{"id":19590956,"url":"https://github.com/ahammadmejbah/ultimate-data-science-resources","last_synced_at":"2025-02-26T13:42:46.898Z","repository":{"id":213872324,"uuid":"734311659","full_name":"ahammadmejbah/Ultimate-Data-Science-Resources","owner":"ahammadmejbah","description":"🚀 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! 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align=\"center\"\u003e\n      \u003ch1\u003e \u003cimg src=\"https://github.com/BytesOfIntelligences/BytesOfIntelligences/blob/main/Exploring%20AI's%20Secretsss.png\" width=\"300px\"\u003e\u003cbr/\u003e Unlimited Data Science Resources 🤖🔬\u003c/h1\u003e\n     \u003c/div\u003e\n\u003cp align=\"center\"\u003e \u003ca href=\"http://bytesofintelligences.com/\" target=\"_blank\"\u003e\u003cimg alt=\"\" src=\"https://img.shields.io/badge/Website-EA4C89?style=normal\u0026logo=dribbble\u0026logoColor=white\" style=\"vertical-align:center\" /\u003e\u003c/a\u003e \u003ca href=\"https://twitter.com/AhammadMejbah\" target=\"_blank\"\u003e\u003cimg alt=\"\" src=\"https://img.shields.io/badge/Twitter-1DA1F2?style=normal\u0026logo=twitter\u0026logoColor=white\" style=\"vertical-align:center\" /\u003e\u003c/a\u003e \u003ca href=\"https://www.facebook.com/ahammadmejbah\" target=\"_blank\"\u003e\u003cimg alt=\"\" src=\"https://img.shields.io/badge/Facebook-1877F2?style=normal\u0026logo=facebook\u0026logoColor=white\" style=\"vertical-align:center\" /\u003e\u003c/a\u003e \u003ca href=\"https://www.instagram.com/BytesOfIntelligences/\" target=\"_blank\"\u003e\u003cimg alt=\"\" src=\"https://img.shields.io/badge/Instagram-E4405F?style=normal\u0026logo=instagram\u0026logoColor=white\" style=\"vertical-align:center\" /\u003e\u003c/a\u003e \u003ca href=\"https://www.linkedin.com/in/ahammadmejbah/}\" target=\"_blank\"\u003e\u003cimg alt=\"\" src=\"https://img.shields.io/badge/LinkedIn-0077B5?style=normal\u0026logo=linkedin\u0026logoColor=white\" style=\"vertical-align:center\" /\u003e\u003c/a\u003e \u003c/p\u003e\n\n\n| Category                     | Resource                                   | Link                                               |\n|------------------------------|--------------------------------------------|----------------------------------------------------|\n| **General Data Science**     | DataCamp                                   | [DataCamp](https://www.datacamp.com/)              |\n| **General Data Science**     | Kaggle                                     | [Kaggle](https://www.kaggle.com/)                  |\n| **General Data Science**     | Towards Data Science (Medium)              | [Towards Data Science](https://towardsdatascience.com/) |\n| **Machine Learning**         | Coursera - Andrew Ng's Machine Learning    | [Coursera - Machine Learning](https://www.coursera.org/learn/machine-learning) |\n| **Machine Learning**         | fast.ai                                    | [fast.ai](https://www.fast.ai/)                    |\n| **Deep Learning**            | Stanford University - CS231n (Convolutional Neural Networks) | [CS231n](http://cs231n.stanford.edu/)          |\n| **Deep Learning**            | Deeplearning.ai - Deep Learning Specialization | [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning) |\n| **Statistics \u0026 Probability** | Khan Academy - Statistics and Probability   | [Khan Academy - Statistics and Probability](https://www.khanacademy.org/math/statistics-probability) |\n| **Statistics \u0026 Probability** | StatQuest with Josh Starmer                 | [StatQuest](https://statquest.org/)                |\n| **Data Visualization**       | Tableau Public                             | [Tableau Public](https://public.tableau.com/en-us/s/gallery) |\n| **Data Visualization**       | D3.js - Data-Driven Documents              | [D3.js](https://d3js.org/)                          |\n| **Big Data**                 | Apache Hadoop                              | [Apache Hadoop](http://hadoop.apache.org/)         |\n| **Big Data**                 | Apache Spark                               | [Apache Spark](https://spark.apache.org/)          |\n| **Data Cleaning \u0026 Wrangling**| Pandas                                     | [Pandas](https://pandas.pydata.org/)               |\n| **Data Cleaning \u0026 Wrangling**| OpenRefine                                 | [OpenRefine](http://openrefine.org/)              |\n| **Python Programming**       | Real Python                               | [Real Python](https://realpython.com/)             |\n| **Python Programming**       | Codecademy - Python Course                 | [Codecademy - Python](https://www.codecademy.com/learn/learn-python) |\n| **Data Science Communities**  | Stack Overflow                             | [Stack Overflow](https://stackoverflow.com/)      |\n| **Data Science Communities**  | Reddit - r/datascience                    | [Reddit - r/datascience](https://www.reddit.com/r/datascience/) |\n| **Data Science Blogs**       | KDnuggets                                  | [KDnuggets](https://www.kdnuggets.com/)           |\n| **Data Science Blogs**       | Data Science Central                      | [Data Science Central](https://www.datasciencecentral.com/) |\n| **General Data Science**     | DataQuest                                  | [DataQuest](https://www.dataquest.io/)             |\n| **General Data Science**     | Analytics Vidhya                           | [Analytics Vidhya](https://www.analyticsvidhya.com/)|\n| **General Data Science**     | Mode Analytics                             | [Mode Analytics](https://mode.com/)                |\n| **Machine Learning**         | Google's Machine Learning Crash Course     | [Google's ML Crash Course](https://developers.google.com/machine-learning/crash-course) |\n| **Machine Learning**         | Berkeley's CS 189 - Introduction to Machine Learning | [CS 189](https://people.eecs.berkeley.edu/~jrs/189/) |\n| **Machine Learning**         | The Hundred-Page Machine Learning Book    | [Hundred-Page ML Book](http://themlbook.com/)      |\n| **Deep Learning**            | MIT OpenCourseWare - Introduction to Deep Learning | [MIT OCW - Deep Learning](http://introtodeeplearning.com/) |\n| **Deep Learning**            | NVIDIA Deep Learning Institute            | [NVIDIA DLI](https://www.nvidia.com/en-us/deep-learning-ai/education/) |\n| **Statistics \u0026 Probability** | Harvard's Statistics 110 - Probability    | [Harvard Stat 110](https://projects.iq.harvard.edu/stat110) |\n| **Statistics \u0026 Probability** | OLI - Statistics and Data Analysis        | [OLI - Statistics](https://oli.cmu.edu/courses/statistics-and-data-analysis/) |\n| **Data Visualization**       | Datawrapper                                | [Datawrapper](https://www.datawrapper.de/)        |\n| **Data Visualization**       | Flourish                                   | [Flourish](https://flourish.studio/)              |\n| **Big Data**                 | Cloudera                                   | [Cloudera](https://www.cloudera.com/)             |\n| **Big Data**                 | Databricks                                | [Databricks](https://databricks.com/)             |\n| **Data Cleaning \u0026 Wrangling**| Trifacta                                  | [Trifacta](https://www.trifacta.com/)             |\n| **Data Cleaning \u0026 Wrangling**| DataWrangler                              | [DataWrangler](https://github.com/datawrangler/DataWrangler) |\n| **Python Programming**       | PyBites                                   | [PyBites](https://codechalleng.es/)               |\n| **Python Programming**       | Full Stack Python                         | [Full Stack Python](https://www.fullstackpython.com/) |\n| **Data Science Communities**  | Kaggle Forums                             | [Kaggle Forums](https://www.kaggle.com/getting-started/78779) |\n| **Data Science Communities**  | Data Science Stack Exchange               | [Stack Exchange - Data Science](https://datascience.stackexchange.com/) |\n| **Data Science Blogs**       | Simply Statistics                         | [Simply Statistics](http://simplystatistics.org/)  |\n| **Data Science Blogs**       | FlowingData                               | [FlowingData](https://flowingdata.com/)          |\n| **Data Science Blogs**       | R-bloggers                                | [R-bloggers](https://www.r-bloggers.com/)         |\n| **Data Science Blogs**       | Analytics Vidhya Blog                     | [AV Blog](https://www.analyticsvidhya.com/blog/) |\n| **General Data Science**     | IBM Data Science Community                | [IBM Data Science Community](https://community.ibm.com/community/user/datascience) |\n| **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/) |\n| **General Data Science**     | Harvard's Data Science Course (CS109)     | [Harvard CS109](http://cs109.github.io/2015/)      |\n| **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) |\n| **Machine Learning**         | Analytics University by IBM               | [Analytics University](https://www.ibm.com/analytics/learn/) |\n| **Machine Learning**         | Sebastian Raschka's Machine Learning and Deep Learning Tutorials | [Sebastian Raschka's GitHub](https://github.com/rasbt/stat479-machine-learning-fs19) |\n| **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/)        |\n| **Deep Learning**            | TensorFlow Tutorials and Guides           | [TensorFlow Tutorials](https://www.tensorflow.org/tutorials) |\n| **Statistics \u0026 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/) |\n| **Statistics \u0026 Probability** | OpenIntro Statistics                      | [OpenIntro Statistics](https://www.openintro.org/book/stat/) |\n| **Data Visualization**       | Data Visualization Society               | [Data Visualization Society](https://www.datavisualizationsociety.com/) |\n| **Data Visualization**       | Chartio                                   | [Chartio](https://chartio.com/learn/)              |\n| **Big Data**                 | BigML                                     | [BigML](https://bigml.com/)                       |\n| **Big Data**                 | Apache Flink                              | [Apache Flink](https://flink.apache.org/)         |\n| **Data Cleaning \u0026 Wrangling**| KNIME                                    | [KNIME](https://www.knime.com/)                   |\n| **Data Cleaning \u0026 Wrangling**| DataCamp - Cleaning Data in Python        | [DataCamp - Cleaning Data in Python](https://www.datacamp.com/courses/cleaning-data-with-python) |\n| **Python Programming**       | Real Python - Intermediate Python        | [Real Python - Intermediate Python](https://realpython.com/courses/intermediate-python/) |\n| **Python Programming**       | Python.org                                | [Python Official Website](https://www.python.org/)|\n| **Data Science Communities**  | Data Science Central Forum                | [DSC Forum](https://www.datasciencecentral.com/forum/) |\n| **Data Science Communities**  | Data Science Weekly                       | [Data Science Weekly](https://www.datascienceweekly.org/) |\n| **Data Science Blogs**       | Towards AI                               | [Towards AI](https://pub.towardsai.net/)          |\n| **Data Science Blogs**       | DataFlair                                | [DataFlair](https://data-flair.training/blogs/)   |\n| **General Data Science**     | Springboard Data Science Career Track      | [Springboard](https://www.springboard.com/workshops/data-science-career-track/) |\n| **General Data Science**     | 365 Data Science                          | [365 Data Science](https://365datascience.com/)    |\n| **General Data Science**     | Microsoft Learn - Data Science            | [Microsoft Learn - Data Science](https://learn.microsoft.com/en-us/training/browse/?term=data%20science) |\n| **Machine Learning**         | Kaggle Courses                            | [Kaggle Courses](https://www.kaggle.com/learn/overview) |\n| **Machine Learning**         | Google Cloud Training                     | [Google Cloud Training](https://cloud.google.com/training/) |\n| **Machine Learning**         | Pattern Recognition and Machine Learning by Christopher Bishop (Book) | [Book Link](https://www.microsoft.com/en-us/research/people/cmbishop/prml/) |\n| **Deep Learning**            | Stanford University - CS224n (Natural Language Processing with Deep Learning) | [CS224n](http://web.stanford.edu/class/cs224n/)   |\n| **Deep Learning**            | FastAI Practical Deep Learning for Coders  | [FastAI](https://course.fast.ai/)                  |\n| **Statistics \u0026 Probability** | Statistics.com                            | [Statistics.com](https://www.statistics.com/)     |\n| **Statistics \u0026 Probability** | The Probability and Statistics Cookbook   | [Probability and Statistics Cookbook](https://statistics.laerd.com/) |\n| **Data Visualization**       | Storytelling with Data                    | [Storytelling with Data](https://www.storytellingwithdata.com/) |\n| **Data Visualization**       | Information is Beautiful                  | [Information is Beautiful](https://informationisbeautiful.net/) |\n| **Big Data**                 | Hortonworks Tutorials                     | [Hortonworks Tutorials](https://hortonworks.com/tutorials/) |\n| **Big Data**                 | DataCamp - Big Data Fundamentals          | [DataCamp - Big Data Fundamentals](https://www.datacamp.com/courses/big-data-fundamentals) |\n| **Data Cleaning \u0026 Wrangling**| Great Expectations                        | [Great Expectations](https://greatexpectations.io/) |\n| **Data Cleaning \u0026 Wrangling**| DataCamp - Cleaning Data in R              | [DataCamp - Cleaning Data in R](https://www.datacamp.com/courses/cleaning-data-in-r) |\n| **Python Programming**       | HackerRank - Python                       | [HackerRank - Python](https://www.hackerrank.com/domains/tutorials/10-days-of-python) |\n| **Python Programming**       | Real Python - Python Basics               | [Real Python - Python Basics](https://realpython.com/courses/python-basics/) |\n| **Data Science Communities**  | Data Science Society                      | [Data Science Society](https://datasciencesociety.net/) |\n| **Data Science Communities**  | Towards Data Science on Medium            | [Towards Data Science on Medium](https://towardsdatascience.com/) |\n| **Data Science Blogs**       | Data School                               | [Data School](https://www.dataschool.io/)         |\n| **Data Science Blogs**       | Simply Python                             | [Simply Python](https://simplypython.io/)         |\n| **General Data Science**     | Harvard's CS50 - Introduction to Computer Science | [CS50](https://cs50.harvard.edu/)                |\n| **General Data Science**     | Duke University - Data Science and Machine Learning Bootcamp | [Duke University Bootcamp](https://bootcamp.duke.edu/data/) |\n| **General Data Science**     | LinkedIn Learning - Data Science and Analytics Courses | [LinkedIn Learning - Data Science](https://www.linkedin.com/learning/topics/data-science) |\n| **Machine Learning**         | Analytics Vidhya - Machine Learning Course  | [Analytics Vidhya - ML Course](https://courses.analyticsvidhya.com/courses/introduction-to-machine-learning) |\n| **Machine Learning**         | IBM Watson Studio                          | [IBM Watson Studio](https://www.ibm.com/cloud/watson-studio) |\n| **Machine Learning**         | Google's Teachable Machine                | [Teachable Machine](https://teachablemachine.withgoogle.com/) |\n| **Deep Learning**            | PyTorch Tutorials                         | [PyTorch Tutorials](https://pytorch.org/tutorials/) |\n| **Deep Learning**            | NVIDIA Deep Learning SDK                  | [NVIDIA Deep Learning SDK](https://developer.nvidia.com/deep-learning-sdk) |\n| **Deep Learning**            | Stanford University - CS231n (Convolutional Neural Networks for Visual Recognition) | [CS231n](http://cs231n.stanford.edu/)          |\n| **Statistics \u0026 Probability** | OpenStax Introductory Statistics           | [OpenStax Intro Stats](https://openstax.org/details/books/introductory-statistics) |\n| **Statistics \u0026 Probability** | Carnegie Mellon University - Probability and Statistics | [CMU Probability and Stats](https://www.cmu.edu/oli/courses/free-open/statistics-course-details/) |\n| **Data Visualization**       | RAWGraphs                                 | [RAWGraphs](https://rawgraphs.io/)                |\n| **Data Visualization**       | DataCamp - Data Visualization with ggplot2 | [DataCamp - ggplot2](https://www.datacamp.com/courses/data-visualization-with-ggplot2-1) |\n| **Big Data**                 | MongoDB University                        | [MongoDB University](https://university.mongodb.com/) |\n| **Big Data**                 | Apache Kafka Tutorials                    | [Apache Kafka Tutorials](https://kafka.apache.org/documentation/) |\n| **Big Data**                 | Hadoop - MapReduce Tutorial               | [Hadoop MapReduce Tutorial](https://hadoop.apache.org/docs/current/hadoop-mapreduce-client/hadoop-mapreduce-client-core/MapReduceTutorial.html) |\n| **Data Cleaning \u0026 Wrangling**| DataWrangler by Trifacta                  | [DataWrangler](https://www.trifacta.com/products/wrangler/) |\n| **Data Cleaning \u0026 Wrangling**| pandas-profiling                          | [pandas-profiling](https://github.com/pandas-profiling/pandas-profiling) |\n| **Python Programming**       | CodeSignal - Python Practice             | [CodeSignal - Python](https://codesignal.com/)   |\n| **Python Programming**       | Python for Everybody by University of Michigan on Coursera | [Python for Everybody](https://www.coursera.org/specializations/python) |\n| **Data Science Communities**  | Data Science Association                  | [Data Science Association](https://www.datascienceassn.org/) |\n| **Data Science Communities**  | Data Science Stack by Data Science Central | [Data Science Stack](https://datascience.stackexchange.com/) |\n| **Data Science Blogs**       | DataRobot Blog                            | [DataRobot Blog](https://www.datarobot.com/blog/) |\n| **Data Science Blogs**       | Machine Learning Mastery by Jason Brownlee | [ML Mastery](https://machinelearningmastery.com/start-here/#algorithms) |\n| **General Data Science**     | MIT OpenCourseWare - Introduction to Data Science | [MIT OCW - Data Science](https://ocw.mit.edu/courses/intro-programming/) |\n| **General Data Science**     | edX - Data Science MicroMasters Program     | [edX - Data Science](https://www.edx.org/micromasters/mitx-statistics-and-data-science) |\n| **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/) |\n| **Machine Learning**         | FastAI Practical Machine Learning for Coders | [FastAI ML](https://course.fast.ai/ml)             |\n| **Machine Learning**         | Analytics Vidhya - Free Machine Learning Course | [Analytics Vidhya - Free ML Course](https://courses.analyticsvidhya.com/courses/free-machine-learning) |\n| **Machine Learning**         | Microsoft AI School                       | [Microsoft AI School](https://aischool.microsoft.com/en-us/home) |\n| **Deep Learning**            | TensorFlow Tutorials                      | [TensorFlow Tutorials](https://www.tensorflow.org/tutorials) |\n| **Deep Learning**            | NVIDIA Deep Learning Institute - Fundamentals of Deep Learning | [DLI Fundamentals](https://www.nvidia.com/en-gb/deep-learning-ai/education/) |\n| **Deep Learning**            | Dive into Deep Learning with MXNet         | [Dive into DL with MXNet](https://d2l.ai/)        |\n| **Statistics \u0026 Probability** | Khan Academy - Statistics and Probability   | [Khan Academy - Stats](https://www.khanacademy.org/math/statistics-probability) |\n| **Statistics \u0026 Probability** | OpenIntro Statistics                       | [OpenIntro Statistics](https://www.openintro.org/book/stat/) |\n| **Data Visualization**       | Seaborn Documentation                      | [Seaborn Documentation](https://seaborn.pydata.org/) |\n| **Data Visualization**       | Observable - Data Visualization            | [Observable Data Viz](https://observablehq.com/@observablehq/learning-d3) |\n| **Big Data**                 | Apache HBase Documentation                 | [HBase Documentation](https://hbase.apache.org/book.html) |\n| **Big Data**                 | Udacity - Big Data Analytics with Spark     | [Udacity - Big Data Analytics](https://www.udacity.com/course/big-data-analytics-with-spark--ud651) |\n| **Big Data**                 | Big Data University by IBM                 | [Big Data University](https://www.ibm.com/cloud/learn/big-data-university) |\n| **Data Cleaning \u0026 Wrangling**| Google Refine (OpenRefine)                 | [OpenRefine](http://openrefine.org/)              |\n| **Data Cleaning \u0026 Wrangling**| DataCamp - Cleaning Data in Python          | [DataCamp - Cleaning Data in Python](https://www.datacamp.com/courses/cleaning-data-with-python) |\n| **Python Programming**       | The Hitchhiker's Guide to Python           | [Hitchhiker's Guide to Python](https://docs.python-guide.org/) |\n| **Python Programming**       | PyBites                                   | [PyBites](https://codechalleng.es/)               |\n| **Data Science Communities**  | Reddit - r/MachineLearning                | [Reddit - r/MachineLearning](https://www.reddit.com/r/MachineLearning/) |\n| **Data Science Communities**  | LinkedIn Data Science Group               | [LinkedIn - Data Science Group](https://www.linkedin.com/groups/12154862/) |\n| **Data Science Blogs**       | Dataquest Blog                            | [Dataquest Blog](https://www.dataquest.io/blog/)  |\n| **Data Science Blogs**       | The Data Incubator Blog                   | [Data Incubator Blog](https://blog.thedataincubator.com/) |\n| **Data Science Blogs**       | KDnuggets Blog                            | [KDnuggets Blog](https://www.kdnuggets.com/)      |\n| **Data Science Blogs**       | Google AI Blog                            | [Google AI Blog](https://ai.googleblog.com/)      |\n| **General Data Science**     | Berkeley Data Science Modules              | [Berkeley Data Science Modules](https://data.berkeley.edu/education/courses/data-8) |\n| **General Data Science**     | Udacity - Data Analyst Nanodegree Program  | [Udacity - Data Analyst Nanodegree](https://www.udacity.com/course/data-analyst-nanodegree--nd002) |\n| **General Data Science**     | Analytics Vidhya - Data Science Blog       | [Analytics Vidhya Blog](https://www.analyticsvidhya.com/blog/) |\n| **Machine Learning**         | Imperial College London - Machine Learning for Beginners | [Machine Learning for Beginners](https://www.coursera.org/learn/data-science-machine-learning) |\n| **Machine Learning**         | Analytics Vidhya - Free Machine Learning for Beginners Course | [Free ML for Beginners](https://courses.analyticsvidhya.com/courses/aiforbeginners) |\n| **Machine Learning**         | Data School - Machine Learning Mini-Courses | [Data School Mini-Courses](https://www.dataschool.io/courses/) |\n| **Deep Learning**            | Coursera - Deep Learning Specialization by Andrew Ng | [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning) |\n| **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) |\n| **Deep Learning**            | TensorFlow Playground                     | [TensorFlow Playground](https://playground.tensorflow.org/) |\n| **Statistics \u0026 Probability** | Khan Academy - Inferential Statistics       | [Khan Academy - Inferential Stats](https://www.khanacademy.org/math/statistics-probability/inference-categorical) |\n| **Statistics \u0026 Probability** | Coursera - Statistics with R Specialization | [Statistics with R Specialization](https://www.coursera.org/specializations/statistics) |\n| **Data Visualization**       | DataCamp - Data Visualization with Matplotlib | [DataCamp - Matplotlib](https://www.datacamp.com/courses/introduction-to-data-visualization-with-python) |\n| **Data Visualization**       | Flourish Studio                           | [Flourish Studio](https://flourish.studio/)      |\n| **Big Data**                 | Dask - Parallel Computing in Python        | [Dask](https://dask.org/)                          |\n| **Big Data**                 | Udacity - Big Data Nanodegree Program      | [Udacity - Big Data Nanodegree](https://www.udacity.com/course/big-data-nanodegree--nd099) |\n| **Big Data**                 | Google Cloud BigQuery                     | [Google BigQuery](https://cloud.google.com/bigquery) |\n| **Data Cleaning \u0026 Wrangling**| Trifacta Wrangler                         | [Trifacta Wrangler](https://www.trifacta.com/products/wrangler/) |\n| **Data Cleaning \u0026 Wrangling**| DataCamp - Cleaning Data in SQL            | [DataCamp - Cleaning Data in SQL](https://www.datacamp.com/courses/cleaning-data-in-sql) |\n| **Python Programming**       | W3Schools - Python Tutorial               | [W3Schools Python Tutorial](https://www.w3schools.com/python/) |\n| **Python Programming**       | SoloLearn - Python Course                 | [SoloLearn - Python Course](https://www.sololearn.com/Course/Python/) |\n| **Data Science Communities**  | Data Science Stack Exchange - Cross Validated | [Cross Validated](https://stats.stackexchange.com/) |\n| **Data Science Communities**  | Reddit - r/dataviz                       | [Reddit - r/dataviz](https://www.reddit.com/r/dataviz/) |\n| **Data Science Blogs**       | Randal S. Olson - Data Science Blog       | [Randal S. Olson's Blog](http://www.randalolson.com/blog/) |\n| **Data Science Blogs**       | Analytics Vidhya - Interview Experiences  | [AV Interview Experiences](https://www.analyticsvidhya.com/blog/category/interview-experiences/) |\n| **Data Science Blogs**       | FiveThirtyEight                           | [FiveThirtyEight](https://fivethirtyeight.com/) |\n| **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) |\n| **General Data Science**     | Data Science Dojo                         | [Data Science Dojo](https://datasciencedojo.com/) |\n| **General Data Science**     | Analytics Vidhya - Data Science for Beginners | [Data Science for Beginners](https://www.analyticsvidhya.com/blog/2018/11/data-science-for-beginners/) |\n| **Machine Learning**         | Kaggle Courses                            | [Kaggle Courses](https://www.kaggle.com/learn/overview) |\n| **Machine Learning**         | Oxford University - Machine Learning for Data Science | [Oxford Machine Learning](https://www.conted.ox.ac.uk/about/machine-learning-for-data-science) |\n| **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) |\n| **Deep Learning**            | Kaggle - TensorFlow Tutorials             | [Kaggle TensorFlow Tutorials](https://www.kaggle.com/learn/tensorflow) |\n| **Deep Learning**            | Stanford University - CS224d (Natural Language Processing with Deep Learning) | [CS224d](http://cs224d.stanford.edu/)            |\n| **Deep Learning**            | Coursera - Sequence Models by Andrew Ng    | [Sequence Models](https://www.coursera.org/learn/nlp-sequence-models) |\n| **Statistics \u0026 Probability** | Harvard University - Statistics 110: Probability | [Harvard Stat 110](https://projects.iq.harvard.edu/stat110) |\n| **Statistics \u0026 Probability** | Coursera - Bayesian Statistics             | [Bayesian Statistics](https://www.coursera.org/learn/bayesian-statistics) |\n| **Data Visualization**       | Plotly                                    | [Plotly](https://plotly.com/)                      |\n| **Data Visualization**       | DataCamp - Interactive Data Visualization with Bokeh | [DataCamp - Bokeh](https://www.datacamp.com/courses/interactive-data-visualization-with-bokeh) |\n| **Big Data**                 | Apache Flink Tutorials                    | [Apache Flink Tutorials](https://ci.apache.org/projects/flink/flink-docs-release-1.14/learn-flink/) |\n| **Big Data**                 | Microsoft Azure - Big Data and Analytics  | [Azure Big Data](https://azure.microsoft.com/en-us/solutions/big-data/) |\n| **Big Data**                 | DataCamp - Introduction to Spark with Python | [Introduction to Spark with Python](https://www.datacamp.com/courses/introduction-to-spark-with-python) |\n| **Data Cleaning \u0026 Wrangling**| pandas - Python Data Analysis Library      | [pandas Documentation](https://pandas.pydata.org/pandas-docs/stable/index.html) |\n| **Data Cleaning \u0026 Wrangling**| DataCamp - Cleaning Data in R              | [DataCamp - Cleaning Data in R](https://www.datacamp.com/courses/cleaning-data-in-r) |\n| **Python Programming**       | Real Python - Intermediate Python        | [Real Python - Intermediate Python](https://realpython.com/courses/intermediate-python/) |\n| **Python Programming**       | SoloLearn - Python for Data Science       | [SoloLearn - Python for Data Science](https://www.sololearn.com/Course/Python/) |\n| **Data Science Communities**  | Quora - Data Science Topic                | [Quora - Data Science](https://www.quora.com/topic/Data-Science-1) |\n| **Data Science Communities**  | GitHub - Awesome Data Science             | [Awesome Data Science](https://github.com/bulutyazilim/awesome-datascience) |\n| **Data Science Blogs**       | Simply Statistics Blog                    | [Simply Statistics Blog](https://simplystatistics.org/) |\n| **Data Science Blogs**       | Analytics Vidhya - Data Science Blog       | [Analytics Vidhya Blog](https://www.analyticsvidhya.com/blog/) |\n| **Data Science Blogs**       | DataCamp - Data Science Blog              | [DataCamp Blog](https://www.datacamp.com/community/blog) |\n| **Data Science Blogs**       | OpenAI - Research                           | [OpenAI Research](https://www.openai.com/research/) |\n| **General Data Science**     | Data Science Central                      | [Data Science Central](https://www.datasciencecentral.com/) |\n| **General Data Science**     | Udacity - Data Science Nanodegree Program  | [Udacity - Data Science Nanodegree](https://www.udacity.com/course/data-scientist-nanodegree--nd025) |\n| **General Data Science**     | Harvard University - Data Science Certificate | [Harvard Data Science Certificate](https://online-learning.harvard.edu/series/data-science) |\n| **Machine Learning**         | Google's Machine Learning Crash Course     | [Google's ML Crash Course](https://developers.google.com/machine-learning/crash-course) |\n| **Machine Learning**         | Carnegie Mellon University - Machine Learning with Large Datasets | [CMU ML with Large Datasets](https://www.youtube.com/playlist?list=PLTPQEx-31E9hWxpYuISr3Li02SZeLNzQc) |\n| **Machine Learning**         | scikit-learn Documentation                | [scikit-learn Documentation](https://scikit-learn.org/stable/documentation.html) |\n| **Deep Learning**            | FastAI - Practical Deep Learning for Coders | [FastAI Deep Learning](https://course.fast.ai/)   |\n| **Deep Learning**            | Neural Networks and Deep Learning by Michael Nielsen (Book) | [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com/) |\n| **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) |\n| **Statistics \u0026 Probability** | Coursera - Statistics with Python Specialization | [Statistics with Python Specialization](https://www.coursera.org/specializations/statistics-with-python) |\n| **Statistics \u0026 Probability** | OpenIntro Statistics and Probability Textbook | [OpenIntro Statistics](https://www.openintro.org/book/stat/) |\n| **Data Visualization**       | Bokeh Documentation                       | [Bokeh Documentation](https://docs.bokeh.org/en/latest/index.html) |\n| **Data Visualization**       | DataCamp - Interactive Data Visualization with Plotly | [DataCamp - Plotly](https://www.datacamp.com/courses/interactive-data-visualization-with-plotly-in-python) |\n| **Big Data**                 | IBM Big Data University                   | [IBM Big Data University](https://bigdatauniversity.com/) |\n| **Big Data**                 | Hortonworks Data Platform                 | [Hortonworks](https://www.cloudera.com/products/hortonworks-data-platform.html) |\n| **Big Data**                 | DataCamp - Introduction to PySpark         | [DataCamp - PySpark](https://www.datacamp.com/courses/introduction-to-pyspark) |\n| **Data Cleaning \u0026 Wrangling**| DataCamp - Cleaning Data in Python          | [DataCamp - Cleaning Data in Python](https://www.datacamp.com/courses/cleaning-data-with-python) |\n| **Data Cleaning \u0026 Wrangling**| Data Science at the Command Line           | [Data Science at the Command Line](https://www.datascienceatthecommandline.com/) |\n| **Python Programming**       | Real Python                               | [Real Python](https://realpython.com/)             |\n| **Python Programming**       | Kaggle - Python Tutorials                 | [Kaggle Python Tutorials](https://www.kaggle.com/learn/python) |\n| **Data Science Communities**  | Data Science Central Forum                | [DSC Forum](https://www.datasciencecentral.com/forum/) |\n| **Data Science Communities**  | Stack Overflow - Data Science             | [Stack Overflow - Data Science](https://stackoverflow.com/questions/tagged/data-science) |\n| **Data Science Blogs**       | Datafloq                                  | [Datafloq](https://datafloq.com/)                 |\n| **Data Science Blogs**       | O'Reilly Data Science Blog                | [O'Reilly Data Science Blog](https://www.oreilly.com/topics/data-science) |\n| **Data Science Blogs**       | Domino Data Science Blog                  | [Domino Blog](https://www.dominodatalab.com/blog/) |\n| **General Data Science**     | DataCamp - Introduction to Data Science    | [DataCamp - Intro to Data Science](https://www.datacamp.com/courses/introduction-to-data-science) |\n| **General Data Science**     | Duke University - Statistics and Machine Learning Bootcamp | [Duke University Bootcamp](https://bootcamp.duke.edu/statistics/) |\n| **General Data Science**     | Springboard - Data Science Career Track    | [Springboard](https://www.springboard.com/workshops/data-science-career-track/) |\n| **Machine Learning**         | Kaggle - Machine Learning                  | [Kaggle - ML](https://www.kaggle.com/learn/machine-learning) |\n| **Machine Learning**         | Google's Machine Learning Crash Course (TensorFlow) | [ML Crash Course](https://developers.google.com/machine-learning/crash-course) |\n| **Machine Learning**         | DataCamp - Supervised Learning with scikit-learn | [DataCamp - Supervised Learning](https://www.datacamp.com/courses/supervised-learning-with-scikit-learn) |\n| **Deep Learning**            | Coursera - Natural Language Processing in TensorFlow | [NLP in TensorFlow](https://www.coursera.org/learn/natural-language-processing-in-tensorflow) |\n| **Deep Learning**            | NVIDIA Deep Learning Institute - Deep Learning Fundamentals | [DLI Deep Learning Fundamentals](https://www.nvidia.com/en-gb/deep-learning-ai/education/) |\n| **Deep Learning**            | Coursera - Deep Learning Specialization by Andrew Ng | [Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning) |\n| **Statistics \u0026 Probability** | edX - Introduction to Statistics and Data Science using R | [edX - Statistics and Data Science](https://www.edx.org/professional-certificate/data-science) |\n| **Statistics \u0026 Probability** | Khan Academy - Probability and Statistics   | [Khan Academy - Stats](https://www.khanacademy.org/math/statistics-probability) |\n| **Data Visualization**       | Tableau Public                            | [Tableau Public](https://public.tableau.com/en-us/s/gallery) |\n| **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) |\n| **Big Data**                 | Cloudera - Hadoop and Spark Training      | [Cloudera Training](https://www.cloudera.com/)    |\n| **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) |\n| **Big Data**                 | IBM Db2 Big SQL                           | [IBM Db2 Big SQL](https://www.ibm.com/cloud/big-sql) |\n| **Data Cleaning \u0026 Wrangling**| DataCamp - Cleaning Data in R              | [DataCamp - Cleaning Data in R](https://www.datacamp.com/courses/cleaning-data-in-r) |\n| **Data Cleaning \u0026 Wrangling**| Trifacta Wrangler                         | [Trifacta Wrangler](https://www.trifacta.com/products/wrangler/) |\n| **Python Programming**       | Codecademy - Python                       | [Codecademy - Python](https://www.codecademy.com/learn/learn-python-3) |\n| **Python Programming**       | Real Python - Python Basics               | [Real Python - Python Basics](https://realpython.com/courses/python-basics/) |\n| **Data Science Communities**  | Reddit - r/datascience                    | [Reddit - r/datascience](https://www.reddit.com/r/datascience/) |\n| **Data Science Communities**  | Data Science Central Community            | [DSC Community](https://www.datasciencecentral.com/) |\n| **Data Science Blogs**       | Towards Data Science on Medium            | [Towards Data Science on Medium](https://towardsdatascience.com/) |\n| **Data Science Blogs**       | Simply Statistics Blog                    | [Simply Statistics Blog](https://simplystatistics.org/) |\n| **Data Science Blogs**       | DataCamp - Data Science Blog              | [DataCamp Blog](https://www.datacamp.com/community/blog) |\n| **Data Science Blogs**       | Analytics Vidhya - Blog                   | [Analytics Vidhya Blog](https://www.analyticsvidhya.com/blog/) |\n\u003c!-- \u003c/\u003e with 💛 by readMD (https://readmd.itsvg.in) --\u003e\n    \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fahammadmejbah%2Fultimate-data-science-resources","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fahammadmejbah%2Fultimate-data-science-resources","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fahammadmejbah%2Fultimate-data-science-resources/lists"}