Data Science: Predictive Analytics Theory — Udemy — Published 8/2020 — Free download

Learn how different domains can apply predictive analytics .Quick guide for analytics & machine learning professionals.

What you’ll learn

  • predictive analytics
  • HR Analytics
  • Fraud Analytics
  • Customer Analytics
  • No prerequisites


This course gives you an understanding of the application of predictive analytics in your field of interest /domain. As you learn the tools (machine learning, statistics e.t.c) its important to understand the application part. Whether you are a manager, newbie, enthusiast, data scientist or a machine learning professional, this course will bring more light on how you can apply predictive analytics in your domain.


  • Analyzing customer behaviour
  • From focusing on segments to focusing on the individual customer
  • This has been made possible through technological advancement & data mining tools
  • At the highest level of using customer data is predicting customer behaviour
  • Why? Lots of data: social media, transaction history, demographic data, e.t.c


  • Using predictive analytics in fraud detection & prevention
  • Move from detecting fraud after we have already made a loss to detecting fraud behaviour and thus prevent it from happening.
  • With tech, we’re trying to go into improving UX & UI such as fewer authentications but that comes with gaps for digital fraud hence the need for predictive fraud analytics.


  • We are moving to a data-driven HR function
  • Why? HR collects lots of data that can be used ( demographics, salary history, empl history, promotions data, churn data e.t.c )
  • Moving from depiction HR dep as a cost function to a strategic partner in the business.
  • Decisions like attracting, retaining and managing talent can be backed with data and to add more applying predictive analytics in those decisions.

Who this course is for:

  • Data Analysts
  • Data Scientists
  • Business Analysts
  • Managers
  • Predictive Analytics Enthusiasts
  • HR Professionals
  • Marketers
  • Fraud Analytics professionals


Analytics Predictive Analysis in HR , Fraud and   (download)
203.97 MB

Course content:

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