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STATISTICAL ONLINE COURSES FOR DATA SCIENCE AND ANALYTICS

Develop foundational knowledge to analyse data in a scientifically objective way.

ONLINE COURSES

Modern Statistical Thinking for Data Science and AnalyticsA foundation to analyse data in a scientifically objective way

Statistical thinking is the key skill to analyse data in a scientifically objective way. The course introduces the key statistical and non-statistical concepts to develop modern statistical thinking. This is a foundational data science and analytics course.

Causal Inference for Data Science and Analytics Foundations, assumptions and applications

Because most questions of interest are causal in their nature, it is important for data scientists and analysts to develop understanding about the key causal inference concepts. This is a foundational and thus a conceptual course.

Statistical Thinking for Journalists How to read data and analyse it in a scientifically objective way

Because most questions of interest are causal in their nature, it is important for data scientists and analysts to develop understanding about the key causal inference concepts. This is a foundational and thus a conceptual course.

Causal Inference with Observational Data for Impact EvaluationsData requirements, methods and techniques

Most of today's data is observational. This course is a continuation of the first course on causal inference, with focus on applications and thus the art of satisfying assumptions without which causal inference is mission impossible.​

Causal Inference is the method of choice for impact evaluations, policy evaluations, evaluations of marketing interventions, clinical trials and many more.

Causal Inference is the foundation for a design and analysis of experiments.

About our online courses

The courses are designed by following philosophy of experiential learning. The focus is to provide data practitioners (data analysts, data scientists and researchers) with foundations on designing studies and analysing data in a scientifically objective way. We provide practical advice and scientific references for further independent learning.

About course material

Different parts of the material were previously used for lectures, seminars and workshops at scientific conferences, business seminars and universities, such as University of Helsinki, Sigmund Freud University, Uppsala University and Tsinghua University.

About instructor

Dr. Ana Kolar holds a PhD in Statistics with expertise in Causal inference and she is the creator of a new approach for developing statistical thinking skills. Ana is able to introduce complex topics in a simple manner and she is dedicated to an experiential educational and learning approach. She holds a postgraduate qualification in tertiary teaching and learning and has over 15 years of international professional experience in the fields of academia, applied statistics and research. Read more about Ana here.

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We warmly invite data scientists, statistical scientist, data analysts, researchers and journalists to learn with our online courses and help digital societies to take advantage of the modern statistical science that provides tools and techniques to analyse data in a scientifically objective way.

READING CORNER

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