Top 10 Data Analytics Courses In Finland With Placements

September 21, 2025|

Vanthana Baburao|

Data Analytics, Courses|

Following the rise of digitalization, many services provided to consumers and businesses have been available online and may be accessed via computers or mobile devices. This gives businesses a wealth of user-generated data, which they can utilize to improve their services and operations. Modern corporate development and decision-making place a premium on the importance of data and the insights it yields. Data analytics enables businesses to analyze vast volumes of data to uncover connections and answers to questions that aid decision-making, such as what happened, why it happened, what could happen in the future, and what procedures the organization should implement to address any difficulties. It is needless to say that data analytics is an extremely lucrative career. In this article, we are going to cover what is required to become a data analyst and the ten top data analytics courses in Finland.

Who Is A Data Analyst?

Data analysts use logic, statistical approaches, and computer programming to translate numbers into information that a company may use to boost its workflow and business operations. Data analysts employ several methodologies to examine statistical data and identify relevant information, and they contribute to the production of crucial insights and plans for the organization’s performance.

Suppose there is enough data and the data is correct. In that case, businesses can be confident that their decisions are based on valid and relevant data rather than individual people’s prejudices or potential misconceptions. This kind of decision-making gives a clear competitive advantage today and in the future.

Data analysts can work in a range of industries, including finance and health care, government, manufacturing, and education — in other words, any organization that structures its operations around data.

Regardless of industry, they help firms make strategic decisions by collecting and cleaning data before displaying their findings. They work together with business and engineering teams and can discuss their findings with numerous departments.

Common Challenges for Data Analysts

Data analysts frequently face several issues in their professions, some of which are listed below.

Time Constraints and Data Volume

One of the most critical challenges that data analysts face is time constraints. Data analysis can be time-consuming, especially when working with large amounts of data. Furthermore, the data used affects the quality and validity of the results. To streamline data analyst activities and responsibilities, it is vital to ensure that every relevant detail is analyzed.

Managing Expectations

As data analysts, it is important to have a clear understanding of not only what the stakeholders will expect, but also to be aware of the data restrictions. On the other hand, this makes way for making hard calls such as speaking about information limitation or focusing on what is important at the moment.

Poor data quality

If the data quality is inadequate, the outcomes may be wrong as the conclusions may be drawn from faulty results. Overall, analysts must be competent with the data they handle, preventing mistakes in the way they collect or store the data. The reliability of data would then be based on the accuracy of the data analysis and cleansing process.

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Keeping Up with Technology

Disruptive technologies from the field of big data might progressively displace data analyst positions. Hence, data analysts should always keep themselves abreast of new inventions and trends. Continuous technology innovations with cloud computing, machine learning, and artificial intelligence will ensure our resilience and our ability to detect the most meaningful data information.

A major job function and the task of data analysts are tech-savvy data-related skills and presentation of conclusions to stakeholders. In order to be considered for any type of data analyst position, one needs to walk through the limits and constraints of choosing a data analysis career. Therefore, they become more self-assured in addressing similar challenges. Also, one should be aware that with every career, certain problems may arise But, these challenges will be overcome by you through adequate training. If you are keen on learning data analytics, look into the data institutes in Finland.

Educational Qualifications to Become a Data Analyst

To be a data analyst, a couple of common educational credentials are required:

A bachelor’s degree in statistics, mathematics, economics, computer science, or a related field.
A Master’s degree in Data Science, Business Analytics, or a related field.
Upgrade your skills by enrolling in a certified data analytics training program in Finland. You must also have exceptional technical skills, which is why many people opt to take courses or programs that cover programming languages extensively.
Strong qualifications and technical expertise can assist you in becoming a successful data analyst and handling data analyst duties and responsibilities efficiently. However, it is crucial to remember that in addition to increasing your technical skills, you must focus on your analytical, communication, and interpersonal skills. Enrolling in one of the data analytics institutes in Finland can help you develop these skills.

Career Options for Data Analysts

Data analytics is not merely a lucrative field, but it also provides a diverse range of job prospects. Here are some job options after completing one of the data analytics courses in Finland.

Data Analyst

Data analysis deals with data from sales, logistics, market research, linguistics, and other areas of human behavior. Technical knowledge is required for data analysts to ensure the accuracy and integrity of all information. In addition, the data analyst is in charge of organizing and presenting details to others, as well as making effective business decisions.

Operations Analyst

One can work full-time as an Operations Analyst for a single company or as a consultant for multiple organizations. Operations analysts study a company’s processes. These steps include reporting systems, product manufacture and distribution, and various company functions. Candidates for this role should have a thorough awareness of both the businesses and the technological framework in which they will work.

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Marketing Analyst

This is a wonderful choice for someone who is just starting out in their field. Marketing Analysts collaborate with Digital Marketers to deliver information on their marketing operations and online/social media promotions. Marketing analysts generate findings based on particular discoveries from marketing data sets that other marketing professionals want.

Business Analyst or Senior Business Analyst

Business analysts collaborate with stakeholders to develop corporate objectives and data collection techniques. As the name implies, they do research on company trends and behaviors in order to implement changes that will yield favorable results. Other tasks include quality assurance, defining reporting and alerting needs, and taking ownership of the system processes. In addition to these responsibilities, they must provide significant insights to product teams.

Business intelligence analyst (BI)

BI analysts will assist businesses in maximizing the impact of data by identifying patterns and opportunities for growth. They also identify difficulties and opportunities for the company’s overall development and manufacturing expansion. They perform many functions, including appraising data landscapes, analyzing and verifying multiple data sources, and generating collections.

Business Intelligence Engineer

BI Engineers work alongside multiple BI developers and analysts. Those responsibilities are quite a bit like those of a business intelligence analyst. The key task is to ensure that the data can be evaluated by business analysts. In addition, they create and develop business intelligence systems.
Now that we’ve covered all of the employment options for a data analyst, let’s look at some of the data analytics institutes in Finland.

Check These Very Popular Data Analytics Courses Near You:

List Of Top 10 Data Analytics Courses In Finland

COURSE	FEES	DURATION
IIM SKILLS	€ 560 + 18% GST	6 months + 2 months internship
University of Turku	€ 12,000/ per year	2 years
JAMK University	€ 10,000 /per year	2 years
Oulu University	€ 12,000	1 year
University of Helsinki	€ 15 000/ per year	2 years
Arcada Institute	€ 11 000	1 year
Aalto University	€ 350 + tax	4 weeks
GOOGLE DATA ANALYTICS CERTIFICATE	€ 42/ per month	3-6 months
IBM DATA SCIENCE PROFESSIONAL CERTIFICATE	€ 116/ per month	1-6 months
LINKEDIN LEARNING	€ 32/ per month	Self-paced

1. IIM SKILLS

IIM SKILLS offers intensive six-month online Data Analytics Courses in Finland, as well as an optional two-month unpaid internship program to assist you obtain practical experience. It is one of the top-rated IT companies, offering a variety of training programs and finance-related courses.

Module Name	Important Topic
Module 1: Basic and Advance Excel	Introduction to Data Handling
	Data Manipulation Using Functions
	Data Analysis and Reporting
	Data Visualization in Excel
	Overview of Dashboards

Module 2: Visual Basic Application	Introducing VBA
	How VBA Works with Excel
	Key Components of Programming Language
	Programming Constructs in VBA
	Functions & Procedures in VBA
	Objects & Memory Management in VBA
	Error Handling
	Controlling Accessibility of Your Code
	Communicating with Your Users

Module 3: SQL	Basics RDBMS Concepts
	Utilizing the Object Explorer
	Data Based Objects Creation (DDL Commands)
	Data Manipulation (DML Commands)
	Accessing Data from Multiple Tables Using SELECT
	Optimizing Your Work

Module 3.1: SQL Server Reporting Services	Basics of SSRS
	Creating Parameters
	Understanding Visualization
	Creating Visualization Using SSRS

Module 3.2: SQL Server Integration Services	Understanding Basics of SSIS
	Understanding Packages
	Creating Packages to Integrate
	Creating Project Using SSIS

Module 4: Power BI	Introduction
	Data Preparation and Modeling
	Data Analysis Expressions (DAX)
	Reports Development (Visuals in Power BI)

Module 5: Data Analytics Using Python	Introduction to Basic Statistics
	Introduction to Mathematical Foundations
	Introduction to Analytics & Data Science
	Python Essentials (Core)
	Operations with NumPy (Numerical Python)
	Overview of Pandas
	Cleansing Data with Python
	Data Analysis Using Python
	Data Visualization with Python
	Statistical Methods & Hypothesis Testing

Module 6: Tableau	Getting Started
	Data Handling & Summaries
	Reports Development (Visuals in Tableau)

Module 7: R For Data Science	Data Importing/Exporting
	Data Manipulation
	Data Analysis
	Using R with Databases
	Data Visualization with R
	Introduction to Statistics
	Linear Regression: Solving Regression Problems

Module 8: Alteryx	Overview of the Alteryx Course and Fundamental Concepts
	Using the Select Tool to Rename Fields, Change the Data Type
	Understanding the User Environment and Alteryx Settings
	Filtering Data/Data Processing
	Blending/Joining Data from Different Sources
	Data Cleansing
	Impute Values
	Random Sample

They offer flexible learning hours without jeopardizing your work or personal responsibilities. This data analytics training program in Finland covers Excel, Python, Power BI, Tableau, SQL, Alteryx, and R and is divided into eight parts.

They also offer you lifetime access to instructional materials and free trial classes, as well as 24/7 assistance and career guidance.

CONTACT DETAILS

+919580740740

info@iimskills.com

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2. University of Turku

The University of Turku offers varied and high-quality ICT education in specific subjects including data analytics courses in Finland. They have a recognized reputation for innovative interdisciplinary and international teaching.

Their data analytics training program in Finland prepares professionals for the effective use and transmission of data in research, making decisions, and society. The primary goal of instruction is to comprehend and implement the operational concepts of the most important data analysis methodologies in practice.

Teaching is linked to the Department of Computing’s current research subjects, which range from medical technology to computational humanities, language technology, and intelligent systems.

Their research activities and collaborations with applied research disciplines, industry, and public actors allow for a diverse in-depth variety of courses and theses.

COURSE CURRICULUM

Data Analytics
Data Analysis and Knowledge Discovery
Machine Learning and Pattern Recognition
Statistical Data Analysis
Evaluation of Machine Learning Methods
Deep Learning
Knowledge and Innovation Management

CONTACT DETAILS

Phone Number: +358 2 33351

Website- https://www.utu.fi/en

3. JAMK University

JAMK University of Applied Sciences is offering data analytics courses in Finland. These courses will help you understand the potential of data analytics and artificial intelligence, their uses, the significance of data quality, and the ethics of artificial intelligence.

You will recognize how to plan, create, and execute data analytics and artificial intelligence to address the project’s different real-world difficulties. The knowledge and skills to utilize the methodologies for the appropriate data in real-world settings.

Through this training program in Finland, you will be able to continue learning professionally, make decisions, and communicate successfully as part of an international team.

Courses Curriculum

Modern Management of IT
Data Analytics
Machine Learning
Deep Learning and Neural Networks
Artificial Intelligence

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4. Oulu University

Oulu University’s data analytics courses in Finland are a two-year international program that combines theoretical knowledge with practical skills in data-driven analytics. Studies uniquely mix business and technology, and depending on your study path, you could work as a business analyst, information analyst, or data engineer.

This data analytics training program in Finland will help you understand the needs of businesses, industries, and governments when it comes to obtaining, analyzing, and utilizing digital data for decision-making, operations, and development.

Be able to select and apply suitable analytics theories and approaches, as well as get expertise using tools and settings to solve real-world analytics challenges. Be able to look for, gather, and create research data, as well as prepare research reports based on empirical findings in multi-disciplinary contexts.

COURSE CURRICULUM

The course curriculum can be requested by the department of the university.

CONTACT DETAILS

Email- id- study.itee@oulu.fi

Website- https://www.oulu.fi/

5. University of Helsinki

The interdisciplinary data analytics courses in Finland by the University of Helsinki prepare you to work in data-intensive industries and sciences, equipping you with the skills and knowledge required to solve difficult data analysis challenges.

You can specialize in either the fundamentals of data science (machine learning and algorithms, infrastructure, and statistics) or its applications.

This implies that you can either focus on developing new data science models and approaches, which will be supported by data science research at the University of Helsinki, or you may become a data science expert in an application field by integrating studies in another discipline.

COURSE CURRICULUM

Introduction to Data Science
Machine Learning
Statistics
Engineering of Machine Learning Systems
Data Science Project
Computer Vision
Network Analysis
Advanced Bayesian Inference
Bayesian Data Analysis
Computational Statistics
Data Engineering
Big Data Platforms
Computational Methods
Data Warehousing and Business Intelligence
Distributed Systems
Programming Parallel Computers
Software Architectures
Probabilistic Cognitive Modelling
Human-Computer Interaction
Information Retrieval
Interactive Data Visualization
Machine Translation
Models and Algorithms in NLP
Sustainability in Computer and Data Sciences

CONTACT DETAILS

Phone Number- +358 (0) 2941 911

Website- https://www.helsinki.fi/

6. Arcada Institute

Big Data Analytics provides an in-depth grasp of how to use data to generate insights. These data analytics courses in Finland are designed to help you quickly get a thorough understanding of the fundamental ideas of big data analytics, including descriptive and predictive modeling, as well as the creation of machine learning algorithms.

This data analytics training program in Finland highlights the need to understand how to create analytical solutions using production-level code. The curriculum is designed for people with prior programming and software development skills, as well as two years of relevant work experience.

Big data analytics requires a comprehensive method of renewal in businesses – to understand how to make efficient use of machine learning.

Course Curriculum

Programming for analytical services
Data Analytics
Machine learning
Data Engineering
Data visualization
Descriptive data mining
Predictive forecasting
Decision automation
Planning and development of analytical solutions
Analytics value creation

CONTACT DETAILS

Phone Number- 0294 282 549

Email- ID- admissions@arcada.fi

7. Aalto University

Through Aalto University’s data analytics courses in Finland, you will be able to understand the importance of data in decision-making and everyday life. This online course helps managers and specialists make decisions, as well as case studies and situations for further reflection. It also teaches the user the principles of data and analytics and how to apply them in decision-making.

The course is structured into two learning tracks, with separate portions for data strategy and analytics. Each module covers a variety of topics to provide the user with a thorough introduction to the field. The course videos and reading materials are complimented by interactive questions to test your understanding along the way.

COURSE CURRICULUM

Data strategy
Big data
Data Sharing
Data governance and data quality management
Data and analytics culture
Field definitions of analytics and machine learning
Typical case scenarios in analytics
Models, accuracy, and generalization
Case examples

CONTACT DETAILS

Phone Number- +358 10 837 3700

Email- id- info@aaltoee.fi

8. GOOGLE DATA ANALYTICS CERTIFICATE

Another option for data analytics institutes in Finland is Google’s data analytics certification. This certificate will help you obtain a thorough understanding of the procedures and processes used by a junior or associate data analyst on a regular basis.

This covers analytical skills like data cleansing, analysis, and visualization, as well as technologies such as spreadsheets, SQL, R programming, and Tableau.

These data analytics courses in Finland will teach you how to clean and organize data for analysis, in addition to how to do analyses and computations with spreadsheets, SQL, and R programming.

Finally, discover how to display and communicate data insights using dashboards, presentations, and other commonly used visualization platforms.

COURSE CURRICULUM

Foundations
Make Data-Driven Decisions
Prepare Data for Exploration
Process Data
Analyze Data
Share Data Through Visualization
Data Analysis with R Programming
Case Study

CONTACT DETAILS

Website- https://grow.google/intl/en_in/data-analytics-course/

9. IBM DATA SCIENCE PROFESSIONAL CERTIFICATE

If you do not intend to enroll in data analytics institutes in Finland, you can still do an online course. The IBM Data Science Professional Certificate is an additional option for data analytics courses in Finland. After completing this Professional Certificate program, you will have the skills and knowledge to start a career in data science and machine learning.

You will be able to build a portfolio using real data science tools, practical difficulties, and data sets, in addition to hands-on projects and excellent tutorials. The curriculum will cover a wide range of data science topics, including open-source tools, Python, databases, SQL, data visualization, analytics, and machine learning. This program does not require any prior knowledge of computer science or programming.

Data Analytics Courses in Finland Curriculum

Data Science Orientation
Tools for Data Science
Data Science Methodology
Python for Data Science and AI
Databases and SQL for Data Science
Data Visualization
Machine Learning
Applied Data Science Capstone

CONTACT DETAILS

Website- https://www.ibm.com/training/badge/data-science-professional-certificate

10. LinkedIn Learning

Many people communicate through LinkedIn, a popular professional networking tool. It also provides data analytics courses in Finland. The primary purpose of building LinkedIn is to create economic opportunities for all people working in various organizations.

It was designed to help professionals connect with one another, become more effective, and collaborate to build a better society. LinkedIn offers classes to assist people advance their careers. “Become a Data Analyst” is a curriculum aimed at aspiring professionals.

The purpose of this data analytics training program in Finland is to help individuals develop company strategies and obtain insights using data analysis technologies.

Data Analytics Courses in Finland Curriculum

Introduction
Exercise file usage
Introduction to Data Analysis
Fundamentals of Data Understanding
Basic Elements when Starting with Data Analysis
Data Project
Importing and Exporting of data
Data Cleaning and Modeling
Applying Common Techniques

CONTACT DETAILS

Website- https://www.linkedin.com/learning/

Frequently Asked Questions

Does data analytics require coding?

Data analysts must be proficient in computer languages such as SQL, R, and Python. Analysts use these coding languages to optimize tasks including statistical analysis, data mining, and presentation. Including a coding language or more on your resume will surely increase your career prospects.

Which opportunities are available if you are skilled in data analysis?

Professionals with data analysis skills can pursue a variety of work opportunities, including data analyst, database administrator, systems analyst, business intelligence, digital marketer, data scientist, and financial analyst. Studying data analytics courses in Finland will result in a variety of professional opportunities. People with data analysis skills can readily find work in a wide range of organizations and industries because today’s corporate environment is data-driven.

What is the purpose of data analysis?

Data analytics helps individuals and businesses make sense of data. Data analysts frequently investigate raw data for patterns and insights. They help firms make decisions and succeed by utilizing a variety of tools and methodologies.

Conclusion

As described in this article, data analytics is an extremely lucrative profession with numerous opportunities and roles. However, to truly benefit from this, you must have the necessary skill set. Completing a course at one of the data analytics institutes in Finland will give you the expertise and information you need to flourish in the competitive world of data analytics. IIM SKILLS’ course, which includes a two-month internship, could be just what you need to get started. It will also give you the hands-on experience that you need. We hope this list helps you select which data analytics courses in Finland are best for you.

Vanthana Baburao

Currently serving as Vice President of the Data Analytics Department at IIM SKILLS, I bring a unique combination of corporate and academic expertise. With over two years as a visiting...

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