Analytics Certification



QS Analytics Level 2 Certificate
(Inclusive of full access ticket for
QS APPLE 2021)

US$ 299



Moving from Spreadsheets to R

17 November 2021

Higher education has a significant opportunity to further strengthen its position through a bottom-up approach and boosting those countries who are facing barriers in areas such as policy and access.

Many participants might then be faced with varying levels of data analytic skillsets and will be interested in moving beyond spreadsheets.  Join us as we run an exclusive workshop for those wanting to learn the basics of data science programming through the exploration of global higher education datasets.

Attendees will be provided with a cloud-based learning environment for the R statistical programming language where they will be able to access the required statistical packages along with relevant datasets and code examples.

We hope that you are able to join us to learn the basics of coding, see tricks to speed up exploratory analysis with new datasets, and build engaging visualisations of your findings. Skills that are increasingly valuable for people and organisations today.

Our Speaker

Alex Chisholm
Co-Founder
DataKwery

Prerequisite

  • Solid understanding of data fundamentals and general comfort working with data

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

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 2 Certificate

Agenda

Time (GMT+8)
Section
3:00pm – 3:05pm Introduction
3:05pm – 3:35pm Programming basics
3:35pm – 4:05pm Exploratory data analysis
4:05pm – 4:20pm Break
4:20pm – 5:05pm Visualization techniques
5:05pm – 5:35pm Advanced topics
5:35pm – 6:00pm Wrap up

QS Analytics Level 2 Certificate
(Inclusive of full access ticket for
QS APPLE 2021)

US$ 299

Moving from Spreadsheets to R

17 November 2021

Higher education has a significant opportunity to further strengthen its position through a bottom-up approach and boosting those countries who are facing barriers in areas such as policy and access.

Many participants might then be faced with varying levels of data analytic skillsets and will be interested in moving beyond spreadsheets.  Join us as we run an exclusive workshop for those wanting to learn the basics of data science programming through the exploration of global higher education datasets.

Attendees will be provided with a cloud-based learning environment for the R statistical programming language where they will be able to access the required statistical packages along with relevant datasets and code examples.

We hope that you are able to join us to learn the basics of coding, see tricks to speed up exploratory analysis with new datasets, and build engaging visualisations of your findings. Skills that are increasingly valuable for people and organisations today.

Prerequisite

  • Solid understanding of data fundamentals and general comfort working with data

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

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 2 Certificate

Agenda

Time (GMT+8)
Section
3:00pm – 3:05pm Introduction
3:05pm – 3:35pm Programming basics
3:35pm – 4:05pm Exploratory data analysis
4:05pm – 4:20pm Break
4:20pm – 5:05pm Visualization techniques
5:05pm – 5:35pm Advanced topics
5:35pm – 6:00pm Wrap up



QS Analytics Level 3 Certificate
(Inclusive of full access ticket for
QS APPLE 2021)

US$ 299



Demystifying Data Science and Data Strategy

18 November 2021

The world of data is filled with intimidating buzzwords. Although techniques like machine learning, natural language processing, and predictive analytics are potentially useful, they will never be adopted within organizations unless leaders – and not just the data team – understand their underlying logic and inherent limitations. This workshop is designed to demystify such terms for the everyday working professional. Through clear examples and human-language definitions, we will build a collective understanding of the advanced data approaches and strategies used today.

Our Speaker

Alex Chisholm
Co-Founder
DataKwery

Prerequisite

  • General comfort working with data and interest in understanding the logic behind advanced techniques

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

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 3 Certificate

Agenda

Time (GMT+8)
Section
3:00pm – 3:45pm Organisational Data Strategy: Tools, Talent, and Approaches
3:45pm – 4:30pm Predictive Analytics: Demystifying Machine Learning (ML)
4:30pm – 4:45pm Break
4:45pm – 5:15pm Dealing with Unstructured Data: Natural Language Processing (NLP)
5:15pm – 6:00pm Higher Education Case Studies & Applications

QS Analytics Level 3 Certificate
(Inclusive of full access ticket for
QS APPLE 2021)

US$ 299

Demystifying Data Science and Data Strategy

18 November 2021

The world of data is filled with intimidating buzzwords. Although techniques like machine learning, natural language processing, and predictive analytics are potentially useful, they will never be adopted within organizations unless leaders – and not just the data team – understand their underlying logic and inherent limitations. This workshop is designed to demystify such terms for the everyday working professional. Through clear examples and human-language definitions, we will build a collective understanding of the advanced data approaches and strategies used today.

Prerequisite

  • General comfort working with data and interest in understanding the logic behind advanced techniques

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

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 3 Certificate

Agenda

Time (GMT+8)
Section
3:00pm – 3:45pm Organisational Data Strategy: Tools, Talent, and Approaches
3:45pm – 4:30pm Predictive Analytics: Demystifying Machine Learning (ML)
4:30pm – 4:45pm Break
4:45pm – 5:15pm Dealing with Unstructured Data: Natural Language Processing (NLP)
5:15pm – 6:00pm Higher Education Case Studies & Applications

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)