Kursens beskrivning

LEARNING OUTCOMES

Business data analytics is at the intersection of business and technology. Companies gather a large  amount of data to aid business governance. Data is being captured everywhere we look and is used in  practically every business process, from product development and advertising to hiring. Data and  algorithms have a tendency to outperform human intuition in a wide variety of circumstances. In this  course you will learn the basics of operational and analytical databases, data mining, and data  visualization, which will enable you to identify different data resources, differentiate between numbers  and numbers that matter, and make data-supported business decisions 

Credits: 6

Schedule: 27.05.2024 - 30.08.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Victor de Bruin

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

• valid for whole curriculum period:

  Operational Databases 

  Entity Relationship Modeling (ER Modeling) 

  Relational Modeling 

  Data Querying 

  Data Quality 

  Data Warehouses 

  Dimensional Modeling (Star Schemas) 

  Data Visualization 

  Data Mining 

  Big Data 

Assessment Methods and Criteria

• valid for whole curriculum period:

  Class participation
  Quizzes
  Individual assignments
  Group project

Workload

• valid for whole curriculum period:

  Total 160 h (6 ECTS)
  Lectures 42 h
  Independent and team work: 118 h
  Compulsory attendance, max. 3 absences

DETAILS

Study Material

• valid for whole curriculum period:

  Articles and other materials provided on the course.

Substitutes for Courses

• valid for whole curriculum period:

  Substitutes for Courses

Prerequisites

• valid for whole curriculum period:

  Prerequisites

FURTHER INFORMATION

Further Information

• valid for whole curriculum period:

  Teaching Language : English

  Teaching Period : 2022-2023 Summer
  2023-2024 Summer

  Enrollment :

  Registration for courses will take place on Sisu (sisu.aalto.fi). Course available as a part of the Information & Service Business track of the Information Technology Program. Application to the program through itp.aalto.fi.

Beskrivning