ONLINE COURSE

Modern Statistical Thinking for Data Science and Analytics

A foundation to analyse data in a scientifically objective way.

15

Videos

5

EXERCISES

5

QUIZZES

5h

VIDEO DURATION

COURSE CERTIFICATE

It requires completion of the final assignment

COURSE OVERVIEW

Statistical thinking is not only the key skill to analyse data in a scientifically objective way, but also the key skill of the digital era. The course introduces the key statistical and non-statistical concepts to develop modern statistical thinking and it provides references for further learning.

WHAT IS MODERN STATISTICAL THINKING?

It is a thinking methodology of the modern statistical science which enables us to analyse data in a scientifically objective way.

WHAT IS MODERN STATISTICAL SCIENCE?

The development of modern statistical science goes back to 20th century with classical contributions such as Fisher’s randomisation (1925), Neyman’s modern concept of a confidence interval (1935) and Rubin’s Causal Model (Holland, 1986). These contributions had a significant impact on development of modern sampling theories, statistical inference and approaches for handling missing data.

The modern statistical science emphasizes the importance of carefully designed studies and for that reason requires from researchers to be familiar with statistical thinking that is founded on modern statistical science, i.e., modern statistical thinking.

what is this course about?

The course covers the key statistical and non-statistical concepts of a newly developed approach for developing modern statistical thinking (Kolar, 2019). The new approach defines statistical thinking as a conscious thought process that is based on statistical concepts of modern Sampling theory, Missing data, understanding of the usefulness of Descriptive Statistics and challenges in conclusion making of Inferential Statistics.

The central element of this new approach is causal thinking. Students get familiar with the science of causal thinking as well as with approaches to analyse causal relationships.

WHO IS THE COURSE FOR?

Data analysts, data scientists, researchers, MA and PhD students in behavioral sciences, law, health and medicine with interest in enhancing knowledge on how to extract information from data in a scientifically objective way. No prior knowledge of statistics is required, but those who have some will be able to deepen it further.
 

ABOUT THE FLOW oF tHE cOURSE

This is a fully self-paced course that consists of video lessons, quizzes, exercises and a final assignment for those who wish to obtain a course certificate.

Keep in mind that doing the final assignment enables you to deepen the knowledge further, so it is not just a paper. The course instructor provides you with feedback on your final assignment.

ABOUT THE cOURSE MATERIAL

The material has been previously used for lectures, seminars and workshops at different venues, including University of Helsinki, Sigmund Freud University, Uppsala University and Tsinghua University.

ABOUT INSTRUCTOR

Dr. Ana Kolar holds a PhD in Statistics.  Her PhD advisor and statistical guru is one of the greatest statisticians of today – Professor Dr. Donald B. Rubin, Emeritus Professor from Harvard University.

 

Ana is able to introduce and explain complex topics in a simple manner and she strives towards an  educational approach that is based on experiential learning. Read more about Ana here.

COURSE OUTLINE

By the end of this course you will become familiar with the key statistical and non-statistical concepts required to develop modern statistical thinking – the thinking that enables us to analyse in a scientifically objective way.

During the first class we learn about the key concepts of the new approach to develop statistical thinking. We explore the key statistical and non-statistical concepts required for analysing data in a scientifically objective way. We look at the skills and attitudes that are required in order to fully master the modern statistical thinking.

3 videos, 1 exercise and 1 quiz to complete.

During the second class we introduce the concept of causality and its impact on scientific enquiry. We learn about the science behind causal thinking and the impact that causal thinking has on designing studies, analysing data and conclusion-making.

3 videos, 1 exercise and 1 quiz to complete.

During the third class we become familiar with the important role of sampling theory which enables us to develop understanding of the missing data mechanisms – the essential tools for being able to deal with biases.

3 videos, 1 exercise and 1 quiz to complete.

During the fourth class, we consolidate the knowledge from the previous classes and look at Descriptive Statistics. We talk about different types of biases and the impact they have on usefulness of data insights obtained from descriptive statistics. We explore circumstances that make data insights obtained from descriptive statistics misleading.

We end this class by discussing questions that should always be asked before trusting data insights obtained from descriptive statistics.

3 videos, 1 exercise and 1 quiz to complete.

During our last class, we continue where we left with the Class 4 and introduce the meaning of Inferential Statistics, its challenges and frequent misuses. Complexities of Inferential Statistics are discussed through number of assumptions that are required to be satisfied in order for Inferential Statistics to produce trustworthy data insights.

 3 videos, 1 exercise and 1 quiz to complete.

COMMON QUESTIONS

You can access the course material for 12 months from the day of enrolment. This access limitation is due to course material being regularly updated. Upgrades to a new edition are possible.

Yes, you can cancel the course anytime during your Class 1 lessons, or before accessing material of Class 2 lessons, and you will get full refund. The cancellation needs to be done in writing by emailing to admin@tarastats.com in 30 days after enrolment or official start of the course (whichever comes later). Cancellations after this period of time will not be possible.

What people say

This course is new so be among the first to enrol and provide a feedback. We waive the course fee for the first five students in exchange for the feedback on their learning experience. Use the following code: feedbackMST222 when enrolling for the course to get the course’s fee waived. Please note that you will be required to provide a feedback after each class in order to be able to continue with the course.

Equip yourself with the key skills of the digital era!

Discover the treasures of modern statistical thinking.

ARE YOU ready to enrol?

This is a fully self-paced online course that includes interaction with the course instructor.

This course starts on the 25th of March 2023.

Online Course

without course certificate
195
165
  • 5 Classes, 5 Exercises, 5 Quizzes
  • 15 Video lessons
  • Feedback and Discussion Space
  • Final Assignment with Feedback
  • COURSE CERTIFICATE
EARLY BIRD

Online Course

with course certificate
255
215
  • 5 Classes, 5 Exercises, 5 Quizzes
  • 15 Video lessons
  • Feedback and Discussion Space
  • Final Assignment with Feedback
  • COURSE CERTIFICATE
EARLY BIRD

The fees are inclusive of 24% VAT.

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