Curricula to support your analytics function

Our curricula support your analytics function by offering groups of courses that are aimed at particular audiences. They are designed for large companies seeking to develop or support their analytics function or support digital transformation with data literacy. Curricula are typically delivered as a private analytics training solution to companies. They may also be purchased by an individual as a package and taken at one of our training sites.

Executive | Data Engineering | Data Science | Data Culture | Innovation & Tech (CTO) | Data Governance | AI Engineering | Dev Ops

Why have an Analytics training function?
"The most important element of a successful analytics function is neither the budget nor the caliber of the team. Nor is it the presence or even degree of C-suite “support” (often notional). Rather, it is C-suite engagement."
"Too often the C-suite is far more eager to support, fund and promote the analytics function rather than actually be its customer."
Who and what is needed for a successful analytics function?
"The most important first step of any strategic analytics review of initial implementation of a real analytics function is to determine who is already making decisions, and has a genuine need to make good ones and avoid bad ones."
"Secondly, the community of analysts/scientists, who are supporting those people with data, analysis and decision support should be identified and supported. It is vital to ally with them, make them the kernel of any new analytics function, and not to disrupt their existing work"
How do we create a successful analytics function?
"Key supporters / stakeholders need to be educated first and foremost on their role as analytics customers, not just cheerleaders."
"An effective analytics function is created top-down. Data-driven decision makers lead both by example and by making much more exacting demands of their reports for data-driven decision making, accountability and measurement."

Executive Curriculum

This is the minimal “data literacy” curriculum for middle and upper managers who don’t want to get too close to the actual data science work, but need to understand what it is all about, how it can benefit them, and how they might manage it. The levels build up on another, each block represents a class of two days.

Managers may also attend specialised courses such as Fraud and Anomaly Detection or Text and Language Analytics if these are relevant to their work.

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Curricula to support your analytics function

Executive | Data Engineering | Data Science | Data Culture | Innovation & Tech (CTO) | Data Governance | AI Engineering | Dev Ops

Why have an Analytics training function?

"The most important element of a successful analytics function is neither the budget nor the caliber of the team. Nor is it the presence or even degree of C-suite “support” (often notional). Rather, it is C-suite engagement."

"Too often the C-suite is far more eager to support, fund and promote the analytics function rather than actually be its customer."

Who and what is needed for a successful analytics function?

"The most important first step of any strategic analytics review of initial implementation of a real analytics function is to determine who is already making decisions, and has a genuine need to make good ones and avoid bad ones."

"Secondly, the community of analysts/scientists, who are supporting those people with data, analysis and decision support should be identified and supported. It is vital to ally with them, make them the kernel of any new analytics function, and not to disrupt their existing work"

How do we create a successful analytics function?

"Key supporters / stakeholders need to be educated first and foremost on their role as analytics customers, not just cheerleaders."

"An effective analytics function is created top-down. Data-driven decision makers lead both by example and by making much more exacting demands of their reports for data-driven decision making, accountability and measurement."

Executive Curriculum

Data Science Curriculum

Data Culture Curriculum

Data Engineering Curriculum

Innovation & Tech (CTO) Curriculum

Data Governance Curriculum

AI Engineering Curriculum