Have you been in a meeting where a KPI or a number on the dashboard is
questioned and the conversation immediately falls back on anecdotes
and impressions? Imagine if instead you dug into the data to find the
real answer. Through interactive sessions and based on our unique
experiences in HR data sets, this class will give you the tools to
navigate the data traps that are so common to HR data. There are a lot
of challenges hiding in the data whether it is working with incomplete
data, averages that are misleading, or spurious correlations. We will
prepare you to avoid these pitfalls in your own work as well as
identify them in the work of others so that you can help your HR
department move from being the reactionary, cost-center to become
data-driven, strategic partners.WHAT YOU WILL LEARN IN THIS COURSE:
* Frame HR questions in a way that facilitates meaningful data
analysis
* Utilize a "toolbox" of statistical measures that help describe
patterns in HR datasets
* Learn how to identify and test relationships between complex HR
variables
* Know the difference between correlation and causation
* Define regression and understand three types of information that
statistical models can provide the HR manager
* Learn the components of a good forecast and the importance of
testing assumptions
MORE INFORMATION:
Preview Our Syllabus
[https://edgeworthanalytics.com/wp-content/uploads/2019/12/Edgeworth_Analytics_Syllabus_1.2_Final.pdf]
For Your Manager
[http://edgeworthanalytics.com/wp-content/uploads/2020/03/For-Your-Manager-.pdf]
REFRESHMENTS:
We will provide light refreshments.
WHAT TO WEAR:
Casual attire appropriate for a work place. Please remember to bring a
sweater or additional layer in case the room is cold.
Edgeworth Analytics reserves the right to change the venue, date,
time, and other elements of the class. In the event such changes are
made, participants will be notified. If the participant can no longer
attend as a result of the change, we will attempt to substitute the
class for another or issue a refund. Edgeworth Analytics is not liable
for refunding any charges incurred by the participant.
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29/05/2020 Last update