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Data AnalyticsLaajuus (3 cr)

Code: HL00BD67

Credits

3 op

Teaching language

  • Finnish

Responsible person

  • Riikka Ahlgren

Objective

Object of the course
You know the central theoretical concepts and methods of data analytics and business intelligence. You understand how data affects on business.You identify, understand and describe the core business processes. You can collect, modify, interpret and visualize data in order to develop business processes. You use the applicable tools in your tasks.

Course competences
Learning to learn

Learning objectives of the course
You gain skills to utilize data to support business decisions. After completing the course you have knowledge on the possibilites and benefits of using data-analytics in your own field of business.

Content

Business processes and business intelligence. Data sources and methods for collecting, storing, analyzing and visualizing the data. Ethical and transparent utilization of data in business. Using MS PowerBI-software.

Qualifications

Basics of statistics, basics of spreadsheet calculations.

Assessment criteria, satisfactory (1)

Adequate 1
You know the central principles of data analytics and business intelligence. You know the possibilities of its use in business. You can collect and modify the data. You can use some tools with guidance.

Satisfactory 2
You understand the central principles of data analytics and business intelligence. You understand the possibilities of its use in business. You can collect and modify the data. You use tools somewhat independently.

Assessment criteria, good (3)

Good 3
You apply the principles and tools of data analytics and business intelligence according to business situations. You can collect, modify, interpret and visualize the data. You use applicable tools independently.

Very Good 4
You apply the principles and tools of data analytics and business intelligence according to business situations in order to support decision making. You can develop business based on data.

Assessment criteria, excellent (5)

Excellent 5
You apply the principles and tools of data analytics and business intelligence in business development. You can develop and boost business based on data. You can evaluate and handle the data ethically, critically and according to purpose. You argue the benefits and value of your decisions based on data.

Further information

The course is recommended for students of marketing, leadership, sport business and accounting, who want to deepen their understanding on business intelligence.

Enrollment

01.08.2024 - 22.08.2024

Timing

26.08.2024 - 18.12.2024

Number of ECTS credits allocated

3 op

Virtual portion

3 op

Mode of delivery

Online learning

Unit

School of Business

Teaching languages
  • Finnish
Seats

20 - 40

Degree programmes
  • Bachelor's Degree Programme in Business Management
Teachers
  • Riikka Ahlgren
  • Teija Koskinen
Groups
  • ZJA24SH
    Avoin amk, lita
  • HTL22S1
    Liiketalouden tutkinto-ohjelma (AMK)
  • HTLDIG
    Digital Business, Business Administration
  • HTL22SIY
    Liiketalouden tutkinto-ohjelma (AMK)

Objectives

Object of the course
You know the central theoretical concepts and methods of data analytics and business intelligence. You understand how data affects on business.You identify, understand and describe the core business processes. You can collect, modify, interpret and visualize data in order to develop business processes. You use the applicable tools in your tasks.

Course competences
Learning to learn

Learning objectives of the course
You gain skills to utilize data to support business decisions. After completing the course you have knowledge on the possibilites and benefits of using data-analytics in your own field of business.

Content

Business processes and business intelligence. Data sources and methods for collecting, storing, analyzing and visualizing the data. Ethical and transparent utilization of data in business. Using MS PowerBI-software.

Time and location

The course will be implemented as a classroom teaching.
Lessons are recorded when applicable for the part-time students (IY-group).

Learning materials and recommended literature

EMC Education Services & Services, E. 2015. Data science & big data analytics: Discovering, analyzing, visualizing and presenting data. 1st edition. Indianapolis, Indiana: John Wiley & Sons.

Knight, D., Ostrowsky, E., Pearson, M., & Schacht, B. (2022). Microsoft Power BI quick start guide: The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more (Third edition, colored version.). Packt Publishing Ltd.

Other material listed in the learning environment (Moodle).

Teaching methods

Contact lessons at Rajakatu Campus
Independent exercises
Quizzes
Pair work

Practical training and working life connections

Possible company visitors will be confirmed during the course.
Learning assignment can be done as a commission to a case company.

Exam dates and retake possibilities

Exam is not included in this course.

Alternative completion methods

Accreditation (inclusion)
Recognition of informal learning

Further instructions can be found in the Degree Regulations and in the Bachelor's Degree study guide.

Student workload

Allocation of time on various tasks and student work load in total 81h
Lectures 20h
Independent familiarization with learning material 24h
Exercises and assignments 37h

Content scheduling

The course includes independent familiarization with learning material as well as contact lessons and exercises and assignments.

Further information for students

Open university of applied sciences 3

The course is mandatory in Digital Business specialization.
The course is recommended to Financial Management specialization students.
This course is targeted also to students in Tourism management and Service Business (2.-3. year, elective studies).

The assessment of the course is based on the following credits:
exercises and assignments (100%, 3 ECTS)

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You know the central principles of data analytics and business intelligence. You know the possibilities of its use in business. You can collect and modify the data. You can use some tools with guidance.

Satisfactory 2
You understand the central principles of data analytics and business intelligence. You understand the possibilities of its use in business. You can collect and modify the data. You use tools somewhat independently.

Evaluation criteria, good (3-4)

Good 3
You apply the principles and tools of data analytics and business intelligence according to business situations. You can collect, modify, interpret and visualize the data. You use applicable tools independently.

Very Good 4
You apply the principles and tools of data analytics and business intelligence according to business situations in order to support decision making. You can develop business based on data.

Evaluation criteria, excellent (5)

Excellent 5
You apply the principles and tools of data analytics and business intelligence in business development. You can develop and boost business based on data. You can evaluate and handle the data ethically, critically and according to purpose. You argue the benefits and value of your decisions based on data.

Prerequisites

Basics of statistics, basics of spreadsheet calculations.

Further information

The course is recommended for students of marketing, leadership, sport business and accounting, who want to deepen their understanding on business intelligence.

Enrollment

01.08.2023 - 24.08.2023

Timing

28.08.2023 - 19.12.2023

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Business

Campus

Main Campus

Teaching languages
  • Finnish
Seats

20 - 40

Degree programmes
  • Bachelor's Degree Programme in Business Management
Teachers
  • Riikka Ahlgren
  • Teija Koskinen
Groups
  • HTL21S1
    Liiketalouden tutkinto-ohjelma (AMK)
  • ZJA23SH
    Avoin amk, lita
  • HTL21SIY
    Liiketalouden tutkinto-ohjelma (AMK)
  • HTLDIG
    Digital Business, Business Administration

Objectives

Object of the course
You know the central theoretical concepts and methods of data analytics and business intelligence. You understand how data affects on business.You identify, understand and describe the core business processes. You can collect, modify, interpret and visualize data in order to develop business processes. You use the applicable tools in your tasks.

Course competences
Learning to learn

Learning objectives of the course
You gain skills to utilize data to support business decisions. After completing the course you have knowledge on the possibilites and benefits of using data-analytics in your own field of business.

Content

Business processes and business intelligence. Data sources and methods for collecting, storing, analyzing and visualizing the data. Ethical and transparent utilization of data in business. Using MS PowerBI-software.

Time and location

The course will be implemented as a classroom teaching.
Lessons are recorded when applicable for the part-time students (IY-group).

Learning materials and recommended literature

EMC Education Services & Services, E. 2015. Data science & big data analytics: Discovering, analyzing, visualizing and presenting data. 1st edition. Indianapolis, Indiana: John Wiley & Sons.

Knight, D., Ostrowsky, E., Pearson, M., & Schacht, B. (2022). Microsoft Power BI quick start guide: The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more (Third edition, colored version.). Packt Publishing Ltd.

Other material listed in the learning environment (Moodle).

Teaching methods

Lectures
Independetn exercises
Questionnaires
Pair work learning assignment

Practical training and working life connections

Possible company visitors will be confirmed during the course.
Learning assignment can be done as a commission to a case company.

Exam dates and retake possibilities

Exam is not included in this course.

Alternative completion methods

Accreditation (inclusion)
Recognition of informal learning

Further instructions can be found in the Degree Regulations and in the Bachelor's Degree study guide.

Student workload

Allocation of time on various tasks and student work load in total 81h
Lectures 20h
Independent familiarization with learning material 24h
Exercises and assignments 37h

Content scheduling

The course includes independent familiarization with learning material as well as lectures and exercises and assignments.

Further information for students

Open university of applied sciences 3

The course is mandatory in Digital Business specialization.
The course is recommended to Financial Management specialization students.
This course is targeted also to students in Tourism management and Service Business (2.-3. year, elective studies).

The assessment of the course is based on the following credits:
exercises and assignments (100%, 3 ECTS)

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You know the central principles of data analytics and business intelligence. You know the possibilities of its use in business. You can collect and modify the data. You can use some tools with guidance.

Satisfactory 2
You understand the central principles of data analytics and business intelligence. You understand the possibilities of its use in business. You can collect and modify the data. You use tools somewhat independently.

Evaluation criteria, good (3-4)

Good 3
You apply the principles and tools of data analytics and business intelligence according to business situations. You can collect, modify, interpret and visualize the data. You use applicable tools independently.

Very Good 4
You apply the principles and tools of data analytics and business intelligence according to business situations in order to support decision making. You can develop business based on data.

Evaluation criteria, excellent (5)

Excellent 5
You apply the principles and tools of data analytics and business intelligence in business development. You can develop and boost business based on data. You can evaluate and handle the data ethically, critically and according to purpose. You argue the benefits and value of your decisions based on data.

Prerequisites

Basics of statistics, basics of spreadsheet calculations.

Further information

The course is recommended for students of marketing, leadership, sport business and accounting, who want to deepen their understanding on business intelligence.

Enrollment

01.08.2022 - 25.08.2022

Timing

29.08.2022 - 21.12.2022

Number of ECTS credits allocated

3 op

Mode of delivery

Face-to-face

Unit

School of Business

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 40

Degree programmes
  • Bachelor's Degree Programme in Business Management
Teachers
  • Henna Siltanen
  • Riikka Ahlgren
Groups
  • HTL20IY
    Bachelor's Degree Programme in Business Management
  • HTL20S1
    Liiketalous
  • HTLDIG
    Digital Business, Business Administration

Objectives

Object of the course
You know the central theoretical concepts and methods of data analytics and business intelligence. You understand how data affects on business.You identify, understand and describe the core business processes. You can collect, modify, interpret and visualize data in order to develop business processes. You use the applicable tools in your tasks.

Course competences
Learning to learn

Learning objectives of the course
You gain skills to utilize data to support business decisions. After completing the course you have knowledge on the possibilites and benefits of using data-analytics in your own field of business.

Content

Business processes and business intelligence. Data sources and methods for collecting, storing, analyzing and visualizing the data. Ethical and transparent utilization of data in business. Using MS PowerBI-software.

Time and location

The course will be implemented as a classroom teaching.
Lessons are recorded when applicable for the part-time students (IY-group).

Learning materials and recommended literature

EMC Education Services & Services, E. 2015. Data science & big data analytics: Discovering, analyzing, visualizing and presenting data. 1st edition. Indianapolis, Indiana: John Wiley & Sons.

Knight, D., Knight, B., Pearson, M. & Quintana, M. 2018. Microsoft Power BI Quick Start Guide. 1st edition. Packt Publishing.

Other material listed in the learning environment (Moodle).

Teaching methods

Lectures
Independetn exercises
Questionnaires
Pair work learning assignment

Practical training and working life connections

Possible company visitors will be confirmed during the course.
Learning assignment can be done as a commission to a case company.

Exam dates and retake possibilities

Exam is not included in this course.

Alternative completion methods

Accreditation (inclusion)
Recognition of informal learning

Further instructions can be found in the Degree Regulations and in the Bachelor's Degree study guide.

Student workload

Allocation of time on various tasks and student work load in total 81h
Lectures 20h
Independent familiarization with learning material 24h
Exercises and assignments 37h

Content scheduling

The course includes independent familiarization with learning material as well as lectures and exercises and assignments.

Further information for students

Open university of applied sciences 3

The course is mandatory in Digital Business specialization.
The course is recommended to Financial Management specialization students.
This course is targeted also to students in Tourism management and Service Business (2.-3. year, elective studies).

The assessment of the course is based on the following credits:
exercises and assignments (100%, 3 ECTS)

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Adequate 1
You know the central principles of data analytics and business intelligence. You know the possibilities of its use in business. You can collect and modify the data. You can use some tools with guidance.

Satisfactory 2
You understand the central principles of data analytics and business intelligence. You understand the possibilities of its use in business. You can collect and modify the data. You use tools somewhat independently.

Evaluation criteria, good (3-4)

Good 3
You apply the principles and tools of data analytics and business intelligence according to business situations. You can collect, modify, interpret and visualize the data. You use applicable tools independently.

Very Good 4
You apply the principles and tools of data analytics and business intelligence according to business situations in order to support decision making. You can develop business based on data.

Evaluation criteria, excellent (5)

Excellent 5
You apply the principles and tools of data analytics and business intelligence in business development. You can develop and boost business based on data. You can evaluate and handle the data ethically, critically and according to purpose. You argue the benefits and value of your decisions based on data.

Prerequisites

Basics of statistics, basics of spreadsheet calculations.

Further information

The course is recommended for students of marketing, leadership, sport business and accounting, who want to deepen their understanding on business intelligence.