The course takes place in period

1 (2023-08-01 to 2023-10-22)

Level/category

Professional studies

Teaching language

English

Type of course

Compulsory

Cycle/level of course

Second

Recommended year of study

1

Total number of ECTS

5 cr

Competency aims

The aim of the course is to introduce the
student to the different concepts of
implementing an analytics process.
Students learn the process of problem solving in
analytics from data understanding and
preprocessing, through modelling choices and
implementation until the interpretation,
visualization and utilization of the analysis.
We will look at typical real-life applications of
analytics.
The course will provide hands-on lectures to
performing the steps of modeling and analysis.

Learning outcomes

Knowledge
At the end of the course the student is
expected to be able to model
predictive time series problems that use
machine learning for performing
regression.
Skill
The student learn to implement an
analytics process for forecasting and to validate
results by calculating forecasting errors

Course contents

This course includes topics on analytics systems,
Python development, feature engineering, time series
forecasting, visualization, and error calculation.

Prerequisites and co-requisites

Understanding of programming.

Recommended or required reading

See literature as specified on Itslearning.

Mode of Delivery

Multiform education

Assessment requirements

To pass the course the student should pass the
following examinations:
Assignment 1 as specified in Itslearning.
Project 1 as specified in Itslearning.

The examinations contribute to the final grade
as follows:

Assignment 1 - 10%
Project 1 - 90%

Teacher

  • Scherbakov-Parland Andrej
  • Westerlund Magnus

Examiner

Westerlund Magnus

Group size

No limit (40 students enrolled)

Assignments valid until

12 months after course has ended

Course enrolment period

2023-08-10 to 2023-09-06

Room reservations
Date Time Room Title Description Organizer
2023-08-31 13:00 - 18:00 D4110 Introduction to Analytics https://arcada.zoom.us/j/9442966290?pwd=cEdjMzJWWmVxUlQyNktCbXpKREhsZz09 Westerlund Magnus
2023-09-01 13:00 - 18:00 D4109 Introduction to Analytics https://arcada.zoom.us/j/9442966290?pwd=cEdjMzJWWmVxUlQyNktCbXpKREhsZz09 Westerlund Magnus
2023-09-14 13:00 - 18:00 D4109 Introduction to Analytics https://arcada.zoom.us/j/9442966290?pwd=cEdjMzJWWmVxUlQyNktCbXpKREhsZz09 Westerlund Magnus
2023-09-15 13:00 - 18:00 D4109 Introduction to Analytics https://arcada.zoom.us/j/9442966290?pwd=cEdjMzJWWmVxUlQyNktCbXpKREhsZz09 Westerlund Magnus
2023-09-28 13:00 - 18:00 D4109 Introduction to Analytics https://arcada.zoom.us/j/9442966290?pwd=cEdjMzJWWmVxUlQyNktCbXpKREhsZz09 Westerlund Magnus
2023-09-29 13:00 - 18:00 D4109 Introduction to Analytics https://arcada.zoom.us/j/9442966290?pwd=cEdjMzJWWmVxUlQyNktCbXpKREhsZz09 Westerlund Magnus

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