Study Guide

Objective

You familiarize yourself with the topics from a data perspective. You can search for hot topics and related discussions and conversations about different services. You understand how data can be used to make an impact.

Content

What issues have been and are being talked about? How has the conversation been affected by data? How can I search for data about interesting discussion topics to describe the topic and the data in the discussion? What does social media automation mean?

Materials

Web materials. The course also utilizes large language models (LLMs) so an prior access to a large language model (such as those provided by OpenAI) is beneficial.

Teaching methods

Individual learning tracks should always be discussed with the lecturers

Employer connections

The course may have assignments made for companies or assignments agreed individually with students.

Student workload

1 cr = 27 hours work

Evaluation scale

1-5

Assessment methods and criteria

Final grade is based on the evaluation of the final project(s)

Objective

You can import and clean data from various sources to BI tools. You can combine data from different sources. You can calculate and change the processing of data with the BI tool. You can create different visualizations. You can publish the reports you create to your target audience. You can give a presentation based on the report you have prepared.

Content

How can BI tools be utilized in data analytics and reporting? How do I get data into tools for analysis? How is data cleaned up? How can I combine data from different sources? How can I do data calculation and other processing for data? How is data visualization done with different BI tools in terms of accessibility? How do I publish my report?

Materials

Web materials

Teaching methods

Individual learning tracks can be discussed about with the lecturer

Employer connections

The course may have assignments made for companies or assignments agreed individually with students.

Student workload

1 cr = 27 hours work

Evaluation scale

1-5

Assessment methods and criteria

Evaluation according given exercises and projects.

Objective

You understand the principles of futurology.
You understand when and how to predict the future based on existing data.
You can create mathematical models for forecasts.
You can write future-oriented reports.

Content

What different methods can be used to study the future?
How can trends be drawn from existing data to predict future values for the data?

Materials

Web materials

Teaching methods

Individual learning tracks should always be discussed with the lecturers

Employer connections

The course may have assignments made for companies or assignments agreed individually with students.

Student workload

1 cr = 27 hours work

Evaluation scale

1-5

Assessment methods and criteria

There are multiple lecturers in the course and final evaluation is based on the individual evaluations of the lecturers and the evaluation of the final project(s)

Objective

You know how to take different consumers of information into account.
You know the factors that affect the readability of information.
You can evaluate the advantages and disadvantages of different ways of presenting information.
You can create visualizations that are illustrative and inspiring.

Content

What does information design mean?
What factors affect the readability of information?
How to make illustrative visualizations?
What programs can be utilized in information design and how?

Materials

Web materials

Teaching methods

Individual learning tracks can be discussed about with the lecturer

Employer connections

The course may have assignments made for companies or assignments agreed individually with students.

Student workload

1 cr = 27 hours work

Evaluation scale

1-5

Assessment methods and criteria

Evaluation according given exercises and projects.

Objective

You understand the importance of data analytics for businesses. You know the basic concepts of data analytics. You know different data sources. You understand the importance of visualization and communication. You know some programs related to data analytics. You can do small analyzes on a simple data set using a spreadsheet program. You understand your responsibilities and are able to take sustainability into account when preparing reports. You examine data critically.

Content

What is the significance of data analytics? Where can I get data? How has the presentation of the data been able to make an impact? What programs can be utilized in data analytics? How can I do a simple analysis on open data using a spreadsheet program? What mathematical bases do I need when analyzing data? How do I act responsibly and with sustainability in mind? How do I make accessible reports?

Materials

The course uses online materials, which are announced on the course platform as the course progresses.

Teaching methods

This is an online course that will be done as it is. However, students can proceed at their own pace within the limits set by the start and end dates of the course.

Employer connections

-

Exam schedules

The exams that you want to be included in the calculation of the overall grade must be completed by the end date of the implementation.

International connections

-

Student workload

1 cr = 27h student work

Content scheduling

-

Further information

There is no possibility of renewal in the course, but you must register for a new implementation in order to renew or get better grade.

Evaluation scale

1-5

Assessment methods and criteria

Assessment is based on online exams with questions about the theory and the tasks.

There is no possibility of renewal in the course, but you must register for a new implementation in order to renew or get better grade.

Objective

You understand the principles of artificial intelligence and machine learning.
You can determine what type of machine learning is appropriate for a given task.
You can do small artificial intelligence projects.

Content

How does artificial intelligence work?
How can machine learning be classified?
What are the different machine learning solutions suitable for?
How can simple artificial intelligence solutions be made?

Materials

Web materials

Teaching methods

Individual learning tracks should always be discussed with the lecturers

Employer connections

The course may have assignments made for companies or assignments agreed individually with students.

Student workload

1 cr = 27 hours work

Evaluation scale

1-5

Assessment methods and criteria

There are multiple lecturers in the course and final evaluation is based on the individual evaluations of the lecturers and the evaluation of the final project(s)

Objective

You understand what different business metrics tell. You can calculate different indicators. You know where to find the data used to calculate the various indicators.

Content

What elements are measured in different companies? What do the different key figures tell about the company's operations? How are the different indicators calculated? Where do the figures needed for the calculation come from? How are indicators used in companies?

Evaluation scale

1-5

Objective

You are able to define the concepts of data and knowledge management.
You are able to classify intellectual capital and explain the connection between intellectual capital and a company’s performance.
You know the concept of business intelligence and are able to apply it in daily business operations.

Content

What is data and knowledge management?
How can intellectual capital be classified and how it affects a company’s performance?
What is business intelligence and how can it be applied in daily business operations?

Materials

The course uses online materials, which are announced on the course platform as the course progresses.

Teaching methods

This is an online course that will be done as it is. However, students can proceed at their own pace within the limits set by the start and end dates of the course.

Employer connections

-

Exam schedules

The exams that you want to be included in the calculation of the overall grade must be completed by the end date of the implementation.

International connections

-

Student workload

1 cr = 27h student work

Content scheduling

-

Further information

There is no possibility of renewal in the course, but you must register for a new implementation in order to renew or get better grade.

Evaluation scale

1-5

Assessment methods and criteria

Assessment is based on online exams with questions about the theory and the tasks.

There is no possibility of renewal in the course, but you must register for a new implementation in order to renew or get better grade.

Objective

You can describe a relational database.
You can collect data from business databases for analyzing with SQL-language.
You know the basics of the data warehouse.

Content

How to use databases?
How to collect data from business databases with SQL-language?
How to take advantage of data warehouse in business intelligence?

Teaching methods

Individual learning tracks can be discussed with the lecturer

Objective

You can analyze data sets using statistical methods. In particular, you will be able to perform statistical tests and modify data using mathematical software.

Content

How can different phenomena be described using statistical methods? How are statistical data analyzed? How can you leverage different software for statistical analysis?

Evaluation scale

1-5

Objective

You understand what elements can be measured in various online services and what they might tell. You can use the analysis tools of different services to analyze traffic. You can import data from systems elsewhere for analysis. You can combine data from different sources and perform analyzes based on the combined data.

Content

What information is available about the users of various web services and social media? How can data be collected? In what ways can data be analyzed? What meanings are hidden behind the data stream?

Materials

The course uses online materials, which are announced on the course platform as the course progresses.

Teaching methods

This is an online course that will be done as it is. However, students can proceed at their own pace within the limits set by the start and end dates of the course.

Employer connections

-

Exam schedules

The exams that you want to be included in the calculation of the overall grade must be completed by the end date of the implementation.

International connections

-

Student workload

1 cr = 27h student work

Content scheduling

-

Further information

There is no possibility of renewal in the course, but you must register for a new implementation in order to renew or get better grade.

Evaluation scale

1-5

Assessment methods and criteria

Assessment is based on online exams with questions about the theory and the tasks.

There is no possibility of renewal in the course, but you must register for a new implementation in order to renew or get better grade.

Objective

You have an understanding of the different systems used by companies and the data they contain. You are familiar with the proprietary reporting features of some popular software. You can import data from different systems elsewhere for reporting and analysis.

Content

What kind of data do different companies use internally? Where is this data collected? Where is it stored? How is it utilized? How can it be analyzed?

Materials

Web materials

Teaching methods

Individual learning tracks should always be discussed with the lecturers

Employer connections

The course may have assignments made for companies or assignments agreed individually with students.

Student workload

1 cr = 27 hours work

Evaluation scale

1-5

Assessment methods and criteria

There are multiple lecturers in the course and final evaluation is based on the individual evaluations of the lecturers and the evaluation of the final project(s)

Objective

You can analyze data sets using statistical methods. In particular, you will be able to perform statistical tests and modify data using mathematical software.

Content

How can different phenomena be described using statistical methods? How are statistical data analyzed? How can you leverage different software for statistical analysis?

Evaluation scale

1-5

Objective

You familiarize yourself with the topics from a data perspective. You can search for hot topics and related discussions and conversations about different services. You understand how data can be used to make an impact.

Content

What issues have been and are being talked about? How has the conversation been affected by data? How can I search for data about interesting discussion topics to describe the topic and the data in the discussion? What does social media automation mean?

Materials

Web materials. The course also utilizes large language models (LLMs) so an prior access to a large language model (such as those provided by OpenAI) is beneficial.

Teaching methods

Individual learning tracks should always be discussed with the lecturers

Employer connections

The course may have assignments made for companies or assignments agreed individually with students.

Student workload

1 cr = 27 hours work

Evaluation scale

1-5

Assessment methods and criteria

Final grade is based on the evaluation of the final project(s)

Objective

You understand what elements can be measured in various online services and what they might tell. You can use the analysis tools of different services to analyze traffic. You can import data from systems elsewhere for analysis. You can combine data from different sources and perform analyzes based on the combined data.

Content

What information is available about the users of various web services and social media? How can data be collected? In what ways can data be analyzed? What meanings are hidden behind the data stream?

Materials

The course uses online materials, which are announced on the course platform as the course progresses.

Teaching methods

This is an online course that will be done as it is. However, students can proceed at their own pace within the limits set by the start and end dates of the course.

Employer connections

-

Exam schedules

The exams that you want to be included in the calculation of the overall grade must be completed by the end date of the implementation.

International connections

-

Student workload

1 cr = 27h student work

Content scheduling

-

Further information

There is no possibility of renewal in the course, but you must register for a new implementation in order to renew or get better grade.

Evaluation scale

1-5

Assessment methods and criteria

Assessment is based on online exams with questions about the theory and the tasks.

There is no possibility of renewal in the course, but you must register for a new implementation in order to renew or get better grade.

Objective

You can import and clean data from various sources to BI tools. You can combine data from different sources. You can calculate and change the processing of data with the BI tool. You can create different visualizations. You can publish the reports you create to your target audience. You can give a presentation based on the report you have prepared.

Content

How can BI tools be utilized in data analytics and reporting? How do I get data into tools for analysis? How is data cleaned up? How can I combine data from different sources? How can I do data calculation and other processing for data? How is data visualization done with different BI tools in terms of accessibility? How do I publish my report?

Materials

Web materials

Teaching methods

Individual learning tracks can be discussed about with the lecturer

Employer connections

The course may have assignments made for companies or assignments agreed individually with students.

Student workload

1 cr = 27 hours work

Evaluation scale

1-5

Assessment methods and criteria

Evaluation according given exercises and projects.

Objective

You understand the principles of artificial intelligence and machine learning.
You can determine what type of machine learning is appropriate for a given task.
You can do small artificial intelligence projects.

Content

How does artificial intelligence work?
How can machine learning be classified?
What are the different machine learning solutions suitable for?
How can simple artificial intelligence solutions be made?

Materials

Web materials

Teaching methods

Individual learning tracks should always be discussed with the lecturers

Employer connections

The course may have assignments made for companies or assignments agreed individually with students.

Student workload

1 cr = 27 hours work

Evaluation scale

1-5

Assessment methods and criteria

There are multiple lecturers in the course and final evaluation is based on the individual evaluations of the lecturers and the evaluation of the final project(s)

Objective

You understand what different business metrics tell. You can calculate different indicators. You know where to find the data used to calculate the various indicators.

Content

What elements are measured in different companies? What do the different key figures tell about the company's operations? How are the different indicators calculated? Where do the figures needed for the calculation come from? How are indicators used in companies?

Evaluation scale

1-5

Objective

You have an understanding of the different systems used by companies and the data they contain. You are familiar with the proprietary reporting features of some popular software. You can import data from different systems elsewhere for reporting and analysis.

Content

What kind of data do different companies use internally? Where is this data collected? Where is it stored? How is it utilized? How can it be analyzed?

Materials

Web materials

Teaching methods

Individual learning tracks should always be discussed with the lecturers

Employer connections

The course may have assignments made for companies or assignments agreed individually with students.

Student workload

1 cr = 27 hours work

Evaluation scale

1-5

Assessment methods and criteria

There are multiple lecturers in the course and final evaluation is based on the individual evaluations of the lecturers and the evaluation of the final project(s)

Objective

You can describe a relational database.
You can collect data from business databases for analyzing with SQL-language.
You know the basics of the data warehouse.

Content

How to use databases?
How to collect data from business databases with SQL-language?
How to take advantage of data warehouse in business intelligence?

Teaching methods

Individual learning tracks can be discussed with the lecturer

Objective

You are able to define the concepts of data and knowledge management.
You are able to classify intellectual capital and explain the connection between intellectual capital and a company’s performance.
You know the concept of business intelligence and are able to apply it in daily business operations.

Content

What is data and knowledge management?
How can intellectual capital be classified and how it affects a company’s performance?
What is business intelligence and how can it be applied in daily business operations?

Materials

The course uses online materials, which are announced on the course platform as the course progresses.

Teaching methods

This is an online course that will be done as it is. However, students can proceed at their own pace within the limits set by the start and end dates of the course.

Employer connections

-

Exam schedules

The exams that you want to be included in the calculation of the overall grade must be completed by the end date of the implementation.

International connections

-

Student workload

1 cr = 27h student work

Content scheduling

-

Further information

There is no possibility of renewal in the course, but you must register for a new implementation in order to renew or get better grade.

Evaluation scale

1-5

Assessment methods and criteria

Assessment is based on online exams with questions about the theory and the tasks.

There is no possibility of renewal in the course, but you must register for a new implementation in order to renew or get better grade.

Objective

You understand the principles of futurology.
You understand when and how to predict the future based on existing data.
You can create mathematical models for forecasts.
You can write future-oriented reports.

Content

What different methods can be used to study the future?
How can trends be drawn from existing data to predict future values for the data?

Materials

Web materials

Teaching methods

Individual learning tracks should always be discussed with the lecturers

Employer connections

The course may have assignments made for companies or assignments agreed individually with students.

Student workload

1 cr = 27 hours work

Evaluation scale

1-5

Assessment methods and criteria

There are multiple lecturers in the course and final evaluation is based on the individual evaluations of the lecturers and the evaluation of the final project(s)

Objective

You know how to take different consumers of information into account.
You know the factors that affect the readability of information.
You can evaluate the advantages and disadvantages of different ways of presenting information.
You can create visualizations that are illustrative and inspiring.

Content

What does information design mean?
What factors affect the readability of information?
How to make illustrative visualizations?
What programs can be utilized in information design and how?

Materials

Web materials

Teaching methods

Individual learning tracks can be discussed about with the lecturer

Employer connections

The course may have assignments made for companies or assignments agreed individually with students.

Student workload

1 cr = 27 hours work

Evaluation scale

1-5

Assessment methods and criteria

Evaluation according given exercises and projects.

Objective

You understand the importance of data analytics for businesses. You know the basic concepts of data analytics. You know different data sources. You understand the importance of visualization and communication. You know some programs related to data analytics. You can do small analyzes on a simple data set using a spreadsheet program. You understand your responsibilities and are able to take sustainability into account when preparing reports. You examine data critically.

Content

What is the significance of data analytics? Where can I get data? How has the presentation of the data been able to make an impact? What programs can be utilized in data analytics? How can I do a simple analysis on open data using a spreadsheet program? What mathematical bases do I need when analyzing data? How do I act responsibly and with sustainability in mind? How do I make accessible reports?

Materials

The course uses online materials, which are announced on the course platform as the course progresses.

Teaching methods

This is an online course that will be done as it is. However, students can proceed at their own pace within the limits set by the start and end dates of the course.

Employer connections

-

Exam schedules

The exams that you want to be included in the calculation of the overall grade must be completed by the end date of the implementation.

International connections

-

Student workload

1 cr = 27h student work

Content scheduling

-

Further information

There is no possibility of renewal in the course, but you must register for a new implementation in order to renew or get better grade.

Evaluation scale

1-5

Assessment methods and criteria

Assessment is based on online exams with questions about the theory and the tasks.

There is no possibility of renewal in the course, but you must register for a new implementation in order to renew or get better grade.