Category | Resource | Link |
---|---|---|
General Data Science | DataCamp | DataCamp |
General Data Science | Kaggle | Kaggle |
General Data Science | Towards Data Science (Medium) | Towards Data Science |
Machine Learning | Coursera - Andrew Ng's Machine Learning | Coursera - Machine Learning |
Machine Learning | fast.ai | fast.ai |
Deep Learning | Stanford University - CS231n (Convolutional Neural Networks) | CS231n |
Deep Learning | Deeplearning.ai - Deep Learning Specialization | Deep Learning Specialization |
Statistics & Probability | Khan Academy - Statistics and Probability | Khan Academy - Statistics and Probability |
Statistics & Probability | StatQuest with Josh Starmer | StatQuest |
Data Visualization | Tableau Public | Tableau Public |
Data Visualization | D3.js - Data-Driven Documents | D3.js |
Big Data | Apache Hadoop | Apache Hadoop |
Big Data | Apache Spark | Apache Spark |
Data Cleaning & Wrangling | Pandas | Pandas |
Data Cleaning & Wrangling | OpenRefine | OpenRefine |
Python Programming | Real Python | Real Python |
Python Programming | Codecademy - Python Course | Codecademy - Python |
Data Science Communities | Stack Overflow | Stack Overflow |
Data Science Communities | Reddit - r/datascience | Reddit - r/datascience |
Data Science Blogs | KDnuggets | KDnuggets |
Data Science Blogs | Data Science Central | Data Science Central |
General Data Science | DataQuest | DataQuest |
General Data Science | Analytics Vidhya | Analytics Vidhya |
General Data Science | Mode Analytics | Mode Analytics |
Machine Learning | Google's Machine Learning Crash Course | Google's ML Crash Course |
Machine Learning | Berkeley's CS 189 - Introduction to Machine Learning | CS 189 |
Machine Learning | The Hundred-Page Machine Learning Book | Hundred-Page ML Book |
Deep Learning | MIT OpenCourseWare - Introduction to Deep Learning | MIT OCW - Deep Learning |
Deep Learning | NVIDIA Deep Learning Institute | NVIDIA DLI |
Statistics & Probability | Harvard's Statistics 110 - Probability | Harvard Stat 110 |
Statistics & Probability | OLI - Statistics and Data Analysis | OLI - Statistics |
Data Visualization | Datawrapper | Datawrapper |
Data Visualization | Flourish | Flourish |
Big Data | Cloudera | Cloudera |
Big Data | Databricks | Databricks |
Data Cleaning & Wrangling | Trifacta | Trifacta |
Data Cleaning & Wrangling | DataWrangler | DataWrangler |
Python Programming | PyBites | PyBites |
Python Programming | Full Stack Python | Full Stack Python |
Data Science Communities | Kaggle Forums | Kaggle Forums |
Data Science Communities | Data Science Stack Exchange | Stack Exchange - Data Science |
Data Science Blogs | Simply Statistics | Simply Statistics |
Data Science Blogs | FlowingData | FlowingData |
Data Science Blogs | R-bloggers | R-bloggers |
Data Science Blogs | Analytics Vidhya Blog | AV Blog |
General Data Science | IBM Data Science Community | IBM Data Science Community |
General Data Science | Udemy - Data Science and Machine Learning Bootcamp | Udemy - Data Science Bootcamp |
General Data Science | Harvard's Data Science Course (CS109) | Harvard CS109 |
Machine Learning | MIT OpenCourseWare - Introduction to Computational Thinking and Data Science | MIT OCW - Computational Thinking |
Machine Learning | Analytics University by IBM | Analytics University |
Machine Learning | Sebastian Raschka's Machine Learning and Deep Learning Tutorials | Sebastian Raschka's GitHub |
Deep Learning | Dive into Deep Learning by Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola | Dive into Deep Learning |
Deep Learning | TensorFlow Tutorials and Guides | TensorFlow Tutorials |
Statistics & Probability | MIT OpenCourseWare - Introduction to Probability and Statistics | MIT OCW - Probability and Statistics |
Statistics & Probability | OpenIntro Statistics | OpenIntro Statistics |
Data Visualization | Data Visualization Society | Data Visualization Society |
Data Visualization | Chartio | Chartio |
Big Data | BigML | BigML |
Big Data | Apache Flink | Apache Flink |
Data Cleaning & Wrangling | KNIME | KNIME |
Data Cleaning & Wrangling | DataCamp - Cleaning Data in Python | DataCamp - Cleaning Data in Python |
Python Programming | Real Python - Intermediate Python | Real Python - Intermediate Python |
Python Programming | Python.org | Python Official Website |
Data Science Communities | Data Science Central Forum | DSC Forum |
Data Science Communities | Data Science Weekly | Data Science Weekly |
Data Science Blogs | Towards AI | Towards AI |
Data Science Blogs | DataFlair | DataFlair |
General Data Science | Springboard Data Science Career Track | Springboard |
General Data Science | 365 Data Science | 365 Data Science |
General Data Science | Microsoft Learn - Data Science | Microsoft Learn - Data Science |
Machine Learning | Kaggle Courses | Kaggle Courses |
Machine Learning | Google Cloud Training | Google Cloud Training |
Machine Learning | Pattern Recognition and Machine Learning by Christopher Bishop (Book) | Book Link |
Deep Learning | Stanford University - CS224n (Natural Language Processing with Deep Learning) | CS224n |
Deep Learning | FastAI Practical Deep Learning for Coders | FastAI |
Statistics & Probability | Statistics.com | Statistics.com |
Statistics & Probability | The Probability and Statistics Cookbook | Probability and Statistics Cookbook |
Data Visualization | Storytelling with Data | Storytelling with Data |
Data Visualization | Information is Beautiful | Information is Beautiful |
Big Data | Hortonworks Tutorials | Hortonworks Tutorials |
Big Data | DataCamp - Big Data Fundamentals | DataCamp - Big Data Fundamentals |
Data Cleaning & Wrangling | Great Expectations | Great Expectations |
Data Cleaning & Wrangling | DataCamp - Cleaning Data in R | DataCamp - Cleaning Data in R |
Python Programming | HackerRank - Python | HackerRank - Python |
Python Programming | Real Python - Python Basics | Real Python - Python Basics |
Data Science Communities | Data Science Society | Data Science Society |
Data Science Communities | Towards Data Science on Medium | Towards Data Science on Medium |
Data Science Blogs | Data School | Data School |
Data Science Blogs | Simply Python | Simply Python |
General Data Science | Harvard's CS50 - Introduction to Computer Science | CS50 |
General Data Science | Duke University - Data Science and Machine Learning Bootcamp | Duke University Bootcamp |
General Data Science | LinkedIn Learning - Data Science and Analytics Courses | LinkedIn Learning - Data Science |
Machine Learning | Analytics Vidhya - Machine Learning Course | Analytics Vidhya - ML Course |
Machine Learning | IBM Watson Studio | IBM Watson Studio |
Machine Learning | Google's Teachable Machine | Teachable Machine |
Deep Learning | PyTorch Tutorials | PyTorch Tutorials |
Deep Learning | NVIDIA Deep Learning SDK | NVIDIA Deep Learning SDK |
Deep Learning | Stanford University - CS231n (Convolutional Neural Networks for Visual Recognition) | CS231n |
Statistics & Probability | OpenStax Introductory Statistics | OpenStax Intro Stats |
Statistics & Probability | Carnegie Mellon University - Probability and Statistics | CMU Probability and Stats |
Data Visualization | RAWGraphs | RAWGraphs |
Data Visualization | DataCamp - Data Visualization with ggplot2 | DataCamp - ggplot2 |
Big Data | MongoDB University | MongoDB University |
Big Data | Apache Kafka Tutorials | Apache Kafka Tutorials |
Big Data | Hadoop - MapReduce Tutorial | Hadoop MapReduce Tutorial |
Data Cleaning & Wrangling | DataWrangler by Trifacta | DataWrangler |
Data Cleaning & Wrangling | pandas-profiling | pandas-profiling |
Python Programming | CodeSignal - Python Practice | CodeSignal - Python |
Python Programming | Python for Everybody by University of Michigan on Coursera | Python for Everybody |
Data Science Communities | Data Science Association | Data Science Association |
Data Science Communities | Data Science Stack by Data Science Central | Data Science Stack |
Data Science Blogs | DataRobot Blog | DataRobot Blog |
Data Science Blogs | Machine Learning Mastery by Jason Brownlee | ML Mastery |
General Data Science | MIT OpenCourseWare - Introduction to Data Science | MIT OCW - Data Science |
General Data Science | edX - Data Science MicroMasters Program | edX - Data Science |
General Data Science | Data Science and Machine Learning Bootcamp by Colt Steele | Udemy Bootcamp |
Machine Learning | FastAI Practical Machine Learning for Coders | FastAI ML |
Machine Learning | Analytics Vidhya - Free Machine Learning Course | Analytics Vidhya - Free ML Course |
Machine Learning | Microsoft AI School | Microsoft AI School |
Deep Learning | TensorFlow Tutorials | TensorFlow Tutorials |
Deep Learning | NVIDIA Deep Learning Institute - Fundamentals of Deep Learning | DLI Fundamentals |
Deep Learning | Dive into Deep Learning with MXNet | Dive into DL with MXNet |
Statistics & Probability | Khan Academy - Statistics and Probability | Khan Academy - Stats |
Statistics & Probability | OpenIntro Statistics | OpenIntro Statistics |
Data Visualization | Seaborn Documentation | Seaborn Documentation |
Data Visualization | Observable - Data Visualization | Observable Data Viz |
Big Data | Apache HBase Documentation | HBase Documentation |
Big Data | Udacity - Big Data Analytics with Spark | Udacity - Big Data Analytics |
Big Data | Big Data University by IBM | Big Data University |
Data Cleaning & Wrangling | Google Refine (OpenRefine) | OpenRefine |
Data Cleaning & Wrangling | DataCamp - Cleaning Data in Python | DataCamp - Cleaning Data in Python |
Python Programming | The Hitchhiker's Guide to Python | Hitchhiker's Guide to Python |
Python Programming | PyBites | PyBites |
Data Science Communities | Reddit - r/MachineLearning | Reddit - r/MachineLearning |
Data Science Communities | LinkedIn Data Science Group | LinkedIn - Data Science Group |
Data Science Blogs | Dataquest Blog | Dataquest Blog |
Data Science Blogs | The Data Incubator Blog | Data Incubator Blog |
Data Science Blogs | KDnuggets Blog | KDnuggets Blog |
Data Science Blogs | Google AI Blog | Google AI Blog |
General Data Science | Berkeley Data Science Modules | Berkeley Data Science Modules |
General Data Science | Udacity - Data Analyst Nanodegree Program | Udacity - Data Analyst Nanodegree |
General Data Science | Analytics Vidhya - Data Science Blog | Analytics Vidhya Blog |
Machine Learning | Imperial College London - Machine Learning for Beginners | Machine Learning for Beginners |
Machine Learning | Analytics Vidhya - Free Machine Learning for Beginners Course | Free ML for Beginners |
Machine Learning | Data School - Machine Learning Mini-Courses | Data School Mini-Courses |
Deep Learning | Coursera - Deep Learning Specialization by Andrew Ng | Deep Learning Specialization |
Deep Learning | MIT OpenCourseWare - Introduction to Deep Learning | MIT OCW - Deep Learning |
Deep Learning | TensorFlow Playground | TensorFlow Playground |
Statistics & Probability | Khan Academy - Inferential Statistics | Khan Academy - Inferential Stats |
Statistics & Probability | Coursera - Statistics with R Specialization | Statistics with R Specialization |
Data Visualization | DataCamp - Data Visualization with Matplotlib | DataCamp - Matplotlib |
Data Visualization | Flourish Studio | Flourish Studio |
Big Data | Dask - Parallel Computing in Python | Dask |
Big Data | Udacity - Big Data Nanodegree Program | Udacity - Big Data Nanodegree |
Big Data | Google Cloud BigQuery | Google BigQuery |
Data Cleaning & Wrangling | Trifacta Wrangler | Trifacta Wrangler |
Data Cleaning & Wrangling | DataCamp - Cleaning Data in SQL | DataCamp - Cleaning Data in SQL |
Python Programming | W3Schools - Python Tutorial | W3Schools Python Tutorial |
Python Programming | SoloLearn - Python Course | SoloLearn - Python Course |
Data Science Communities | Data Science Stack Exchange - Cross Validated | Cross Validated |
Data Science Communities | Reddit - r/dataviz | Reddit - r/dataviz |
Data Science Blogs | Randal S. Olson - Data Science Blog | Randal S. Olson's Blog |
Data Science Blogs | Analytics Vidhya - Interview Experiences | AV Interview Experiences |
Data Science Blogs | FiveThirtyEight | FiveThirtyEight |
General Data Science | MIT OpenCourseWare - Introduction to Computer Science and Programming in Python | MIT OCW - Python |
General Data Science | Data Science Dojo | Data Science Dojo |
General Data Science | Analytics Vidhya - Data Science for Beginners | Data Science for Beginners |
Machine Learning | Kaggle Courses | Kaggle Courses |
Machine Learning | Oxford University - Machine Learning for Data Science | Oxford Machine Learning |
Machine Learning | MIT OpenCourseWare - Introduction to Machine Learning | MIT OCW - Machine Learning |
Deep Learning | Kaggle - TensorFlow Tutorials | Kaggle TensorFlow Tutorials |
Deep Learning | Stanford University - CS224d (Natural Language Processing with Deep Learning) | CS224d |
Deep Learning | Coursera - Sequence Models by Andrew Ng | Sequence Models |
Statistics & Probability | Harvard University - Statistics 110: Probability | Harvard Stat 110 |
Statistics & Probability | Coursera - Bayesian Statistics | Bayesian Statistics |
Data Visualization | Plotly | Plotly |
Data Visualization | DataCamp - Interactive Data Visualization with Bokeh | DataCamp - Bokeh |
Big Data | Apache Flink Tutorials | Apache Flink Tutorials |
Big Data | Microsoft Azure - Big Data and Analytics | Azure Big Data |
Big Data | DataCamp - Introduction to Spark with Python | Introduction to Spark with Python |
Data Cleaning & Wrangling | pandas - Python Data Analysis Library | pandas Documentation |
Data Cleaning & Wrangling | DataCamp - Cleaning Data in R | DataCamp - Cleaning Data in R |
Python Programming | Real Python - Intermediate Python | Real Python - Intermediate Python |
Python Programming | SoloLearn - Python for Data Science | SoloLearn - Python for Data Science |
Data Science Communities | Quora - Data Science Topic | Quora - Data Science |
Data Science Communities | GitHub - Awesome Data Science | Awesome Data Science |
Data Science Blogs | Simply Statistics Blog | Simply Statistics Blog |
Data Science Blogs | Analytics Vidhya - Data Science Blog | Analytics Vidhya Blog |
Data Science Blogs | DataCamp - Data Science Blog | DataCamp Blog |
Data Science Blogs | OpenAI - Research | OpenAI Research |
General Data Science | Data Science Central | Data Science Central |
General Data Science | Udacity - Data Science Nanodegree Program | Udacity - Data Science Nanodegree |
General Data Science | Harvard University - Data Science Certificate | Harvard Data Science Certificate |
Machine Learning | Google's Machine Learning Crash Course | Google's ML Crash Course |
Machine Learning | Carnegie Mellon University - Machine Learning with Large Datasets | CMU ML with Large Datasets |
Machine Learning | scikit-learn Documentation | scikit-learn Documentation |
Deep Learning | FastAI - Practical Deep Learning for Coders | FastAI Deep Learning |
Deep Learning | Neural Networks and Deep Learning by Michael Nielsen (Book) | Neural Networks and Deep Learning |
Deep Learning | NVIDIA Deep Learning Institute - Fundamentals of Deep Learning for Computer Vision | DLI Computer Vision |
Statistics & Probability | Coursera - Statistics with Python Specialization | Statistics with Python Specialization |
Statistics & Probability | OpenIntro Statistics and Probability Textbook | OpenIntro Statistics |
Data Visualization | Bokeh Documentation | Bokeh Documentation |
Data Visualization | DataCamp - Interactive Data Visualization with Plotly | DataCamp - Plotly |
Big Data | IBM Big Data University | IBM Big Data University |
Big Data | Hortonworks Data Platform | Hortonworks |
Big Data | DataCamp - Introduction to PySpark | DataCamp - PySpark |
Data Cleaning & Wrangling | DataCamp - Cleaning Data in Python | DataCamp - Cleaning Data in Python |
Data Cleaning & Wrangling | Data Science at the Command Line | Data Science at the Command Line |
Python Programming | Real Python | Real Python |
Python Programming | Kaggle - Python Tutorials | Kaggle Python Tutorials |
Data Science Communities | Data Science Central Forum | DSC Forum |
Data Science Communities | Stack Overflow - Data Science | Stack Overflow - Data Science |
Data Science Blogs | Datafloq | Datafloq |
Data Science Blogs | O'Reilly Data Science Blog | O'Reilly Data Science Blog |
Data Science Blogs | Domino Data Science Blog | Domino Blog |
General Data Science | DataCamp - Introduction to Data Science | DataCamp - Intro to Data Science |
General Data Science | Duke University - Statistics and Machine Learning Bootcamp | Duke University Bootcamp |
General Data Science | Springboard - Data Science Career Track | Springboard |
Machine Learning | Kaggle - Machine Learning | Kaggle - ML |
Machine Learning | Google's Machine Learning Crash Course (TensorFlow) | ML Crash Course |
Machine Learning | DataCamp - Supervised Learning with scikit-learn | DataCamp - Supervised Learning |
Deep Learning | Coursera - Natural Language Processing in TensorFlow | NLP in TensorFlow |
Deep Learning | NVIDIA Deep Learning Institute - Deep Learning Fundamentals | DLI Deep Learning Fundamentals |
Deep Learning | Coursera - Deep Learning Specialization by Andrew Ng | Deep Learning Specialization |
Statistics & Probability | edX - Introduction to Statistics and Data Science using R | edX - Statistics and Data Science |
Statistics & Probability | Khan Academy - Probability and Statistics | Khan Academy - Stats |
Data Visualization | Tableau Public | Tableau Public |
Data Visualization | DataCamp - Introduction to Data Visualization with Python | DataCamp - Data Viz with Python |
Big Data | Cloudera - Hadoop and Spark Training | Cloudera Training |
Big Data | DataCamp - Introduction to Big Data with Spark | DataCamp - Big Data with Spark |
Big Data | IBM Db2 Big SQL | IBM Db2 Big SQL |
Data Cleaning & Wrangling | DataCamp - Cleaning Data in R | DataCamp - Cleaning Data in R |
Data Cleaning & Wrangling | Trifacta Wrangler | Trifacta Wrangler |
Python Programming | Codecademy - Python | Codecademy - Python |
Python Programming | Real Python - Python Basics | Real Python - Python Basics |
Data Science Communities | Reddit - r/datascience | Reddit - r/datascience |
Data Science Communities | Data Science Central Community | DSC Community |
Data Science Blogs | Towards Data Science on Medium | Towards Data Science on Medium |
Data Science Blogs | Simply Statistics Blog | Simply Statistics Blog |
Data Science Blogs | DataCamp - Data Science Blog | DataCamp Blog |
Data Science Blogs | Analytics Vidhya - Blog | Analytics Vidhya Blog |
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