Introduction to Data Analytics for Business - ANA001TR1AE - Opinto-opas

Introduction to Data Analytics for Business, 5 cr - ANA001TR1AE

Upcoming implementations

Introduction to Data Analytics for Business ANA001TR1AE-3020 24.03.2025-16.05.2025 5 op (ITE2PAICB1, ...) +-
Teaching methods and instruction

Video material available in Moodle
Excel exercises
Quizzes

Learning material and recommended literature

Material available in Moodle

Recommended reading: Grady Klein and Alan Dabney: The Cartoon Introduction to Statistics

Campus

Pasila Campus

Exam dates and re-exam possibilities

Will be informed in the beginning of the course.

Teaching language

English

Timing

24.03.2025 - 16.05.2025

Learning assignments

Report Exercise sets (12 sets)

Enrollment

02.01.2025 - 21.03.2025

Content scheduling

Exercise deadlines will be informed in Moodle
Groups
- ITE2PAICB1
- VIRTUAL
- INSTRUCTED
Teachers

Jutta Heikkilä

Seats

30 - 100

Further information

Report: 20%
Exercises: 40%
Exam: 40%

You must pass the exam to pass the course.

Degree Programme

ITBBA Business Information Technology

R&D proportion

0.00 cr

Virtual proportion

5.00 cr

Evaluation scale

H-5

Current implementations

Introduction to Data Analytics for Business ANA001TR1AE-3017 19.08.2024-31.07.2025 5 op (DEMO) +-
Teaching methods and instruction

This is a demonstration or DEMO-implementation for students who already have the knowledge and skills taught on the course. The course does not have tuition or classes.

Campus

Pasila Campus

Teaching language

English

Timing

19.08.2024 - 31.07.2025

Enrollment

01.08.2024 - 31.05.2025
Groups
- DEMO
Alternative learning methods

Demonstration implementation. The course does not have tuition or classes.

Teachers

Toni Ernvall

Seats

1 - 250

Degree Programme

INTBBA International Business

R&D proportion

0.00 cr

Virtual proportion

0.00 cr

Evaluation scale

H-5
Introduction to Data Analytics for Business ANA001TR1AE-3018 13.01.2025-14.03.2025 5 op (CONTACT, ...) +-
Teaching methods and instruction

Contact sessions with lectures and Excel exercises

Learning material and recommended literature

Material available in Moodle

Recommended reading: Grady Klein and Alan Dabney: The Cartoon Introduction to Statistics

Campus

Pasila Campus

Exam dates and re-exam possibilities

Will be informed in the beginning of the course.

Teaching language

English

Timing

13.01.2025 - 14.03.2025

Learning assignments

Report Exercises (12 sets of exercises) Exam

Enrollment

02.01.2025 - 10.01.2025

Content scheduling

Contact sessions twice a week on campus
Groups
- CONTACT
- IBE3PA1
Teachers

Jutta Heikkilä

Seats

15 - 45

Further information

Report: 20%
Exercises: 40%
Exam: 40%

You must pass the exam to pass the course.

Degree Programme

INTBBA International Business

R&D proportion

0.00 cr

Virtual proportion

0.00 cr

Evaluation scale

H-5

Past implementations

Introduction to Data Analytics for Business ANA001TR1AE-3019 21.10.2024-13.12.2024 5 op (ITE2PAICB1, ...) +-
Teaching methods and instruction

Video lectures, self-studying material available in Moodle.

Assignments and exam.

Learning material and recommended literature

Material available in Moodle

Recommended reading: Grady Klein and Alan Dabney: The Cartoon Introduction to Statistics

Exam dates and re-exam possibilities

Will be informed in the beginning of the course.

Teaching language

English

Timing

21.10.2024 - 13.12.2024

Learning assignments

Exercises on descriptive statistics, correlation, regression, statistical inference etc.

Enrollment

03.06.2024 - 18.10.2024
Groups
- ITE2PAICB1
- ABEV3PCAVI
- VIRTUAL
- INSTRUCTED
Teachers

Toni Ernvall

Seats

30 - 100

Further information

Exercises and exam.

You must pass the exercises and the exam to pass the course.

Degree Programme

ITBBA Business Information Technology

R&D proportion

0.00 cr

Virtual proportion

5.00 cr

Evaluation scale

H-5
Introduction to Data Analytics for Business ANA001TR1AE-3021 05.08.2024-29.11.2024 5 op (INTBBA23SMON, ...) +-
Teaching methods and instruction

Contact sessions with lecture and Excel exercises

Learning material and recommended literature

Material available in Moodle

Recommended reading: Grady Klein and Alan Dabney: The Cartoon Introduction to Statistics

Campus

Mondragon

Exam dates and re-exam possibilities

Will be informed in the beginning of the course.

Teaching language

English

Timing

05.08.2024 - 29.11.2024

Learning assignments

Exercise 1: Descriptive statistics Exercise 2: Descriptive statistics, Statistical inference, Correlation and regression Exercise 3: All course topics
Groups
- INTBBA23SMON
- CONTACT
Teachers

Jutta Heikkilä, Diego Hernández Campos

Seats

5 - 25

Further information

Exercise 1: 20%
Exercise 2: 20%
Exercise 3: 20%
Exam: 40%

You must pass the exam to pass the course.

Degree Programme

INTBBA International Business

R&D proportion

0.00 cr

Virtual proportion

0.00 cr

Evaluation scale

H-5
Introduction to Data Analytics for Business ANA001TR1AE-3010 19.08.2024-11.10.2024 5 op (IBEB3PA1, ...) +-
Teaching methods and instruction

Contact sessions with lecture and Excel exercises

Learning material and recommended literature

Material available in Moodle

Recommended reading: Grady Klein and Alan Dabney: The Cartoon Introduction to Statistics

Campus

Pasila Campus

Exam dates and re-exam possibilities

Will be informed in the beginning of the course.

Teaching language

English

Timing

19.08.2024 - 11.10.2024

Learning assignments

Exercise 1: Descriptive statistics Exercise 2: Descriptive statistics, Statistical inference, Correlation and regression Exercise 3: All course topics

Enrollment

03.06.2024 - 16.08.2024

Content scheduling

Contact sessions twice a week on campus
Groups
- IBEB3PA1
- EVENING
- CONTACT
Teachers

Timi Kohonen

Seats

15 - 45

Further information

Exercise 1: 20%
Exercise 2: 20%
Exercise 3: 20%
Exam: 40%

You must pass the exam to pass the course.

Degree Programme

INTBBA International Business

R&D proportion

0.00 cr

Virtual proportion

0.00 cr

Evaluation scale

H-5
Introduction to Data Analytics for Business ANA001TR1AE-3007 19.08.2024-11.10.2024 5 op (CONTACT, ...) +-
Teaching methods and instruction

Contact sessions with lecture and Excel exercises

Learning material and recommended literature

Material available in Moodle

Recommended reading: Grady Klein and Alan Dabney: The Cartoon Introduction to Statistics

Campus

Pasila Campus

Exam dates and re-exam possibilities

Will be informed in the beginning of the course.

Teaching language

English

Timing

19.08.2024 - 11.10.2024

Learning assignments

Exercise 1: Descriptive statistics Exercise 2: Descriptive statistics, Statistical inference, Correlation and regression Exercise 3: All course topics

Enrollment

03.06.2024 - 16.08.2024

Content scheduling

Contact sessions twice a week on campus
Groups
- CONTACT
- IBE3PA2
- IBE3PA1
Teachers

Jutta Heikkilä, Timi Kohonen

Seats

15 - 45

Further information

Exercise 1: 20%
Exercise 2: 20%
Exercise 3: 20%
Exam: 40%

You must pass the exam to pass the course.

Degree Programme

INTBBA International Business

R&D proportion

0.00 cr

Virtual proportion

0.00 cr

Evaluation scale

H-5
Introduction to Data Analytics for Business ANA001TR1AE-3015 19.08.2024-11.10.2024 5 op (DBE3PCDBI, ...) +-
Teaching methods and instruction

Case studies generated by ERPsim simulation game
Case studies based on flat files such as csv, Access and Excel
Case studies based on data on database servers

Learning material and recommended literature

Materias are given on course Moodle page

Working life connections

Simulated business cases

Campus

Porvoo Campus

Teaching language

English

Timing

19.08.2024 - 11.10.2024

Learning assignments

Weekly assignments

Enrollment

03.06.2024 - 16.08.2024
Groups
- DBE3PCDBI
- CONTACT
- ABE3PCAVI
- EXCH
Alternative learning methods

RPL

Teachers

Veijo Vänttinen

Seats

15 - 50

Further information

Assessment based on returned assignments and questionnaires

Degree Programme

DIGIBBA Digital Business Innovations

R&D proportion

0.00 cr

Virtual proportion

0.00 cr

Evaluation scale

H-5
Introduction to Data Analytics for Business ANA001TR1AE-3016 19.08.2024-11.10.2024 5 op (IBE3PA3, ...) +-
Teaching methods and instruction

Contact sessions with lecture and Excel exercises

Learning material and recommended literature

Material available in Moodle

Recommended reading: Grady Klein and Alan Dabney: The Cartoon Introduction to Statistics

Campus

Pasila Campus

Exam dates and re-exam possibilities

Will be informed in the beginning of the course.

Teaching language

English

Timing

19.08.2024 - 11.10.2024

Learning assignments

Exercises on descriptive statistics, correlation, regression, statistical inference etc.

Enrollment

03.06.2024 - 16.08.2024
Groups
- IBE3PA3
- ITE2PAICB1
- CONTACT
Teachers

Toni Ernvall

Seats

15 - 45

Further information

Exercises and exam.

You must pass the exercises and the exam to pass the course.

Degree Programme

ITBBA Business Information Technology, INTBBA International Business

R&D proportion

0.00 cr

Virtual proportion

0.00 cr

Evaluation scale

H-5
Introduction to Data Analytics for Business ANA001TR1AE-3022 25.03.2024-17.05.2024 5 op (ITE2PAICB1, ...) +-
Teaching methods and instruction

Video lectures, self-studying material available in Moodle.
Assignments and exam.

Campus

Pasila Campus

Exam dates and re-exam possibilities

Will be informed at the beginning of the course.

Teaching language

English

Timing

25.03.2024 - 17.05.2024

Enrollment

02.01.2024 - 22.03.2024
Groups
- ITE2PAICB1
- VIRTUAL
- INSTRUCTED
Teachers

Toni Ernvall

Seats

15 - 60

Degree Programme

INTBBA International Business

R&D proportion

0.00 cr

Virtual proportion

5.00 cr

Evaluation scale

H-5
Introduction to Data Analytics for Business ANA001TR1AE-3014 25.03.2024-17.05.2024 5 op (ITE2PAICB1, ...) +-
Teaching methods and instruction

Video lectures, self-studying material available in Moodle.
Assignments and exam.

Campus

Pasila Campus

Exam dates and re-exam possibilities

Will be informed at the beginning of the course.

Teaching language

English

Timing

25.03.2024 - 17.05.2024

Enrollment

02.01.2024 - 22.03.2024
Groups
- ITE2PAICB1
- VIRTUAL
- INSTRUCTED
Teachers

Toni Ernvall

Seats

15 - 60

Degree Programme

ITBBA Business Information Technology

R&D proportion

0.00 cr

Virtual proportion

5.00 cr

Evaluation scale

H-5
Introduction to Data Analytics for Business ANA001TR1AE-3008 21.08.2023-17.05.2024 5 op (DEMO) +-
Campus

Pasila Campus

Teaching language

English

Timing

21.08.2023 - 17.05.2024

Enrollment

08.05.2023 - 08.05.2023
Groups
- DEMO
Teachers

Toni Ernvall

Seats

1 - 100

Degree Programme

INTBBA International Business

R&D proportion

0.00 cr

Virtual proportion

0.00 cr

Evaluation scale

H-5
Show all (9) Hide

After having completed this course or attained an equivalent competence level, the student:
- utilises business and customer data from various sources to support decision-making process
- processes data in Excel or other suitable software
- formulates data into tables and calculate descriptive statistics
- visualises data correctly
- analyses and interprets correlations and their significance
- is able to interpret, report and critically assess the results

- statistics and their representation as tables and charts
- descriptive statistics
- correlation and regression
- time series
- basics of statistical inference

CONTACT
ONLINE
BLENDED
VIRTUAL

If you have acquired the required learning outcomes, you can show your competences with a demonstration. If you have any questions, please contact the responsible teacher. More information and instructions regarding the recognition of learning: https://www.haaga-helia.fi/en/recognition-learning

To be announced at the beginning of the course.

The amount of data available today is enormous. For example streaming services collect data from millions of users, companies with loyalty card gather information about consumption habits, etc. The massive amount of data does not provide any benefits unless you know how to summarize, visualise and interpret it. In this course you will familiarise yourself with basic data-analysis methods needed in business - you will learn how to turn data into useful information.

When the implementation type of the course is contact, online or blended it is required that the student is present during those teaching hours that are marked in the study schedule. If you are absent more than 25%, your grade will be lowered by one. If you are absent more than 50%, the course is failed.

Prerequisite is the successful completion of course ICT Key Comeptences.

Is able to calculate basic descriptive statistics. Visualises data with basic figures and tables. Is able to list the main results.

Analyses correlations, differences and trends. Visualises data with various figures and tables. Is able to interpret and report the results.

Analyses and interprets independently correlations, differences and trends. Selects and creates suitable graphical presentations to visualise data. Is able to interpret and assess the results and give suggestions for development.