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Studies
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CS115BKK

Introduction to Probability and Statistics

Bangkok Campus
Jul 10, 2023 - Jul 28, 2023
This course will teach you the fundamentals of Probability Theory and Statistics. You will learn how to compute the probability of an event and find out how to make meaningful inferences from data.
Bangkok Campus
Jul 10, 2023 - Jul 28, 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

Data VisualisationRandom VariablesProbability of EventsProbabilistic ModellingStatistical InferenceHypothesis TestingLinear Regression
OverviewCourse outlineCourse materialsPrerequisitesMethod & grading

Overview

This introductory course covers essential topics in probability theory and statistics, and provides the foundation for advanced courses in data analysis and complex probability spaces. Starting with generic probabilistic concepts, we’ll learn to quantify probabilities of events in finite and infinite sample spaces, study different probability distributions and properties of random variables, and their use in probabilistic modelling in various applications. In the second part of the course, we’ll bridge from probability theory to statistical inference and learn the basics of data analysis and visualisation. We’ll study and apply methods of parametric estimation, hypothesis testing and regression analysis to real-word problems using modern Python tools

Learning highlights

  • Learn the core concepts of probability theory
  • Get familiarised with commonly used probability distributions and their properties
  • Understand basic principles of statistical inference, data visualisation and hypothesis testing
  • Practice application of Python tools to perform probabilistic modelling and statistical 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

Probability, statistics and their applications

Tuesday
2

Foundation of Probability

Axioms. Events and their properties

Wednesday
3

Finite Probability Spaces

Counting rules and combinatorics

Thursday
4

Conditional Probability

Independence. Bayes’ Rule

Friday
5

Random Variables

Expectation, variance and their properties

Monday
6

Discrete Probability Distributions

Bernoulli, Binomial, Poisson

Tuesday
7

Continuous Probability Distributions

Uniform, Normal, Exponential

Wednesday
8

Joint Distributions

Correlation and independence of random variables.

Thursday
9

Limit Theorems and Concentration Inequalities

Limit Theorems and Concentration Inequalities

Friday
10

Statistical Analysis

Sampling, descriptive statistics, and EDA

Monday
11

Estimators and their Properties

Point and interval estimation

Tuesday
12

Maximum Likelihood Estimators

Maximum Likelihood Estimators

Wednesday
13

Hypothesis Testing

P-values, selected tests and applications

Thursday
14

Regression analysis

Ordinary least squares

Friday
15

Final Exam

Final Exam

Prerequisites

Univariate and Multivariate Calculus

Basic Combinatorics

Basic Set Theory

Methodology

Lectures, seminars, homework assignments, and individual work

After and before each class students are expected to read materials on theory to deeply understand concepts of probability theory and statistics

Students are given homework assignments after each class to practise the 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.

Introduction to Probability and Statistics

by Ivan Gonchar

Total hours

45 Hours

Dates

Jul 10 - Jul 28, 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.