Topic Thread

AI Enterprise Workflow study group - Course 2 Recap

  • 1.  AI Enterprise Workflow study group - Course 2 Recap

    Posted 6 days ago

    Hi everyone! 

    I wanted to share an update on our study group which is working on the IBM AI Enterprise Workflow specialization on Coursera. We recently completed Course 2 of the sequence.

    The focus of the first week of the course is exploratory data analysis (EDA) and data visualization, with the objectives that learners:

    • Understand the key steps in exploratory data analysis
    • Refresh ourselves on key Python tools for EDA (pandas, matplotlib, and Jupyter)
    • Explore strategies for dealing with missing data
    • Appreciate the role of communication in EDA

    The information on strategies for handling missing data was particularly interesting.

    If you missed the session, you can catch the recording here:



    The second week of the course focused on estimation and null hypothesis testing, as well as:

    • Creating simple dashboards in Watson Studio
    • Employing common distributions to answer questions about event probabilities
    • Applying null hypothesis testing as an investigative tool using Python
    • Explaining several methods for dealing with multiple testing
    The video from our session covers all these and more!


    We're currently working on course 3 in the sequence and we would love for you to join us.

    I'm happy to answer any questions in the comments.

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    Sam Charrington
    Founder, TWIML
    Host, TWIML AI Podcast fka This Week in Machine Learning & AI
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