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Top 10 Data Analytics Courses In Sweden With Placements

Welcome to the gateway of data-driven excellence in Sweden! If you are looking to enhance your data analytical skills, Sweden offers a wide variety of top-notch courses tailored to meet your needs. We have curated the best list of the top 10 data analytics courses in Sweden, each of which is designed to give you the brilliant experience necessary to excel in this field. Join us as we embark into the details of the top 10 courses of data analytics in today’s rapidly growing and evolving digital world of this modern world.



Before we begin with the best data analytics courses in Sweden, let us have a small briefing on big data and data analytics.


Why Take Big Data and Data Analytics?

Data is emerging as the world’s newest resource for competitive advantage among nations, organizations, and businesses. The concept of Big Data is quite an old thing. It dates back to 2000 When it was described in terms of its huge volume, the extremely high velocity with which it is created and the diversity of sources that create and share this data.



Students Learn Many Benefits:

  • Encourage Innovation and Decision-making

It eliminates guesswork and manual tasks. Be it choosing the right content, planning marketing campaigns, or developing new products. Organizations or companies can use the strategies acquired from data analytics to make good decisions. Thus, leading to better outcomes and satisfaction of the customer.

  • Increases the Efficiency

Data analysis can improve the effectiveness of simulations to know future risks and make better planning.

  • Effective Marketing

Data analytics gives you valuable solutions to how your campaigns are performing.

Explore more about the in-demand:


Top 10 Data Analytics Courses In Sweden With Placements



IIM SKILLS is the world’s fastest-growing Ed-Tech company. It is one of the most renowned Ed-Tech offering courses in the online industry. With their headquarters located in New Delhi, India. IIM SKILLS has its hubs in 23 cities in Asia including Dubai, and Singapore offering various courses with an easy-going curriculum in educational fields. Their ties with Meta, Google, and other enterprises from India also boost job opportunities. IIM SKILLS has valid recognition from delegated bodies.

Course Details:

Name:  Data Analytics Course

Duration: 6 Months Of Training + 2 Months Internship (optional)

EMI: Interest Free

Certification: Yes

Fees- 6419.99 Swedish Krona + Taxes

The Data Analytics Curriculum Offers:

  1. Basic and Advanced Excel
  • Introduction to Data Handling
  • Data Visualization
  • Data Manipulation ● Data Analysis and Reporting ● Overview of Dashboards
  1. Data Analytics using VBA
  • Introducing VBA
  • Programming constructs in VBA
  • Key components of programming language
  • How VBA works in Excel
  • Objects and memory in VBA
  • Functions and procedures in VBA Modularising your programs ● Communicating with your users
  1. Data Analytics using SQL
  • Basics RDBMS concepts
  • Utilizing the Object Explorer
  • Data-based object creation (DDL commands)
  • Data Manipulation (DML commands)
  • SQL server reporting services
  • SQL server integration services
  1. Data Analytics Using Python
  • Introduction to basic statistics
  • Introduction to Mathematical Foundations
  • Introduction to analytics and data science
  • Python Essentials (Core)
  • Operations with NumPy (Numerical Python)
  • Overview of Pandas
  • Cleansing data with Python
  • Data analysis using Python
  • Basic visualization tools
  • Visualising Geospatial Data
  • Data Visualization with Python
  • Advanced visualization tools
  • Statistical Methods and hypothesis testing
  1. Data Analytics Using Power BI
  • Introducing Power BI
  • Data preparation and modeling
  • Data analysis expressions (DAX)
  • Reports development (Visuals in Power BI)
  1. Data Analytics Using Tableau
  • Getting Started
  • Data handling and summary
  • Data handling and summary 2
  • Building advanced Reports/ Maps
  • Table calculations
  • Calculated field
  1. R for Data Science
  • Data importing/ exporting
  • Data manipulation
  • Data manipulation 2
  • Data analysis
  • Data visualization with R
  • Using R with database
  • Introduction to statistics
  • Linear regression: solving regression problems
  • Testing
  1. Data Analysis using Alteryx
  • General Overview of the course with fundamental concepts
  • Using the select tool for renaming fields and changing the data type
  • Understanding the user environment and Alteryx settings
  • Remove the data set
  • Connect to the data source
  • Alteryx designer interface
  • Set data field types
  • User and workflow settings
  • Remove and Rename fields
  • Filtering data/ Data processing
  • S blending/ Join data from different sources
  • Filtering using String data
  • Finding customers with 10 or more than10 transaction histories
  • Transpose, dynamic rename, and input data, and text to columns ● Identify common data fields
  • See how all records fit the filter
  • Data cleansing
  • Input values
  • Random sample

Eligibility Criteria for Individuals Such as:

⮚ Fresh Graduates

⮚ IT Professionals

⮚ Sales Professionals

⮚ Banking and Finance Professionals

⮚ UG/PG Students

⮚ Supply Chain Network Managers

⮚ Marketing Managers

Benefits and Highlights of Taking course at IIM SKILLS:

▪ Trained by Industry Experts

▪ Career Empowerment

▪ Internship Opportunities

▪ Certification of completion from IIM SKILLS

▪ Window for Placement

▪ 100+ Hours of practical assignment

▪ 160 hours of live teaching/ lectures

▪ 16 hands-on projects

List of other Professional Courses from IIM SKILLS


Contact Details:

Contact: +91 9580 740 740

Email: [email protected]

Website: www.iimskills.com

Look no further to find the Advanced:


2. Lund University

Lund University’s Data Analytics and Business Intelligence course focuses on giving the best and most profound knowledge and skills to students needed to extract insights from data to drive business and decision-making. The course curriculum offers a variety of topics, including data analysis techniques, business intelligence tools, and analytics.

Students learn how to gain competitive knowledge to solve complicated business problems through lecturers, study material, and practical exercises. The Programme is multidisciplinary and is designed to solve business problems by integrating statistics, informatics, and law.

As a student, you will learn how to manage data, use statistical tools, write your computer code, and incorporate results obtained into strategic decision-making You will develop good communication and collaborative skills through good supervision.

The Curriculum of the Course

Semester One Includes:

  • Introduction to Programming
  • Legal Aspects of Data Analytics
  • Data Visualization
  • Machine Learning from a Regressive Perspective
  • Working with Databases
  • Advanced Machine Learning

Semester Two Includes:

  • Degree Project

Fee Structure:

135.000 SEK/ per year           10,50,684 INR/ per year

Location and Contact:

Tycho Brahe vag 1, 223 63 Lund

+46 46 222 00 00

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3. KTH Royal Institute of Technology

The machine learning and Data Analytics course at KTH Royal Institute of Technology offers students an exclusive one-year journey into the world of data analytics. The curriculum provides students with a solid increased efficiency and productivity, competitive edge, analysis of algorithms, and much more by studying cases and lectures offered by professionals in this institute, with given career opportunities.

The program provides hands-on rigorous training through seminars labs and self-studies. With the right guidance, a student here will excel in acquiring a deeper knowledge of data analytics.

Duration: 1 year (full-time)

Location and Contact:

Brinellvagen 8, 114 28

Stockholm University

+46 8 790 60 00


4. Uppsala University

Data Analysis at Uppsala University offers students an in-depth understanding of the statistical foundations of data analysis and learning methodologies applied to complex business objectives. Furthermore, they will gain skills to manage data analytics projects through effective communication management skills.

Suitable for recent graduates and for those looking to restart careers, Data analytics provides an ideal pathway for those aspiring to further their careers in data analytics. We welcome learners from any part of the world and all backgrounds, for those who are committed to learning.

This mindful skill set enables them to communicate effectively. We shape their way towards the landscape of the modern world.

Learning Outcomes:

During Data Analytics courses, students learn to identify and discuss ethical issues concerning data analytics. Through programming create new strategies for basic analysis and visualization of data.

The Career Opportunities One Can Avail by Taking Data Analytics Courses in Uppsala University Are:

  • Data Analyst
  • Data Engineer
  • Risk Analyst
  • Marketing Analyst Manager
  • Data Scientist
  • Quantitative Analyst
  • Business Analyst
  • Data Governance Analyst

Duration and Fee Structure:

1.5 years (full-time)

130.750 SEK/ year             10,72,795 INR/ year

Location and Contact:

753 10, Uppsala, Sweden

+46 18 471 0 00

[email protected]

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5. Linkoping University

The Big Data Analytics Course at Linkoping University offers a curriculum that includes Hadoop, Spark, and databases. The course is to provide students with deeper knowledge to understand better.

They will learn how to interpret data to identify patterns, using statistical tools, to provide insights that can be used to improve business processes and operate decision-making. The thought is to build diverse knowledge and experience factors in innovative thinking for the students.

In particular, organizations are searching for analytically talented individuals with statistical and programming skills. These Data Analytics courses in Sweden aim to meet this demand in the labour market.

Location and Contact:

SE-581 83 Linkoping


+46 13 281000

[email protected]


6.  University of Gothenburg

Data Analytics courses in Sweden offered at the University of Gothenburg have become a hub for data analytics excellence. No prior experience is required, making this course accessible to aspiring analysts from various diverse backgrounds. Upon successful completion, you will receive a prestigious certification that validates your expertise, enhancing your employability in business sectors and beyond.

Through a combination of theoretical learning and practical knowledge skills, students will innovatively learn and thrive around the power to drive value in various sectors. Whether contributing to data-driven decision-making in corporate settings or understanding entrepreneur ventures, Gothenburg University is poised to make a significant impact on students.

Course Structure of the Program:

  • Applied Mathematical Thinking
  • Applied Machine learning
  • Introduction to Data Science and Data Analytics
  • Understanding of Python in Data Science and Data Analytics
  • Computational techniques for large volumes of data
  • Master’s thesis in Data Science and Data Analytics

Eligibility Criteria:

To pursue data analytics courses in Sweden, students with a Bachelor’s or master’s degree in fields such as Mathematics, Statistics, Economics, and Computer Science are eligible to apply for the master’s program in applied data science.

Duration: One Year (Full-time)

Location and Contact:

Universitetsplatsen 1, 405 30

Goteborg Sweden

+46 31 786 00 00


7. Karlstad University

At Karlstad University, the Data Analytics course offers students equipping students with essential skills and knowledge in the field of data analytics. Pursuing data analytics courses in Sweden, Students learn real-world case studies and examples are incorporated into the curriculum to provide how data analytics is applied in business aspects.

Personal guidance along with labs, seminars, and exercises conducted by the faculty members who are experts in this field will support students to learn thoroughly. The course at Karlstad University is designed in such a way to meet the demanding growth of data professionals in the tech world of this society. Our University provides students with career opportunities and can pursue roles such as data analyst, data researcher, etc.

Duration: One year (full-time)

Location and Contact:

Universitetsgatan 2, 651 88 Karlstad

+46 54-700 10 00

[email protected]


8. Stockholm University

Established in 1878, Stockholm University is one of the prestigious universities. The Data Analytics Program at Stockholm University offers a Data Analytics course to enhance students’ in-depth knowledge and understanding of information regarding businesses and organizing their operations as revenue margins and needs.

Students here benefit from interactions, technical proficiency, and practical experiences. Given the practical projects, industry insights, and skilled professional help provided by our lecturers, the students get a comprehensive education in data analytics. Students emerge as skilled data professionals ready to create value in diverse organizations and industries. Students will be gaining certificates and the university offers placement opportunities in corporate and business fields

It is a one-year master’s course divided into 4 semesters with a detailed program curriculum with the best statistics in Big Data and Data Analytics and is one of the best data analytics courses in Sweden.

Semester One:

  • Foundations of Data Science
  • Decision Analysis Part one
  • Statistics and Data Analysis for Computer and Systems Sciences

Semester Two:

  • Data Mining
  • Decision Analysis Part two
  • Statistical theory and modeling
  • Machine Learning

Semester Three:

  • Risk Analysis
  • Bayesian Learning
  • Reinforcement Learning
  • Business Analytics

Semester Four:

  • Master Thesis

Duration and Fee Structure:

1 year course

90.000- 140.000 SEK               7,01,165- 10,90,371 INR

Location and Contact:

Frescativagen, 114 19 Stockholm, Sweden

+46 8 16 20 00

[email protected]


9. Data Analytics Course at Orebro University

Our course here at Orebro University offers to make students explore the techniques of data characteristics and algorithms. Pursuing these data analytics courses in Sweden, makes the students frame their minds to dive deep into decoding any complex code with ease.

Opportunities for internships and placements to gain experience in data analytics roles. Multivariate technique analysis and a much wider range of learning are provided in this course. The curriculum of this course gives a broad spectrum into the world of business and data analysis.

Our course offers online recording of classes for the easy accessibility and comfort of the student. Through theoretical training, many career opportunities are provided. Hands-on teaching given by the mentors and supervisors shapes the learning of the students.

The program is focused on the analysis of data with a foundation in statistical theory and gives a student needed tools to find patterns in large and difficult data sets, or for more accurate statistical modelling to identify casual relationships.

As the only university in Sweden- and one of only two universities in the Nordic countries, for official statistics and big data analytics Orebro University has been awarded the European Master in Official Statistics (EMOS) label by Eurostat, Hence it is one of the best universities to pursue Data Analytics courses in Sweden

The course includes a 15-credit internship course at an agency in the data and statistics field. The internship and the important course work in the EMOS options provide students with the qualifications needed for a career in statistics data analytics courses in Sweden or internationally.

Duration and Course Curriculum:

To pursue these Data Analytics courses in Sweden, the program is for two years duration and leads to a master’s degree (2 years) but there is also an option to exit after one year with a master’s degree (1 year). The course is segregated into 4 semesters each of which consists of 30 ECTS credits on course.

Semester One:

  • Data Visualization
  • Programming in data languages such as R and Python
  • Database management
  • Courses in Mathematics
  • Probability Theory
  • Inference Theory

Semester Two:

  • Courses in econometrics
  • Computer- Intensive methods
  • First Thesis (15 ECTS credits)

Semester Three:

  • Machine learning
  • Bayesian statistics
  • Survey sampling theory
  • Additional optional courses (15 ECTS credits)

Semester Four:

  • Opportunity to do an internship
  • Second Thesis (15 ECTS credits)

Location and Contact:

Fakultetsgaten 1,

SE- 701 82, Orebro, Sweden

+46 19 30 30 00

[email protected]


10. Data Analytics Training at Jonkoping University

Taking up data analytics courses in Sweden, this program offers a flexible part-time format that allows students to balance their studies with their other commitments. Through a combination of online lectures, case studies, and projects, students gain knowledge to fulfil their roles in real life which will help boost their careers.

The students will learn step by step regarding business analytics, as the online course offers various post recordings of the lectures, If a class is missed can be accessed to understand the study materials. Students gain profound education and explore their curiosities over the course.

The program is offered in English and you study with people from different backgrounds and cultures from around the world, all with a common focus on a career in big data and data analytics. The teachers here have professional experience and a wide network of contacts, internationally within academics and with employers in Sweden.

The training emphasizes the ability to communicate and collaborate, so the students can identify the organization’s information needs and the prerequisites for the analytical survey or data analysis, to be able to communicate the selected approaches and results by choosing to study these data analytics courses in Sweden..

It is a Two-year Course With the Below Course Syllabus:

First-year Includes:

  • Advanced Mathematics for Economics
  • Advanced Microeconomics
  • Advanced Macroeconomics
  • Applied Econometrics
  • Applied Economics for decision-making

Second-year Includes:

  • Predictive Analysis with Machine Learning
  • Programming and Big Data Analytics
  • Internship in Economics- Master Level
  • Master Thesis in Economics

Eligibility Criteria:

To pursue these data analytics courses in Sweden, the applicant must hold a bachelor’s degree (that is equivalent to 180 ECTS credits at an accredited university). The learning students must have at least 60 credits in Economics.

Location and Contact:

SE-581 83 Linkoping, Sweden

+46 13 281000

[email protected]



Q)  Can these courses be taken online?

For working professionals or those who are unable to attend in-person classes some of these institutions offer online or hybrid options as per the flexibility.

Q)  How can I apply for these courses?

Individuals can visit the website of the institutions for specific applications or processes to enroll as it may differ with each institution.

Q) What career and job opportunities are available after completing these courses?

Roles as a data analyst, business analyst, scientist, and many more wide range of opportunities are provided.

Q) Eligibility to take a data analytics course?

It varies to different institutions. However, a background in mathematics and computer science may help.



With beautiful alps and landscapes, and the breathtaking ecosystem of Sweden, come embark on a journey to enhance your analytical skills and thrive in the field of Data Analytics. Get all the expertise required to learn and nourish in this modern world.

From basic concepts to advanced techniques, these programs will give you the height to reach success. Choose a program that aligns with your requirements for your journey towards new learning. Challenging your brain to think analytically and find solutions that are helpful in professional life.

The scope of our university is to provide necessary education on how to interpret complex problems and bring out solutions. With so many organizations looking to capitalize on data analysis to improve their processes, hence it’s a great source to start a career in this field. Students get an opportunity to leverage insight from data analytics.

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