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.

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