Analytics Certification

Data Fundamentals and Visualization Techniques

Data continues to transform both the world and the higher education landscape. University professionals are increasingly asked to understand industry trends and make more evidence-based operational decisions.

This workshop is designed for individuals who want to increase their confidence with data. Through education dataset examples, we’ll learn what you can do with different data types to most effectively understand, summarize, and visualize key findings.

Our Speaker


Alex Chisholm
Co-Founder
DataKwery

Who Should Attend

  •  University professionals interested in increasing their confidence with understanding and manipulating data to better understand the world and make more effective decisions.
  •  Anyone who desires to learn core data concepts within the context of the higher education industry

Prerequisite

  • Basic understanding of spreadsheets.

Post Training Certification

  • 1 week after session, all participants must complete a short 20-25 question assessment from topics covered during the workshop. Pass with score of 80% or higher in order to get Analytics Level I Certificate

Agenda

Time
Section Concept
12:00pm – 12:15pm Introduction The importance of data today
12:15pm – 12:45pm Data types Classifying data and knowing what can be done
12:45pm – 1:15pm Exploratory data analysis Searching for meaning and connections within datasets
1:15pm – 1:30pm Break
1:30pm – 1:55pm Demystifying machine learning Understanding common applications from this subset of artificial intelligence
1:55pm – 2:45pm Data storytelling and visualization Knowing what to say and how to show it
2:45pm – 3:00pm Wrap up Recapping what we’ve covered and what is on the short workshop assessment

Data Fundamentals and Visualization Techniques

Data continues to transform both the world and the higher education landscape. University professionals are increasingly asked to understand industry trends and make more evidence-based operational decisions.

This workshop is designed for individuals who want to increase their confidence with data. Through education dataset examples, we’ll learn what you can do with different data types to most effectively understand, summarize, and visualize key findings.

Our Speaker


Alex Chisholm
Co-Founder
DataKwery

Agenda

  • Live zoom session via MAPLE virtual platform
  • 3 hours minimum with 15 minute break in the middle
  • Interactive exercises and breakout groups
  • Main analytical tool: Excel

Who Should Attend

  •  University professionals interested in increasing their confidence with understanding and manipulating data to better understand the world and make more effective decisions.
  •  Anyone who desires to learn core data concepts within the context of the higher education industry

Prerequisite

  • Basic understanding of spreadsheets.

Post Training Certification

  • 1 week after session, all participants must complete a short 20-25 question assessment from topics covered during the workshop. Pass with score of 80% or higher in order to get Analytics Level I Certificate

Agenda

Time Section Concept
12:00pm – 12:15pm Introduction The importance of data today
12:15pm – 12:45pm Data types Classifying data and knowing what can be done
12:45pm – 1:15pm Exploratory data analysis Searching for meaning and connections within datasets
1:15pm – 1:30pm Break
1:30pm – 1:55pm Demystifying machine learning Understanding common applications from this subset of artificial intelligence
1:55pm – 2:45pm Data storytelling and visualization Knowing what to say and how to show it
2:45pm – 3:00pm Wrap up Recapping what we’ve covered and what is on the short workshop assessment
Learn more

Registration fees


Please select your preferred payment method to complete this online registration.

* For the promo code please contact your account manager at QS or email  ask@qs.com

** Delegates from higher education institutions in lower-middle-income countries, as defined by The World Bank only

Refund policy as follows.

Registration cancellations must be submitted in writing through email and no refunds will be made for non-attendance at the conference. However, transfer of your registration to another person or another QS event is permitted (terms and conditions apply).

Period before conference within which written notification of cancellation is received Cancellation charges
91 days & above USD 50 for administrative fee will be deducted (balance will be refunded)
61-90 days USD 50 for administrative fee & 50% of the registration fee will be deducted
(balance will be refunded)
0-60 days Full registration fee will be forfeited (no refund)