Learning Centre

50 Useful Learning Resources for Data Science

Here are 50 useful learning resources, in no particular order, for data science along with their URLs:

Brandon Himpfen

• 1 min read
50 Useful Learning Resources for Data Science
Photo by fabio / Unsplash

Here are 50 useful learning resources, in no particular order, for data science along with their URLs:

  1. Coursera - https://www.coursera.org/
  2. edX - https://www.edx.org/
  3. Udacity - https://www.udacity.com/
  4. Kaggle - https://www.kaggle.com/
  5. DataCamp - https://www.datacamp.com/
  6. Codecademy - https://www.codecademy.com/
  7. Dataquest - https://www.dataquest.io/
  8. HarvardX Data Science - https://www.edx.org/professional-certificate/harvardx-data-science
  9. MIT OpenCourseWare - https://ocw.mit.edu/index.htm
  10. IBM Data Science - https://www.coursera.org/professional-certificates/ibm-data-science
  11. Stanford University Machine Learning Course - https://www.coursera.org/learn/machine-learning
  12. Fast.ai - https://www.fast.ai/
  13. Google Developers Machine Learning Crash Course - https://developers.google.com/machine-learning/crash-course
  14. DeepLearning.AI - https://www.deeplearning.ai/
  15. PyTorch - https://pytorch.org/
  16. TensorFlow - https://www.tensorflow.org/
  17. Scikit-learn - https://scikit-learn.org/stable/
  18. NumPy - https://numpy.org/
  19. Pandas - https://pandas.pydata.org/
  20. Matplotlib - https://matplotlib.org/
  21. Seaborn - https://seaborn.pydata.org/
  22. Plotly - https://plotly.com/
  23. Bokeh - https://bokeh.org/
  24. D3.js - https://d3js.org/
  25. Tableau - https://www.tableau.com/
  26. Power BI - https://powerbi.microsoft.com/en-us/
  27. Excel - https://www.microsoft.com/en-us/microsoft-365/excel
  28. RStudio - https://rstudio.com/
  29. Jupyter - https://jupyter.org/
  30. Anaconda - https://www.anaconda.com/
  31. GitHub - https://github.com/
  32. GitLab - https://gitlab.com/
  33. Big Data University - https://courses.bigdatauniversity.com/
  34. Data.gov - https://www.data.gov/
  35. Kaggle Datasets - https://www.kaggle.com/datasets
  36. UCI Machine Learning Repository - https://archive.ics.uci.edu/ml/index.php
  37. KDnuggets - https://www.kdnuggets.com/
  38. Towards Data Science - https://towardsdatascience.com/
  39. Data Science Central - https://www.datasciencecentral.com/
  40. The Data Science Handbook - https://www.thedatasciencehandbook.com/
  41. Machine Learning Mastery - https://machinelearningmastery.com/
  42. Analytics Vidhya - https://www.analyticsvidhya.com/
  43. Datafloq - https://datafloq.com/
  44. Data Science Society - https://datasciencesociety.net/
  45. Data Science Dojo - https://datasciencedojo.com/
  46. Data Skeptic - https://dataskeptic.com/
  47. SuperDataScience - https://www.superdatascience.com/
  48. A/B Testing - https://www.abtasty.com/
  49. Python Data Science Handbook - https://jakevdp.github.io/PythonDataScienceHandbook/
  50. Data Science for Everyone - https://www.datascienceforeveryone.com/