Amazing list of Data Science Courses

Data science and Analytics are becoming more popular with companies,colleges and people. Many organizations, universities, come are starting to offer data science courses to help people learn data science. Have put together a list of data science courses in no particular order that would be of interest to you. While this is not an exhaustive list and would keep growing , please feel free to comment if your favorite courses are missing from the list. Happy learning!!

  1. Machine Learning specialization
    • Machine Learning Foundations: A Case Study Approach
    • Machine Learning: Regression
    • Machine Learning: Classification
    • Machine Learning: Clustering & Retrieval
    • Machine Learning: Recommender Systems & Dimensionality Reduction
    • Machine Learning Capstone: An Intelligent Application with Deep Learning
  2. Machine Learning for Data Analysis
  3. Practical Data Science
  4. Data Science A-Z: Real-Life Data Science Exercises Include
  5. Machine Learning on Coursera
  6. Analytics Edge
  7. Harvard Data Science Course
  8. Mining Massive Datasets
  9. Making Sense with Data
  10. Data Science Specialization: Introduced by coursera and John Hopkins university is a comprehensive and yet a gentle introduction to the world of data science. The course offers the below topics.
  11. Genomic Data Science specialization: The course covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments.
    • Introduction to Genomic Technologies
    • Genomic Data Science with Galaxy
    • Python for Genomic Data Science
    • Algorithms for DNA Sequencing
    • Command Line Tools for Genomic Data Science
    • Bioconductor for Genomic Data Science
    • Statistics for Genomic Data Science
  12. Intro to Data Science
  13. Introduction to Computational Thinking Data Mitix
  14. Data Analysis and Interpretation Specialization
  15. Executive Data Science Specialization
  16. Applied Data Science with Python
  17. Applied Data Science with R
  18. Data Analysis in Python with Pandas
  19. Introduction to Python for Data Science
  20. Big Data applications and Analytics
  21. Statistics and Data Science in R from Beginner to Advanced
  22. Apache Hadoop – Machine Learning and Hadoop Eco System
  23. Data Analysis and Statistical Inference
  24. Driving Business Results with Big Data
  25. Data Mining specialization
    • Pattern Discovery in Data Mining
    • Text Retrieval and Search Engines
    • Cluster Analysis in Data Mining
    • Text Mining and Analytics
    • Data Visualization
    • Data Mining Capstone
  26. Intro to Hadoop and Mapreduce
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Author: Karthik Bharadwaj

Data scientist, software engineer and a life long learner.

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