eLearning
Foundations in Data Science
During this eLearning course, participants will become familiar with key data science and AI concepts, definitions and technologies. Participants will gain a foundational understanding of how data science, AI and big data overlap. Participants will also explore key characteristics of analytics departments and specific use cases.
Ethics in Data Science
During this eLearning course, participants will become familiar with key issues and challenges surrounding the collection and analysis of personal information, and the relevant legislation. Participants will explore unique ethical issues inherent is specific areas of data science. Participants will also explore key considerations in developing data policy, providing guidance to staff and managing risk.
Join Adante's Ron Schwartz to consider a number of current topics
Introduction to Data Science
Join Ron Schwartz and Liz West as they discuss how companies are gaining competitive advantages with data.
Building a Data Science Business Case
Join Ron Schwartz and Liz West as they discuss key strategies and techniques for crafting compelling business cases for data science projects with fixed purposes and planned outcomes.
Ethics in Data Science
While privacy is a big issue, there are also new exposures that many people and organizations have not foreseen.
The Data Science Storyteller Role
Finance professionals are well-suited for the “Storyteller” (or “Translator”) role – a role that is critical for the success of data science initiatives.
Predictive Models in Data Science
Join Ron Schwartz and Liz West as they discuss the ins and out of deploying robust predictive models.
Is Data the New Oil?
Join Ron Schwartz and Liz West as they discuss how businesses are competing in this arena, impact on company valuations and logical next steps many businesses are taking to formulate data-driven business strategy.
Workshops
Developing a Data Science Roadmap for your Organization
Participants will become familiar with important strategies for executing data science plans in a timely, well thought out manner. Participants will also explore varied data science cases and examples to gain insight and practical information which they will be able to apply in their organizations.