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Studies
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DS206BKK

Applied Probability and Statistics

Bangkok Campus
Dec 04, 2023 - Dec 22, 2023
This course focuses on applied statistical methods used across various fields and solving real-world problems using Python data analysis tools.
Bangkok Campus
Dec 04, 2023 - Dec 22, 2023
Ivan Gonchar

Faculty

Ivan Gonchar

Senior Data Scientist in ICE Ltd

Course length

3 weeks

Duration

3 hours
per day

Total hours

45 hours

Credits

4 ECTS

Language

English

Course type

Offline

Fee for single course

€1500

Fee for degree students

€750

Skills you’ll learn

Basic statistical text processingStatisticsForecasting Time SeriesA/B TestingTabular and Time Series Data in Python.Causal Analysis
OverviewCourse outlineCourse materialsPrerequisitesMethod & grading

Overview

This course focuses on applied statistical methods used across various fields. Starting with a review of basic statistical estimation, data acquisition, and hypothesis testing, it proceeds to the practical application of various statistical tests, including the analysis of categorical and grouped data. Additionally, the course covers causal inference and time series data analysis, with a focus on ARIMA models and forecasting. It also introduces the A/B testing framework and methods for their proper design and analysis. The last part of the course is dedicated to Bayesian statistics, including Monte Carlo methods. While providing the theoretical foundation behind the methods studied, this course focuses on solving real-world problems using Python data analysis tools.

Learning highlights

  • Understand the basic principles of experimental design, statistical inference, data visualisation, and hypothesis testing.
  • Practise the application of commonly used statistical tests and understand their limitations.
  • Learn how to analyse time series data and make forecasts.
  • Understand A/B testing and causal analysis framework.
  • Understand Bayesian statistics and its application to data analysis.

Course outline

15 classes

Dive into the details of the course and get a sense of what each class will cover.
Monday
Tuesday
Wednesday
Thursday
Friday
Monday
1

Introduction

Estimators: Point, CI, MLEs, Delta method.

Tuesday
2

Sampling

Selection bias. Bootstrap and CV. Probabilistic simulations.

Wednesday
3

Hypothesis Testing I

Parametric and permutation tests.

Thursday
4

Hypothesis Testing II

UMPTs, generalised likelihood ratio test.

Friday
5

Nonparametric Statistics

Robust and kernel methods.

Monday
6

Categorical Data Analysis

Categorical Data Analysis

Tuesday
7

Discriminant Analysis and ANOVA

Discriminant Analysis and ANOVA

Wednesday
8

Causal Inference

Causal Inference

Thursday
9

Time Series Analysis I

Stochastic processes, ARIMA model family.

Friday
10

Time Series Analysis II

Forecasting, causal inference.

Monday
11

A/B Testing I

General framework and classic methods.

Tuesday
12

A/B Testing II

Advanced methods: A/B/C testing, CUPED

Wednesday
13

Bayesian Statistics I

General framework, Monte Carlo sampling.

Thursday
14

Bayesian Statistics II

Advanced methods and applications

Friday
15

Final Exam

Final Exam

Prerequisites

Univariate and Multivariate Calculus

Probability Theory

Basic Statistics

Basic Python

Methodology

Before and after each class, students are expected to read materials to deeply understand concepts of probability theory and statistics.

Students are given homework assignments after each class to practise skills obtained there.

Grading

The final grade will be composed of the following criteria:
60% - Homework assignments
10% - Participation
30% - Final exam
Ivan Gonchar

Faculty

Ivan Gonchar

Senior Data Scientist in ICE Ltd

Awards

  • Enhanceable state academic scholarship, Russia.

    2014 – 2016

  • Winner of the Contest for young researcher’s scientific projects

    2015 - 58th MIPT Scientific Conference with international participation, section of biophysics and biotechnology, Dolgoprudny, Russia

  • Nominal scholar of the Government of Moscow, Russia

    2013 – 2015

  • Scholarship from the Foundation for the Development of Innovation Education, Russia.

    2012 – 2014

Ivan received both a BSc and a MSc in Applied Physics and Math from Moscow Institute of Physics and Technology (MIPT) and completed a graduate program in Biophysics at Center for Theoretical Problems of Physico-Chemical Pharmacology (CTP PCP).

He has a strong academic background with experience in cardiovascular physiology, single-molecule biophysics, and stochastic modelling. While pursuing his scientific career as a Researcher at CTP PCP, Ivan became more interested in the foundation of all modern research – proper data analysis – and has shifted his focus to industrial data science and machine learning. Currently, Ivan is a Senior Data Scientist at ICE Ltd developing analytical and forecasting solutions for the airline industry.

See full profile

Apply for this course

Snap up your chance to enroll before all spaces fill up.

Applied Probability and Statistics

by Ivan Gonchar

Total hours

45 Hours

Dates

Dec 04 - Dec 22, 2023

Fee for single course

€1500

Fee for degree students

€750

How to secure your spot

Complete the form below to kickstart your application

Schedule your Harbour.Space interview

If successful, get ready to join us on campus

FAQ

Will I receive a certificate after completion?

Yes. Upon completion of the course, you will receive a certificate signed by the director of the program your course belonged to.

Do I need a visa?

This depends on your case. Please check with the Spanish or Thai consulate in your country of residence about visa requirements. We will do our part to provide you with the necessary documents, such as the Certificate of Enrollment.

Can I get a discount?

Yes. The easiest way to enroll in a course at a discounted price is to register for multiple courses. Registering for multiple courses will reduce the cost per individual course. Please ask the Admissions Office for more information about the other kinds of discounts we offer and what you can do to receive one.