Code - A standalone source code editor that runs on Windows, macOS, and Linux. 
- IntelliJ - Every aspect of IntelliJ IDEA has been designed to maximise developer productivity. 
- PyCharm - Rely on it for intelligent code completion, on-the-fly error checking and quick fixes, easy project navigation, and much more. 
- RubyMine - Ruby and Rails IDE 
- Visual Studio Code - A standalone source code editor that runs on Windows, macOS, and Linux. 
- IntelliJ - Every aspect of IntelliJ IDEA has been designed to maximise developer productivity. 
- Jupyter - Free software, open standards, and web services for interactive computing across all programming languages. 
- Replit - Build software collaboratively from anywhere in the world, on any device, without spending a second on setup.
Local Newspaper Archives
- Data Visualisation: How America moves its homeless - By The Outside America in Team (The Guardian, 2017) 
- Presidential election 2022: the dashboard of polls, speaking time and sponsorhips - By Raphaëlle Aubert, Manon Romain and Gary Dagorn (Le Monde, 2022) 
- End of the Covid-19 pandemic - By Sarun Charumilind, Matt Craven, Jessica Lamb, Adam Sabow, Shubham Singhal, and Matt Wilson (Mckinsey, 2022) 
- Migration waves - By Unknown (National Geographic, 2022) 
- Russia, Gas, and the Ukraine conflict - By Unknown (The New York Times, 2022) 
- Data Visualisation: How America moves its homeless - By The Outside America in Team (The Guardian, 2017) 
- Individual carbon footprint - By Unknown (The Economist, 2021) 
- Child labour - By Unknown (Dataviz Inspiration)
Online Courses
- Harvard University Data Science Courses - By Harvard University - 5 weeks - Beginners to advanced levels. (Harvard, 2022) 
- IBM Data Science professional Certificate - By IBM - 11 Months - Beginner level. (Coursera, 2022) 
- Harvard University Data Science Courses - By Harvard University - 5 weeks - Beginners to advanced levels. (Harvard, 2022) 
- Datacamp: Understanding data science - By DataCamp - 2 Hours - Beginner level. (DataCamp, 2022) 
- Introduction to computational thinking and data science - By MIT - 9 Weeks - Beginner level. (EdX, 2022) 
- SQL for data science with R - By IBM - 6 Weeks - Beginner level. (EDX, 2022) 
- Statistical thinking for data science and analytics - By Columbia University - 5 Weeks - Beginner level. (EDX, 2022) 
- Introduction to natural language processing - By Udemy - 3 Hours - Beginner level. (Udemy, 2022) 
- Hands-on data science: build real world projects - By Udemy - 105 Hours - Beginner level. (Udemy, 2022) 
- Datacamp: Understanding data science - By DataCamp - 2 Hours - Beginner level. (DataCamp, 2022) 
- Code Academy Data Science courses - By Code Academy - 1 Month lessons - Beginner level. (Code Academy, 2022) 
- JetBrains programming courses - By JetBrains Academy - 1 Month - Beginner level. (JetBrains, 2022)
Podcasts
- The rise of spatial data science - By Wendy Keyes and David Gadsden (Esri, 2022) 
- Data science and the rise of geospatial thinking - By Lauren Bennett (Esri, 2021) 
- Data and location: from insights to action - By Mike Lippmann (Esri, 2019) 
- Weaving the geospatial fabric of the world with authoritative data - By Greg Bunce (Esri, 2022) 
- The future of unstructured data - By Edward Cui (Data crunch, 2022) 
- Data governance for data science - By Adam Wood (Twimlai, 2022) 
- Feature platforms for data-centric AI - By Mike Del Balso (Twimlai, 2022) 
- The state of artificial intelligence 2022 - By Stanford Institute for Human-Centered Artificial Intelligence (Data Science at Home, 2022) 
- Data and location: from insights to action - By Mike Lippmann (Esri, 2019) 
- Weaving the geospatial fabric of the world with authoritative data - By Greg Bunce (Esri, 2022) 
- Creating a database for AI - By Davit Buniatyan (Data crunch, 2022)
Talks
- The best stats you've ever seen - Hans Rosling debunks myths about the so-called "developing world." 
- The beauty of data visualization - David McCandless suggests the best way to navigate the information glut. 
- Beyond the numbers: A data analyst journey - Anna Leach discusses the importance of investing time with people and the process of analysing data, as well as its resources. 
- The human insights missing from big data - Tricia Wang demystifies big data and identifies its pitfalls, suggesting that we focus instead on "thick data" -- precious, unquantifiable insights from actual people -- to make the right business decisions and thrive in the unknown. 
- Make data more human - Jer Thorp shares his moving projects, from graphing an entire year's news cycle to mapping the way people share articles across the internet. 
- Big data is better data - Kenneth Cukier looks at what's next for machine learning -- and human knowledge. 
- Grit: The power of passion and perseverance - Angela Lee Duckworth explains her theory of "grit" as a predictor of success. 
- The best stats you've ever seen - Hans Rosling debunks myths about the so-called "developing world." 
- Beyond the numbers: A data analyst journey - Anna Leach discusses the importance of investing time with people and the process of analysing data, as well as its resources. 
- The power of believing that you can improve - Carol Dweck describes two ways to think about a problem that's slightly too hard for you to solve. 
- The world needs all kinds of minds - Temple Grandin makes the case that the world needs people on the autism spectrum: visual thinkers, pattern thinkers, verbal thinkers, and all kinds of smart geeky kids. 
- Own your body's data - Talithia Williams makes a compelling case that all of us should be measuring and recording simple data about our bodies every day — because our own data can reveal much more than even our doctors may know.
Tutorials
- Databricks data science and engineering - Hands-on tutorials by Databricks 
- Learn just enough JavaScript - Hands-on tutorials by Observable 
- Data science tutorial with W3Schools - Hands-on tutorials by W3School 
- Plotly open-source graphing library tutorials - Hands-on tutorials by Plotly 
- Building and deploying machine learning pipelines - Hands-on tutorials by DataCamp 
- Decision tree introduction with examples - Hands-on tutorials by GeeksforGeeks 
- Build a recurrent neural network using Pytorch - Hands-on tutorials by IBM 
- Download datasets from the Red Hat Marketplace - Hands-on tutorials by IBM 
- Building models using Jupyter notebooks in IBM Watson Studio - Hands-on tutorials by IBM 
- Getting started with TabPy - Hands-on tutorials by DataCamp DataCamp 
- Databricks data science and engineering - Hands-on tutorials by Databricks 
- Decision tree introduction with examples - Hands-on tutorials by GeeksforGeeks 
- Build a recurrent neural network using Pytorch - Hands-on tutorials by IBM
Reports
- State of Date Science 2022: paving the way for innovation - Viewable on the Anaconda website. 
- Scaling AI/ML Initiatives: The critical role of data - Viewable on the Snowflake website.
Volunteering
- DataKind - Volunteer at an event. 
- Khan Academy - Share your story or help translate Khan Academy content. 
- Girls who code - Start a club, fundraise or join a campaign. 
- STEMetters - Volunteer at one of the STEMetters events. 
- Robogals - Find your local chapter and start making a difference today. 
- She Codes - Get involved and mentor with She Codes. 
- ColorInTech - Join the community and attend events to find out about opportunities. 
- CBF - Volunteer with CBF. 
- PyData - Volunteer at an event, mentor, or contribute code.

Programming Languages

Python 2 Jupyter Notebook 1 JavaScript 1 HTML 1

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