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https://github.com/ahammadmejbah/ultimate-data-science-resources
🚀 Welcome to the Unlimited Data Science Resources community! Dive into a wealth of knowledge with curated tutorials, courses, and insights. Elevate your data science journey with boundless learning opportunities! 📊✨
https://github.com/ahammadmejbah/ultimate-data-science-resources
data-engineering data-mining data-science data-visualization database datascience
Last synced: about 2 months ago
JSON representation
🚀 Welcome to the Unlimited Data Science Resources community! Dive into a wealth of knowledge with curated tutorials, courses, and insights. Elevate your data science journey with boundless learning opportunities! 📊✨
- Host: GitHub
- URL: https://github.com/ahammadmejbah/ultimate-data-science-resources
- Owner: ahammadmejbah
- License: apache-2.0
- Created: 2023-12-21T11:20:53.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-12-21T11:55:52.000Z (about 1 year ago)
- Last Synced: 2024-08-28T20:40:56.320Z (4 months ago)
- Topics: data-engineering, data-mining, data-science, data-visualization, database, datascience
- Homepage: https://www.youtube.com/@BytesOfIntelligences
- Size: 25.4 KB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
Unlimited Data Science Resources 🤖🔬
| Category | Resource | Link |
|------------------------------|--------------------------------------------|----------------------------------------------------|
| **General Data Science** | DataCamp | [DataCamp](https://www.datacamp.com/) |
| **General Data Science** | Kaggle | [Kaggle](https://www.kaggle.com/) |
| **General Data Science** | Towards Data Science (Medium) | [Towards Data Science](https://towardsdatascience.com/) |
| **Machine Learning** | Coursera - Andrew Ng's Machine Learning | [Coursera - Machine Learning](https://www.coursera.org/learn/machine-learning) |
| **Machine Learning** | fast.ai | [fast.ai](https://www.fast.ai/) |
| **Deep Learning** | Stanford University - CS231n (Convolutional Neural Networks) | [CS231n](http://cs231n.stanford.edu/) |
| **Deep Learning** | Deeplearning.ai - Deep Learning Specialization | [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning) |
| **Statistics & Probability** | Khan Academy - Statistics and Probability | [Khan Academy - Statistics and Probability](https://www.khanacademy.org/math/statistics-probability) |
| **Statistics & Probability** | StatQuest with Josh Starmer | [StatQuest](https://statquest.org/) |
| **Data Visualization** | Tableau Public | [Tableau Public](https://public.tableau.com/en-us/s/gallery) |
| **Data Visualization** | D3.js - Data-Driven Documents | [D3.js](https://d3js.org/) |
| **Big Data** | Apache Hadoop | [Apache Hadoop](http://hadoop.apache.org/) |
| **Big Data** | Apache Spark | [Apache Spark](https://spark.apache.org/) |
| **Data Cleaning & Wrangling**| Pandas | [Pandas](https://pandas.pydata.org/) |
| **Data Cleaning & Wrangling**| OpenRefine | [OpenRefine](http://openrefine.org/) |
| **Python Programming** | Real Python | [Real Python](https://realpython.com/) |
| **Python Programming** | Codecademy - Python Course | [Codecademy - Python](https://www.codecademy.com/learn/learn-python) |
| **Data Science Communities** | Stack Overflow | [Stack Overflow](https://stackoverflow.com/) |
| **Data Science Communities** | Reddit - r/datascience | [Reddit - r/datascience](https://www.reddit.com/r/datascience/) |
| **Data Science Blogs** | KDnuggets | [KDnuggets](https://www.kdnuggets.com/) |
| **Data Science Blogs** | Data Science Central | [Data Science Central](https://www.datasciencecentral.com/) |
| **General Data Science** | DataQuest | [DataQuest](https://www.dataquest.io/) |
| **General Data Science** | Analytics Vidhya | [Analytics Vidhya](https://www.analyticsvidhya.com/)|
| **General Data Science** | Mode Analytics | [Mode Analytics](https://mode.com/) |
| **Machine Learning** | Google's Machine Learning Crash Course | [Google's ML Crash Course](https://developers.google.com/machine-learning/crash-course) |
| **Machine Learning** | Berkeley's CS 189 - Introduction to Machine Learning | [CS 189](https://people.eecs.berkeley.edu/~jrs/189/) |
| **Machine Learning** | The Hundred-Page Machine Learning Book | [Hundred-Page ML Book](http://themlbook.com/) |
| **Deep Learning** | MIT OpenCourseWare - Introduction to Deep Learning | [MIT OCW - Deep Learning](http://introtodeeplearning.com/) |
| **Deep Learning** | NVIDIA Deep Learning Institute | [NVIDIA DLI](https://www.nvidia.com/en-us/deep-learning-ai/education/) |
| **Statistics & Probability** | Harvard's Statistics 110 - Probability | [Harvard Stat 110](https://projects.iq.harvard.edu/stat110) |
| **Statistics & Probability** | OLI - Statistics and Data Analysis | [OLI - Statistics](https://oli.cmu.edu/courses/statistics-and-data-analysis/) |
| **Data Visualization** | Datawrapper | [Datawrapper](https://www.datawrapper.de/) |
| **Data Visualization** | Flourish | [Flourish](https://flourish.studio/) |
| **Big Data** | Cloudera | [Cloudera](https://www.cloudera.com/) |
| **Big Data** | Databricks | [Databricks](https://databricks.com/) |
| **Data Cleaning & Wrangling**| Trifacta | [Trifacta](https://www.trifacta.com/) |
| **Data Cleaning & Wrangling**| DataWrangler | [DataWrangler](https://github.com/datawrangler/DataWrangler) |
| **Python Programming** | PyBites | [PyBites](https://codechalleng.es/) |
| **Python Programming** | Full Stack Python | [Full Stack Python](https://www.fullstackpython.com/) |
| **Data Science Communities** | Kaggle Forums | [Kaggle Forums](https://www.kaggle.com/getting-started/78779) |
| **Data Science Communities** | Data Science Stack Exchange | [Stack Exchange - Data Science](https://datascience.stackexchange.com/) |
| **Data Science Blogs** | Simply Statistics | [Simply Statistics](http://simplystatistics.org/) |
| **Data Science Blogs** | FlowingData | [FlowingData](https://flowingdata.com/) |
| **Data Science Blogs** | R-bloggers | [R-bloggers](https://www.r-bloggers.com/) |
| **Data Science Blogs** | Analytics Vidhya Blog | [AV Blog](https://www.analyticsvidhya.com/blog/) |
| **General Data Science** | IBM Data Science Community | [IBM Data Science Community](https://community.ibm.com/community/user/datascience) |
| **General Data Science** | Udemy - Data Science and Machine Learning Bootcamp | [Udemy - Data Science Bootcamp](https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/) |
| **General Data Science** | Harvard's Data Science Course (CS109) | [Harvard CS109](http://cs109.github.io/2015/) |
| **Machine Learning** | MIT OpenCourseWare - Introduction to Computational Thinking and Data Science | [MIT OCW - Computational Thinking](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/index.htm) |
| **Machine Learning** | Analytics University by IBM | [Analytics University](https://www.ibm.com/analytics/learn/) |
| **Machine Learning** | Sebastian Raschka's Machine Learning and Deep Learning Tutorials | [Sebastian Raschka's GitHub](https://github.com/rasbt/stat479-machine-learning-fs19) |
| **Deep Learning** | Dive into Deep Learning by Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola | [Dive into Deep Learning](https://d2l.ai/) |
| **Deep Learning** | TensorFlow Tutorials and Guides | [TensorFlow Tutorials](https://www.tensorflow.org/tutorials) |
| **Statistics & Probability** | MIT OpenCourseWare - Introduction to Probability and Statistics | [MIT OCW - Probability and Statistics](https://ocw.mit.edu/resources/res-6-012-introduction-to-probability-and-statistics-spring-2018/) |
| **Statistics & Probability** | OpenIntro Statistics | [OpenIntro Statistics](https://www.openintro.org/book/stat/) |
| **Data Visualization** | Data Visualization Society | [Data Visualization Society](https://www.datavisualizationsociety.com/) |
| **Data Visualization** | Chartio | [Chartio](https://chartio.com/learn/) |
| **Big Data** | BigML | [BigML](https://bigml.com/) |
| **Big Data** | Apache Flink | [Apache Flink](https://flink.apache.org/) |
| **Data Cleaning & Wrangling**| KNIME | [KNIME](https://www.knime.com/) |
| **Data Cleaning & Wrangling**| DataCamp - Cleaning Data in Python | [DataCamp - Cleaning Data in Python](https://www.datacamp.com/courses/cleaning-data-with-python) |
| **Python Programming** | Real Python - Intermediate Python | [Real Python - Intermediate Python](https://realpython.com/courses/intermediate-python/) |
| **Python Programming** | Python.org | [Python Official Website](https://www.python.org/)|
| **Data Science Communities** | Data Science Central Forum | [DSC Forum](https://www.datasciencecentral.com/forum/) |
| **Data Science Communities** | Data Science Weekly | [Data Science Weekly](https://www.datascienceweekly.org/) |
| **Data Science Blogs** | Towards AI | [Towards AI](https://pub.towardsai.net/) |
| **Data Science Blogs** | DataFlair | [DataFlair](https://data-flair.training/blogs/) |
| **General Data Science** | Springboard Data Science Career Track | [Springboard](https://www.springboard.com/workshops/data-science-career-track/) |
| **General Data Science** | 365 Data Science | [365 Data Science](https://365datascience.com/) |
| **General Data Science** | Microsoft Learn - Data Science | [Microsoft Learn - Data Science](https://learn.microsoft.com/en-us/training/browse/?term=data%20science) |
| **Machine Learning** | Kaggle Courses | [Kaggle Courses](https://www.kaggle.com/learn/overview) |
| **Machine Learning** | Google Cloud Training | [Google Cloud Training](https://cloud.google.com/training/) |
| **Machine Learning** | Pattern Recognition and Machine Learning by Christopher Bishop (Book) | [Book Link](https://www.microsoft.com/en-us/research/people/cmbishop/prml/) |
| **Deep Learning** | Stanford University - CS224n (Natural Language Processing with Deep Learning) | [CS224n](http://web.stanford.edu/class/cs224n/) |
| **Deep Learning** | FastAI Practical Deep Learning for Coders | [FastAI](https://course.fast.ai/) |
| **Statistics & Probability** | Statistics.com | [Statistics.com](https://www.statistics.com/) |
| **Statistics & Probability** | The Probability and Statistics Cookbook | [Probability and Statistics Cookbook](https://statistics.laerd.com/) |
| **Data Visualization** | Storytelling with Data | [Storytelling with Data](https://www.storytellingwithdata.com/) |
| **Data Visualization** | Information is Beautiful | [Information is Beautiful](https://informationisbeautiful.net/) |
| **Big Data** | Hortonworks Tutorials | [Hortonworks Tutorials](https://hortonworks.com/tutorials/) |
| **Big Data** | DataCamp - Big Data Fundamentals | [DataCamp - Big Data Fundamentals](https://www.datacamp.com/courses/big-data-fundamentals) |
| **Data Cleaning & Wrangling**| Great Expectations | [Great Expectations](https://greatexpectations.io/) |
| **Data Cleaning & Wrangling**| DataCamp - Cleaning Data in R | [DataCamp - Cleaning Data in R](https://www.datacamp.com/courses/cleaning-data-in-r) |
| **Python Programming** | HackerRank - Python | [HackerRank - Python](https://www.hackerrank.com/domains/tutorials/10-days-of-python) |
| **Python Programming** | Real Python - Python Basics | [Real Python - Python Basics](https://realpython.com/courses/python-basics/) |
| **Data Science Communities** | Data Science Society | [Data Science Society](https://datasciencesociety.net/) |
| **Data Science Communities** | Towards Data Science on Medium | [Towards Data Science on Medium](https://towardsdatascience.com/) |
| **Data Science Blogs** | Data School | [Data School](https://www.dataschool.io/) |
| **Data Science Blogs** | Simply Python | [Simply Python](https://simplypython.io/) |
| **General Data Science** | Harvard's CS50 - Introduction to Computer Science | [CS50](https://cs50.harvard.edu/) |
| **General Data Science** | Duke University - Data Science and Machine Learning Bootcamp | [Duke University Bootcamp](https://bootcamp.duke.edu/data/) |
| **General Data Science** | LinkedIn Learning - Data Science and Analytics Courses | [LinkedIn Learning - Data Science](https://www.linkedin.com/learning/topics/data-science) |
| **Machine Learning** | Analytics Vidhya - Machine Learning Course | [Analytics Vidhya - ML Course](https://courses.analyticsvidhya.com/courses/introduction-to-machine-learning) |
| **Machine Learning** | IBM Watson Studio | [IBM Watson Studio](https://www.ibm.com/cloud/watson-studio) |
| **Machine Learning** | Google's Teachable Machine | [Teachable Machine](https://teachablemachine.withgoogle.com/) |
| **Deep Learning** | PyTorch Tutorials | [PyTorch Tutorials](https://pytorch.org/tutorials/) |
| **Deep Learning** | NVIDIA Deep Learning SDK | [NVIDIA Deep Learning SDK](https://developer.nvidia.com/deep-learning-sdk) |
| **Deep Learning** | Stanford University - CS231n (Convolutional Neural Networks for Visual Recognition) | [CS231n](http://cs231n.stanford.edu/) |
| **Statistics & Probability** | OpenStax Introductory Statistics | [OpenStax Intro Stats](https://openstax.org/details/books/introductory-statistics) |
| **Statistics & Probability** | Carnegie Mellon University - Probability and Statistics | [CMU Probability and Stats](https://www.cmu.edu/oli/courses/free-open/statistics-course-details/) |
| **Data Visualization** | RAWGraphs | [RAWGraphs](https://rawgraphs.io/) |
| **Data Visualization** | DataCamp - Data Visualization with ggplot2 | [DataCamp - ggplot2](https://www.datacamp.com/courses/data-visualization-with-ggplot2-1) |
| **Big Data** | MongoDB University | [MongoDB University](https://university.mongodb.com/) |
| **Big Data** | Apache Kafka Tutorials | [Apache Kafka Tutorials](https://kafka.apache.org/documentation/) |
| **Big Data** | Hadoop - MapReduce Tutorial | [Hadoop MapReduce Tutorial](https://hadoop.apache.org/docs/current/hadoop-mapreduce-client/hadoop-mapreduce-client-core/MapReduceTutorial.html) |
| **Data Cleaning & Wrangling**| DataWrangler by Trifacta | [DataWrangler](https://www.trifacta.com/products/wrangler/) |
| **Data Cleaning & Wrangling**| pandas-profiling | [pandas-profiling](https://github.com/pandas-profiling/pandas-profiling) |
| **Python Programming** | CodeSignal - Python Practice | [CodeSignal - Python](https://codesignal.com/) |
| **Python Programming** | Python for Everybody by University of Michigan on Coursera | [Python for Everybody](https://www.coursera.org/specializations/python) |
| **Data Science Communities** | Data Science Association | [Data Science Association](https://www.datascienceassn.org/) |
| **Data Science Communities** | Data Science Stack by Data Science Central | [Data Science Stack](https://datascience.stackexchange.com/) |
| **Data Science Blogs** | DataRobot Blog | [DataRobot Blog](https://www.datarobot.com/blog/) |
| **Data Science Blogs** | Machine Learning Mastery by Jason Brownlee | [ML Mastery](https://machinelearningmastery.com/start-here/#algorithms) |
| **General Data Science** | MIT OpenCourseWare - Introduction to Data Science | [MIT OCW - Data Science](https://ocw.mit.edu/courses/intro-programming/) |
| **General Data Science** | edX - Data Science MicroMasters Program | [edX - Data Science](https://www.edx.org/micromasters/mitx-statistics-and-data-science) |
| **General Data Science** | Data Science and Machine Learning Bootcamp by Colt Steele | [Udemy Bootcamp](https://www.udemy.com/course/the-data-science-and-machine-learning-bootcamp/) |
| **Machine Learning** | FastAI Practical Machine Learning for Coders | [FastAI ML](https://course.fast.ai/ml) |
| **Machine Learning** | Analytics Vidhya - Free Machine Learning Course | [Analytics Vidhya - Free ML Course](https://courses.analyticsvidhya.com/courses/free-machine-learning) |
| **Machine Learning** | Microsoft AI School | [Microsoft AI School](https://aischool.microsoft.com/en-us/home) |
| **Deep Learning** | TensorFlow Tutorials | [TensorFlow Tutorials](https://www.tensorflow.org/tutorials) |
| **Deep Learning** | NVIDIA Deep Learning Institute - Fundamentals of Deep Learning | [DLI Fundamentals](https://www.nvidia.com/en-gb/deep-learning-ai/education/) |
| **Deep Learning** | Dive into Deep Learning with MXNet | [Dive into DL with MXNet](https://d2l.ai/) |
| **Statistics & Probability** | Khan Academy - Statistics and Probability | [Khan Academy - Stats](https://www.khanacademy.org/math/statistics-probability) |
| **Statistics & Probability** | OpenIntro Statistics | [OpenIntro Statistics](https://www.openintro.org/book/stat/) |
| **Data Visualization** | Seaborn Documentation | [Seaborn Documentation](https://seaborn.pydata.org/) |
| **Data Visualization** | Observable - Data Visualization | [Observable Data Viz](https://observablehq.com/@observablehq/learning-d3) |
| **Big Data** | Apache HBase Documentation | [HBase Documentation](https://hbase.apache.org/book.html) |
| **Big Data** | Udacity - Big Data Analytics with Spark | [Udacity - Big Data Analytics](https://www.udacity.com/course/big-data-analytics-with-spark--ud651) |
| **Big Data** | Big Data University by IBM | [Big Data University](https://www.ibm.com/cloud/learn/big-data-university) |
| **Data Cleaning & Wrangling**| Google Refine (OpenRefine) | [OpenRefine](http://openrefine.org/) |
| **Data Cleaning & Wrangling**| DataCamp - Cleaning Data in Python | [DataCamp - Cleaning Data in Python](https://www.datacamp.com/courses/cleaning-data-with-python) |
| **Python Programming** | The Hitchhiker's Guide to Python | [Hitchhiker's Guide to Python](https://docs.python-guide.org/) |
| **Python Programming** | PyBites | [PyBites](https://codechalleng.es/) |
| **Data Science Communities** | Reddit - r/MachineLearning | [Reddit - r/MachineLearning](https://www.reddit.com/r/MachineLearning/) |
| **Data Science Communities** | LinkedIn Data Science Group | [LinkedIn - Data Science Group](https://www.linkedin.com/groups/12154862/) |
| **Data Science Blogs** | Dataquest Blog | [Dataquest Blog](https://www.dataquest.io/blog/) |
| **Data Science Blogs** | The Data Incubator Blog | [Data Incubator Blog](https://blog.thedataincubator.com/) |
| **Data Science Blogs** | KDnuggets Blog | [KDnuggets Blog](https://www.kdnuggets.com/) |
| **Data Science Blogs** | Google AI Blog | [Google AI Blog](https://ai.googleblog.com/) |
| **General Data Science** | Berkeley Data Science Modules | [Berkeley Data Science Modules](https://data.berkeley.edu/education/courses/data-8) |
| **General Data Science** | Udacity - Data Analyst Nanodegree Program | [Udacity - Data Analyst Nanodegree](https://www.udacity.com/course/data-analyst-nanodegree--nd002) |
| **General Data Science** | Analytics Vidhya - Data Science Blog | [Analytics Vidhya Blog](https://www.analyticsvidhya.com/blog/) |
| **Machine Learning** | Imperial College London - Machine Learning for Beginners | [Machine Learning for Beginners](https://www.coursera.org/learn/data-science-machine-learning) |
| **Machine Learning** | Analytics Vidhya - Free Machine Learning for Beginners Course | [Free ML for Beginners](https://courses.analyticsvidhya.com/courses/aiforbeginners) |
| **Machine Learning** | Data School - Machine Learning Mini-Courses | [Data School Mini-Courses](https://www.dataschool.io/courses/) |
| **Deep Learning** | Coursera - Deep Learning Specialization by Andrew Ng | [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning) |
| **Deep Learning** | MIT OpenCourseWare - Introduction to Deep Learning | [MIT OCW - Deep Learning](https://ocw.mit.edu/courses/media-arts-and-sciences/mas-622-computational-cognitive-science-january-iap-2007/index.htm) |
| **Deep Learning** | TensorFlow Playground | [TensorFlow Playground](https://playground.tensorflow.org/) |
| **Statistics & Probability** | Khan Academy - Inferential Statistics | [Khan Academy - Inferential Stats](https://www.khanacademy.org/math/statistics-probability/inference-categorical) |
| **Statistics & Probability** | Coursera - Statistics with R Specialization | [Statistics with R Specialization](https://www.coursera.org/specializations/statistics) |
| **Data Visualization** | DataCamp - Data Visualization with Matplotlib | [DataCamp - Matplotlib](https://www.datacamp.com/courses/introduction-to-data-visualization-with-python) |
| **Data Visualization** | Flourish Studio | [Flourish Studio](https://flourish.studio/) |
| **Big Data** | Dask - Parallel Computing in Python | [Dask](https://dask.org/) |
| **Big Data** | Udacity - Big Data Nanodegree Program | [Udacity - Big Data Nanodegree](https://www.udacity.com/course/big-data-nanodegree--nd099) |
| **Big Data** | Google Cloud BigQuery | [Google BigQuery](https://cloud.google.com/bigquery) |
| **Data Cleaning & Wrangling**| Trifacta Wrangler | [Trifacta Wrangler](https://www.trifacta.com/products/wrangler/) |
| **Data Cleaning & Wrangling**| DataCamp - Cleaning Data in SQL | [DataCamp - Cleaning Data in SQL](https://www.datacamp.com/courses/cleaning-data-in-sql) |
| **Python Programming** | W3Schools - Python Tutorial | [W3Schools Python Tutorial](https://www.w3schools.com/python/) |
| **Python Programming** | SoloLearn - Python Course | [SoloLearn - Python Course](https://www.sololearn.com/Course/Python/) |
| **Data Science Communities** | Data Science Stack Exchange - Cross Validated | [Cross Validated](https://stats.stackexchange.com/) |
| **Data Science Communities** | Reddit - r/dataviz | [Reddit - r/dataviz](https://www.reddit.com/r/dataviz/) |
| **Data Science Blogs** | Randal S. Olson - Data Science Blog | [Randal S. Olson's Blog](http://www.randalolson.com/blog/) |
| **Data Science Blogs** | Analytics Vidhya - Interview Experiences | [AV Interview Experiences](https://www.analyticsvidhya.com/blog/category/interview-experiences/) |
| **Data Science Blogs** | FiveThirtyEight | [FiveThirtyEight](https://fivethirtyeight.com/) |
| **General Data Science** | MIT OpenCourseWare - Introduction to Computer Science and Programming in Python | [MIT OCW - Python](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/index.htm) |
| **General Data Science** | Data Science Dojo | [Data Science Dojo](https://datasciencedojo.com/) |
| **General Data Science** | Analytics Vidhya - Data Science for Beginners | [Data Science for Beginners](https://www.analyticsvidhya.com/blog/2018/11/data-science-for-beginners/) |
| **Machine Learning** | Kaggle Courses | [Kaggle Courses](https://www.kaggle.com/learn/overview) |
| **Machine Learning** | Oxford University - Machine Learning for Data Science | [Oxford Machine Learning](https://www.conted.ox.ac.uk/about/machine-learning-for-data-science) |
| **Machine Learning** | MIT OpenCourseWare - Introduction to Machine Learning | [MIT OCW - Machine Learning](https://ocw.mit.edu/courses/media-arts-and-sciences/mas-622-computational-cognitive-science-january-iap-2007/index.htm) |
| **Deep Learning** | Kaggle - TensorFlow Tutorials | [Kaggle TensorFlow Tutorials](https://www.kaggle.com/learn/tensorflow) |
| **Deep Learning** | Stanford University - CS224d (Natural Language Processing with Deep Learning) | [CS224d](http://cs224d.stanford.edu/) |
| **Deep Learning** | Coursera - Sequence Models by Andrew Ng | [Sequence Models](https://www.coursera.org/learn/nlp-sequence-models) |
| **Statistics & Probability** | Harvard University - Statistics 110: Probability | [Harvard Stat 110](https://projects.iq.harvard.edu/stat110) |
| **Statistics & Probability** | Coursera - Bayesian Statistics | [Bayesian Statistics](https://www.coursera.org/learn/bayesian-statistics) |
| **Data Visualization** | Plotly | [Plotly](https://plotly.com/) |
| **Data Visualization** | DataCamp - Interactive Data Visualization with Bokeh | [DataCamp - Bokeh](https://www.datacamp.com/courses/interactive-data-visualization-with-bokeh) |
| **Big Data** | Apache Flink Tutorials | [Apache Flink Tutorials](https://ci.apache.org/projects/flink/flink-docs-release-1.14/learn-flink/) |
| **Big Data** | Microsoft Azure - Big Data and Analytics | [Azure Big Data](https://azure.microsoft.com/en-us/solutions/big-data/) |
| **Big Data** | DataCamp - Introduction to Spark with Python | [Introduction to Spark with Python](https://www.datacamp.com/courses/introduction-to-spark-with-python) |
| **Data Cleaning & Wrangling**| pandas - Python Data Analysis Library | [pandas Documentation](https://pandas.pydata.org/pandas-docs/stable/index.html) |
| **Data Cleaning & Wrangling**| DataCamp - Cleaning Data in R | [DataCamp - Cleaning Data in R](https://www.datacamp.com/courses/cleaning-data-in-r) |
| **Python Programming** | Real Python - Intermediate Python | [Real Python - Intermediate Python](https://realpython.com/courses/intermediate-python/) |
| **Python Programming** | SoloLearn - Python for Data Science | [SoloLearn - Python for Data Science](https://www.sololearn.com/Course/Python/) |
| **Data Science Communities** | Quora - Data Science Topic | [Quora - Data Science](https://www.quora.com/topic/Data-Science-1) |
| **Data Science Communities** | GitHub - Awesome Data Science | [Awesome Data Science](https://github.com/bulutyazilim/awesome-datascience) |
| **Data Science Blogs** | Simply Statistics Blog | [Simply Statistics Blog](https://simplystatistics.org/) |
| **Data Science Blogs** | Analytics Vidhya - Data Science Blog | [Analytics Vidhya Blog](https://www.analyticsvidhya.com/blog/) |
| **Data Science Blogs** | DataCamp - Data Science Blog | [DataCamp Blog](https://www.datacamp.com/community/blog) |
| **Data Science Blogs** | OpenAI - Research | [OpenAI Research](https://www.openai.com/research/) |
| **General Data Science** | Data Science Central | [Data Science Central](https://www.datasciencecentral.com/) |
| **General Data Science** | Udacity - Data Science Nanodegree Program | [Udacity - Data Science Nanodegree](https://www.udacity.com/course/data-scientist-nanodegree--nd025) |
| **General Data Science** | Harvard University - Data Science Certificate | [Harvard Data Science Certificate](https://online-learning.harvard.edu/series/data-science) |
| **Machine Learning** | Google's Machine Learning Crash Course | [Google's ML Crash Course](https://developers.google.com/machine-learning/crash-course) |
| **Machine Learning** | Carnegie Mellon University - Machine Learning with Large Datasets | [CMU ML with Large Datasets](https://www.youtube.com/playlist?list=PLTPQEx-31E9hWxpYuISr3Li02SZeLNzQc) |
| **Machine Learning** | scikit-learn Documentation | [scikit-learn Documentation](https://scikit-learn.org/stable/documentation.html) |
| **Deep Learning** | FastAI - Practical Deep Learning for Coders | [FastAI Deep Learning](https://course.fast.ai/) |
| **Deep Learning** | Neural Networks and Deep Learning by Michael Nielsen (Book) | [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com/) |
| **Deep Learning** | NVIDIA Deep Learning Institute - Fundamentals of Deep Learning for Computer Vision | [DLI Computer Vision](https://courses.nvidia.com/courses/course-v1:DLI+C-FX-01+V1/about) |
| **Statistics & Probability** | Coursera - Statistics with Python Specialization | [Statistics with Python Specialization](https://www.coursera.org/specializations/statistics-with-python) |
| **Statistics & Probability** | OpenIntro Statistics and Probability Textbook | [OpenIntro Statistics](https://www.openintro.org/book/stat/) |
| **Data Visualization** | Bokeh Documentation | [Bokeh Documentation](https://docs.bokeh.org/en/latest/index.html) |
| **Data Visualization** | DataCamp - Interactive Data Visualization with Plotly | [DataCamp - Plotly](https://www.datacamp.com/courses/interactive-data-visualization-with-plotly-in-python) |
| **Big Data** | IBM Big Data University | [IBM Big Data University](https://bigdatauniversity.com/) |
| **Big Data** | Hortonworks Data Platform | [Hortonworks](https://www.cloudera.com/products/hortonworks-data-platform.html) |
| **Big Data** | DataCamp - Introduction to PySpark | [DataCamp - PySpark](https://www.datacamp.com/courses/introduction-to-pyspark) |
| **Data Cleaning & Wrangling**| DataCamp - Cleaning Data in Python | [DataCamp - Cleaning Data in Python](https://www.datacamp.com/courses/cleaning-data-with-python) |
| **Data Cleaning & Wrangling**| Data Science at the Command Line | [Data Science at the Command Line](https://www.datascienceatthecommandline.com/) |
| **Python Programming** | Real Python | [Real Python](https://realpython.com/) |
| **Python Programming** | Kaggle - Python Tutorials | [Kaggle Python Tutorials](https://www.kaggle.com/learn/python) |
| **Data Science Communities** | Data Science Central Forum | [DSC Forum](https://www.datasciencecentral.com/forum/) |
| **Data Science Communities** | Stack Overflow - Data Science | [Stack Overflow - Data Science](https://stackoverflow.com/questions/tagged/data-science) |
| **Data Science Blogs** | Datafloq | [Datafloq](https://datafloq.com/) |
| **Data Science Blogs** | O'Reilly Data Science Blog | [O'Reilly Data Science Blog](https://www.oreilly.com/topics/data-science) |
| **Data Science Blogs** | Domino Data Science Blog | [Domino Blog](https://www.dominodatalab.com/blog/) |
| **General Data Science** | DataCamp - Introduction to Data Science | [DataCamp - Intro to Data Science](https://www.datacamp.com/courses/introduction-to-data-science) |
| **General Data Science** | Duke University - Statistics and Machine Learning Bootcamp | [Duke University Bootcamp](https://bootcamp.duke.edu/statistics/) |
| **General Data Science** | Springboard - Data Science Career Track | [Springboard](https://www.springboard.com/workshops/data-science-career-track/) |
| **Machine Learning** | Kaggle - Machine Learning | [Kaggle - ML](https://www.kaggle.com/learn/machine-learning) |
| **Machine Learning** | Google's Machine Learning Crash Course (TensorFlow) | [ML Crash Course](https://developers.google.com/machine-learning/crash-course) |
| **Machine Learning** | DataCamp - Supervised Learning with scikit-learn | [DataCamp - Supervised Learning](https://www.datacamp.com/courses/supervised-learning-with-scikit-learn) |
| **Deep Learning** | Coursera - Natural Language Processing in TensorFlow | [NLP in TensorFlow](https://www.coursera.org/learn/natural-language-processing-in-tensorflow) |
| **Deep Learning** | NVIDIA Deep Learning Institute - Deep Learning Fundamentals | [DLI Deep Learning Fundamentals](https://www.nvidia.com/en-gb/deep-learning-ai/education/) |
| **Deep Learning** | Coursera - Deep Learning Specialization by Andrew Ng | [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning) |
| **Statistics & Probability** | edX - Introduction to Statistics and Data Science using R | [edX - Statistics and Data Science](https://www.edx.org/professional-certificate/data-science) |
| **Statistics & Probability** | Khan Academy - Probability and Statistics | [Khan Academy - Stats](https://www.khanacademy.org/math/statistics-probability) |
| **Data Visualization** | Tableau Public | [Tableau Public](https://public.tableau.com/en-us/s/gallery) |
| **Data Visualization** | DataCamp - Introduction to Data Visualization with Python | [DataCamp - Data Viz with Python](https://www.datacamp.com/courses/introduction-to-data-visualization-with-python) |
| **Big Data** | Cloudera - Hadoop and Spark Training | [Cloudera Training](https://www.cloudera.com/) |
| **Big Data** | DataCamp - Introduction to Big Data with Spark | [DataCamp - Big Data with Spark](https://www.datacamp.com/courses/introduction-to-big-data-with-spark) |
| **Big Data** | IBM Db2 Big SQL | [IBM Db2 Big SQL](https://www.ibm.com/cloud/big-sql) |
| **Data Cleaning & Wrangling**| DataCamp - Cleaning Data in R | [DataCamp - Cleaning Data in R](https://www.datacamp.com/courses/cleaning-data-in-r) |
| **Data Cleaning & Wrangling**| Trifacta Wrangler | [Trifacta Wrangler](https://www.trifacta.com/products/wrangler/) |
| **Python Programming** | Codecademy - Python | [Codecademy - Python](https://www.codecademy.com/learn/learn-python-3) |
| **Python Programming** | Real Python - Python Basics | [Real Python - Python Basics](https://realpython.com/courses/python-basics/) |
| **Data Science Communities** | Reddit - r/datascience | [Reddit - r/datascience](https://www.reddit.com/r/datascience/) |
| **Data Science Communities** | Data Science Central Community | [DSC Community](https://www.datasciencecentral.com/) |
| **Data Science Blogs** | Towards Data Science on Medium | [Towards Data Science on Medium](https://towardsdatascience.com/) |
| **Data Science Blogs** | Simply Statistics Blog | [Simply Statistics Blog](https://simplystatistics.org/) |
| **Data Science Blogs** | DataCamp - Data Science Blog | [DataCamp Blog](https://www.datacamp.com/community/blog) |
| **Data Science Blogs** | Analytics Vidhya - Blog | [Analytics Vidhya Blog](https://www.analyticsvidhya.com/blog/) |