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Statistical Online Courses for Data Analytics and AI
Statistics is the grammar of science and the foundation of advanced AI
Understanding what it takes to analyse data in a scientifically objective way is crucial for effective use and development of advanced AI systems.
Learn from our concept-focused, holistic statistics courses designed to build a strong foundation on what it takes to analyse data in a scientifically objective way.
Modern Statistical Thinking for Data Analytics and AI
A foundation to analyse data in a scientifically objective way
Causal Inference for Data Analytics and AI
Foundations, assumptions and applications
Data Strategy, Analytics and AI
Which questions to ask and how to think to get to objective information
This course is about the impact that quality of data has on credibility of advanced AI systems. Learning about how to understand trustworthiness of information produced by AI systems.
Causal Inference with Observational Data for Impact Evaluations
Data requirements, methods and techniques
Statistical Thinking for Journalists
How to read data and analyse it in scientifically objective way
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In-Person Courses and Workshops
READING CORNER
Do you wonder how statistics lies?
Statistics lies in presence of ignorance. By definition, ignorance means lack of knowledge, understanding, or information about something. Statistics lies when a person presenting statistical data lacks knowledge, understanding, or information about statistical-methodological techniques which enables us to analyse data in a scientifically objective way. Although we live
Data science without causal inference is like a fish without water
Learning about foundational concepts of causal inference is crucial for data analytics and AI because most questions of interest are causal in their nature. Whether we perform impact evaluations, A/B testing, quality control or clinical trials, causal inference is the method of choice. Causal inference is one
A New Approach To Statistical Thinking
Statistical thinking requires a new approach due to recent developments of the modern statistical science. This new approach puts causal thinking at the heart of the key statistical thinking concepts, which reflects new developments of modern statistical science in the field of causal inference. This new approach
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