31 December 2022 - 30 January 2023

Data Science 1

Date 31 Dec 2022 - 30 Jan 2023
Time 23:00 GMT+01:00 - 23:00 GMT+01:00
Level of instruction
Instructor
Dr. Ann Maharaj
Prof. Delia North
Prof. Edward L. Boone
Registration fee

This course is presented by the ISI Statistical Capacity Building (SCB) Committee. It is available for free to everyone.

The course includes an introduction to (descriptive) statistics, and modules on sampling, probability, statistical inference, experimental design, categorical data, non-parametric methods, and linear regression.

We thank Ann Maharaj (Australia), Delia North and her three collaborators (South Africa), and Edward Boone (United States) for their efforts in developing it.

Capacity building is a strategic priority for ISI, and the SCB Committee has been very active in organising courses and favouring participation in events, sometimes in cooperation with other organisations. Now the SCB Committee is working to provide online courses and webinars, starting with this course.

The Committee is also looking into providing sessions devoted to Questions and Answers. More information will be provided as soon as we have it available.

Modules

  1. Introduction to Statistics and Descriptive Statistics
  2. Sampling
  3. Probability
  4. Statistical Inference for One Population
  5. Statistical Inference for Two Populations
  6. Experimental Design and Analysis of Variance
  7. Analysis of Categorical Data
  8. Non-Parametric Methods
  9. Simple Linear Regression (coming soon)
  10. Multiple Linear Regression (coming soon)

Prof. Delia North: Modules 1–2

Dr. Ann Maharaj: Modules 4–8

Prof. Edward L. Boone: Modules 3, 9–10

The course

Check out all course materials in this Google Classroom.

Note that one needs a personal Google Account to access the classroom.

Instructors

Ann Maharaj
Instructor
Dr. Ann Maharaj

About the instructor

Ann is an Adjunct Associate Professor in the Department of Econometrics and Business Statistics at Monash University in Melbourne, Australia where she lectured for 30 years from February 1990 until her retirement in July 2020. 

Prior to that she lectured for 11 years, first in the Department of Mathematics and then in the Department of Statistics at the University of Durban-Westville in South Africa (now part of the University of KwaZulu-Natal). 

Ann is an elected member of the International Statistical Institute (ISI), a member of the International Association of Statistical Computing (IASC), and a member and accredited statistician of the Statistical Society of Australia (SSA).

Prof. Delia North
Instructor
Prof. Delia North

About the instructor

Delia is Professor in Statistics at, and Dean and Head of, the School of Mathematics, Statistics and Computer Science at the University of KwaZulu-Natal in South Africa. 

She has over 30 years of experience in teaching Statistics, and has become a leading figure in Statistics Education circles, nationally and internationally (Chair: South African Statistical Association Education Committee for 17 years; Vice President: International Association of Statistics Education; Master Trainer: Maths4stats for schools). 

She has received national and international awards for excellence in building capacity through advocating for studies in data analytics by holding fun activities and workshops for teachers and learners.

Delia’s contribution to this course is a Capacity Building project she lead at her school. A set of videos was made by academics from the Statistics sector.

Prof. Edward L. Boone
Instructor
Prof. Edward L. Boone

About the instructor

Edward is Professor of Statistics at Virginia Commonwealth University in Richmond Virginia USA, and has been teaching Statistics for 17 years. 

He has been very active in researchin Statistics as has a passion for teaching. Learning should be fun and complex ideas should be presented first from an intuitive approach. 

He is currently the Publications Officer for the Section onStatistical Consulting of the American Statistical Association and the President Elect for the Southern Regional Council on Statistics.