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.
PREDICTIVE CUSTOMER ANALYTICS
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
PREDICTIVE FRAUD ANALYTICS
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.
PREDICTIVE HR 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.
I am on Udemy because I believe anybody who wants to learn something new needs to be supported with beginner-friendly and project-based learning content. I believe if you master the fundamentals, you can venture into any field that you want. My courses follow this thought process and I apply it in my life as well. Teaching is my passion.