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Studies
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The Institute
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Studies
Admissions
The Institute
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DS412BKK

Time Series Analysis

Bangkok Campus
May 06, 2024 - May 24, 2024
The course gives a 360° view of time series analysis methods and real-world problems. The main focus is on forecasting, with the range of solutions from simple averaging tonne-based sequential models.
Bangkok Campus
May 06, 2024 - May 24, 2024
Evgeniy Riabenko

Faculty

Evgeniy Riabenko

Senior Data Scientist at The Trade Desk, London

Course length

3 weeks

Duration

3 hours
per day

Total hours

45 hours

Credits

6 ECTS

Language

English

Course type

Offline

Fee for single course

€1500

Fee for degree students

€750

Skills you’ll learn

Anomaly DetectionCausal Analysis
OverviewCourse outlineCourse materialsPrerequisitesMethod & grading

Overview

The course gives a 360° view of time series analysis methods and real-world problems. The main focus is on forecasting, with a range of solutions from simple averaging to NN-based sequential models. The course also covers unsupervised learning problems such as clustering and anomaly detection, as well as causal inference on time series data.

Learning highlights

  • The central goal of the course is to learn how to do data science on time-dependent datasets.

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

Session 1

-

Tuesday
2

Introduction

Probability and statistics basics. Time series.

Wednesday
3

Forecasting

Forecasting problem formulation. Simple solutions. Evaluation.

Thursday
4

ARIMA models

Model structure, fitting, and testing.

Friday
5

Other statistical models

ETS, CES, ARCH/GARCH, Theta, etc

Monday
6

Session 6

Sparse, count, categorical time series.

Tuesday
7

Simple machine learning methods

Regression, classical ML, simple neural networks.

Wednesday
8

Complex machine learning methods-1

Neural networks for time series.

Thursday
9

Session 9

Complex machine learning methods-2.

Friday
10

Multi-series forecasting

Multivariate methods for independent, correlated and hierarchical time series.

Monday
11

Multi-model forecasting

Combining simpler models.

Tuesday
12

Session 12

Predictive maintenance and anomaly detection.

Wednesday
13

Session 13

Time series clustering.

Thursday
14

Causal analysis

Granger causality, causal impact, causal discovery.

Friday
15

Session 15

Final exam

Prerequisites

Probability, statistics, and Python.

Methodology

Lectures, exercises, and individual work.

Grading

The final grade will be composed of the following criteria:
10% - Assignment 1
20% - Assignment 2
20% - Assignment 3
50% - Final exam
Evgeniy Riabenko

Faculty

Evgeniy Riabenko

Senior Data Scientist at The Trade Desk, London

Evgeniy Riabenko is a data scientist and researcher with 15 years of experience in both industry and academia. He got his PhD in mathematical modelling from Moscow State University, and has expertise in statistics, machine learning, optimization, and bioinformatics.

He taught statistics and data analysis courses at Harbour Space, Moscow State University, Moscow Institute of Physics and Technology, Higher School of Economics, as well as on various online platforms.

See full profile

Apply for this course

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

Time Series Analysis

by Evgeniy Riabenko

Total hours

45 Hours

Dates

May 06 - May 24, 2024

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.