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Top 10 Data Analytics Courses In Sweden With Placements

Data Analytics has created a burgeoning impact on industries, and businesses globally relying on which they are drawing significant insights to deepen their understanding of future trends in data analysis prediction, visualizing their findings in the form of graphs, charts, and dashboards, designing new processes and techniques for data structuring and modeling, devising algorithms and envisaging predictive models for better monitoring and information. It has created an exponential increase in the need for data analytical models developed by skilled and learned professionals working in this domain of research and data analysis. Therefore, it has become imperative for professionals to adapt and cultivate methodical skills for staying pertinent and assisting industries in unraveling their quest for effective data transformation. Most of the data analytics courses in Sweden are keen on devising professional training and programs to make beginners and experts more proficient in the domain of data science and analytics.


Hence we will explore the various data analytics institutes in Sweden in this article and learn about the course structure, their eligibility criteria, how subjects of economics and statistics are involved in this, and their prospects.

Data Analytics and Its Various Techniques

The term ‘Data Analytics’ is a process of collection of large sets of freely available raw data, analyzing, segregating, and helping to transform them into processed and more usable forms aiding businesses, and industries to optimize their performance output for profit maximization and enhancing their capability to make more strategic decisions.

It helps in getting better insights on patterns and future trends prediction for example in the social media domain, most content marketing companies are dependent on the analysis of vast data and getting hold of a pellucid understanding of their customer experience, improving their CTRs, analytics on how many views and clicks their content is receiving and re-organizing it accordingly for becoming more viewer-friendly.

Data Analytics has several analytical methods and techniques that have enabled it to cope better with data and information extraction and management.

Some of the Common Methods in Data Analytics Include:

Factor Analysis:

Factor Analysis is the statistical analytical technique that explains the correlations or covariance by reducing the volume of large data sets into smaller numbers to derive complex trends underlying those data. It deals with complex data structures and deriving their patterns.

Regression Analysis:

Regression Analysis is the data analytical technique that is based on the structure of relationships of two or more independent variables of data, their bond with a dependent set of data variables, and how the changes affect each other in the process.

Cohort Analysis:

Cohort Analysis is another form of data analytical technique that involves the segregation of large data sets into groups of smaller and similar data structures and analyzing their traits, and patterns having common characteristics.

Time Series Analysis:

Time series Analysis is the type of data analysis that involves analyzing data obtained at a specific time frame, tracking the performance of the chosen data at regular intervals of time, and drawing their pattern inferences.

Have A Look at These Very Popular Data Analytics Courses in Your Location:

Top 10 Data Analytics Courses in Sweden With Placements


IIM SKILLS is a premier and renowned online educational platform providing professional certificate courses in various learning modules and a trusted knowledge platform imparting quality education.

Named as one of the best data analytics courses in Sweden, it incorporates a detailed curriculum to obtain knowledge on the fundamentals of data analytics led by industry expert faculty and has tie-ups with top companies.

Course Details:

Name:  Data Analytics Course

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

Fees: 6320.65 Swedish Krona + Taxes

EMI: Interest Free

Certification: Yes

Mode of Learning: Online

Modules Covered:

Module NameImportant 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
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

The course is structured as per standards led by tech giants like Microsoft, and Google and comes with certification by MSME. It is a 6-month duration course of 180 hours of lecture sessions in flexible weekend batches for working professionals along with a 2-month internship program with companies like TCS, PWC, Accenture, etc.

On successful completion, IIM SKILLS provides master certification in Data Analytics which is recognized by 500+ hiring companies serving as a great opportunity for professionals and students to pursue careers in data analysis and data science. The course includes practical experience in data analytical tools like :

  • Alteryx
  • Excel
  • Power Business Intelligence(BI)
  • SQL
  • Tableau

IIM SKILLS course on data analytics incorporates theoretical and practical study and has industry-relevant case studies to gain a better understanding. The course is designed for candidates belonging from domains like :

  • IT professionals
  • Banking and Financial services and industry
  • Undergraduate/ Post graduates
  • Marketing Managers


Batch details:  Every weekend – 10 am to 1 pm

Contact info: 91-9580740740

A Few More Best Data Analytics Courses:

 2. Lund University:

Lund University one of the reputed public research universities in Sweden has some of the renowned faculties imparting excellence in its learning through various courses and study programs.

Established in 1666, the university is known to offer a master’s program in Data Analytics and Business Economics which is one of the best data analytics courses in Sweden.

The course includes a detailed curriculum about data analysis, how to work with figures and draw effective conclusions highlighting the role of data analytics in the digital economy using statistical tools to infer data patterns and trends for better decision-making.

The course is of 1-year duration with a total of 60 credit points divided into two semesters of 30 credit points each. The course syllabus consists of :

Semester 1:

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

Semester 2:

  • Master Essay ( degree project )

Learning outcomes: The course will aid in solidifying the understanding of empirical data work and statistical analysis and its application in drawing economical conclusions and deepen the understanding of Machine Learning concepts.


3. Stockholm University:

Established in 1878, Stockholm University is a renowned public research university situated in Stockholm, Sweden incorporating different faculties from humanities to natural sciences offering both undergraduate and advanced level courses with an overall 190 estimated study programs.

It is offering a master’s program in data science, statistics, and decision analysis in collaboration with the department of statistics emphasizing the importance of data mining, data storage, and their processing through automation and digitization making it one of the best data analytics institutes in Sweden.

It is a 1-year master’s program segregated into 4 semesters with detailed modules on methods and algorithms in data analysis, deep-learning techniques, descriptive statistics, and R programming and is one of the best data analytics courses in Sweden.

The Course Module Has the Following Module:

Semester 1:

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

Semester 2:

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

Semester 3:

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

Semester 4:

Master thesis ( 30 credit points )

Find Here the Top-ranked Data Analytics Courses:

4. Jonkoping University:

Jonkoping University is a top-ranked private university dedicated to imparting higher education and learning modules through its bachelor’s, master’s, and doctorate programs.  It provides different schools of study like education, communication, business, and engineering excelling in its pedagogical methods of learning.

It has a master of science program in applied economics and data analysis having an interdisciplinary learning method to enhance one’s ability to solve problems through economic data modules and is therefore one of the best data analytics courses in Sweden.

The course is of 2 years duration including theories of micro and macroeconomics, mathematics, and practical tools for real-world problem-solving with a total of 120 credit points.

The Course Syllabus is Structured as:


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

Second Year:

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

Eligibility Criteria:

The candidate must have a relevant bachelor’s degree and at least 60 credit points in Economics and 15 credit points in Mathematics or Statistics.

A Few More Top Data Analytics Courses That You Must Explore:

5. The University of Gothenburg:

The University of Gothenburg, a renowned Swedish university established in 1891, is one of the largest universities in the country offering wide-ranging learning programs and creative faculties offering training in Information Technology, Education, Business, Economics, and health sciences.

It offers an elaborate master’s program in applied data science focusing on the relevance and knowledge of big data in domains of businesses, industries, and social sciences with an overview of the tools and technologies used in data science and data analytical practices and is, therefore, one of the best data analytics courses in Sweden.

It is a 2 years duration study program with a total of 20 ECTS credit points provided by the Department of Computer Science and Engineering with the following core course structure:

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

Eligibility Criteria:

Candidates having a Bachelor’s or master’s degree in relevant fields of study including Information Technology, Mathematics, Statistics, Economics, and Computer Science are eligible to apply for the master’s program in applied data science.


6. Uppsala University:

Uppsala University, founded in 1477, is a public research university and the oldest university in Sweden offering learning courses in various disciplinary domains like humanities, social sciences, Science, and technology.

It provides a bachelor’s level course in data analytics sponsored by the Department of Informatics and Media describing the key concepts, and algorithms of data analytical techniques, preparing data for data wrangling and effective visualization of data, and is one of the best data analytics courses in Sweden.

The course is of 60 credit points in information systems including databases and addresses the theoretical key aspects of data analytics like Big data, Data Lakes, Machine Learning, and Data Visualization.

It also includes practical tools for data analysis, and laboratory exercises for problem-solving including lectures, seminars, and lab assignments. The various career options one can avail out of this course include:

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

7. Lulea University of Technology:

Lulea University of Technology is a renowned public research university founded in 1971 conducting over 100 educational programs in multiple domains making it one of the best data analytics institutes in Sweden.

It provides a comprehensive master’s program in data science assisting in the statistical and analytical skills development of the learner with a blended in-class and online learning option including business intelligence basics, advanced data mining, and data science programming techniques making it one of the best data analytics courses in Sweden.


The Course Consists of a Total of 60 Credit Points With the Following Detailed Module Curriculum:

Systems Science:

  • Thesis in Data Science
  • Business Intelligence
  • Data Visualization
  • Predictive Analysis

Computer Science and Engineering:

  • Advanced-Data Mining
  • Data Science Programming

 Information Technology:

Text Mining

 Selective Course:

Swedish for International Students.

Eligibility Criteria:

Candidates with an academic degree with at least 180 higher education credit points in Computer Science, System Science, Computer Engineering, Information System, or equivalent degree.

8. Udemy:

Udemy is a popular global online learning and certification platform with micro-specializations on various learning topics. Its short-term courses are increasingly gaining prominence especially its courses on data analytics which is one of the best data analytics courses in Sweden.

The courses have a detailed module on the principles of data analytics with fundamentals of programming languages like Python, Microsoft Power BI, Business Intelligence techniques, Machine Learning, SQL basics, and programming languages like R, etc.  Some of its popular courses on data science and analytics include:

Data Analysis With Pandas and Python-

The course includes learning and application of Python for data presentation, data visualization, and working on data formats like JSON, HTML, etc. It is a 19.5-hour on-demand video lecture on data operations like grouping, pivoting, and joining. It has an industry-accredited certification on successful completion which is recognised by various job platforms.

The Data Analyst Course: Complete Data Analyst Bootcamp –

This is also one of the top-ranked courses in data analytics incorporating special emphasis on data cleaning, d Python programming, NumPy application, and Pandas to be able to work with text files. It provides a capstone project to gain better practical experience in data analytics.

9. SkilloVilla:

SkilloVilla is a trusted online learning platform with certification courses consisting of various learning curricula and course specializations recognized by Forbes. It has introduced a certificate course in data analytics and statistics using Python which is one of the best data analytics courses in Sweden helping learners to develop problem-solving skills and devise solutions in a data-driven manner.

It is a 22-week duration program with 2 hours of lectures per day helping to gain essential skills like learning the concept of probability, descriptive statistics, inferential statistics, Numpy,  linear algebra, DAX, data importing, and data manipulation.


The Complete Course Syllabus Includes:

Excel: Beginner to Advanced:

Functions, Pivot tables, Ranges, LOOKUP, Data modeling, and cleaning techniques.

SQL: Beginner to Advanced:

SQL learning, Aggregation Functions, Join statements, Conditional Functions.

Structured Problem-solving and Case Studies:

Variability, probability, hypothesis, Innovation frameworks, and business funnels.

Data Visualization With Power BI:

Knowledge of DAX, connecting and transforming data, data modeling techniques, etc.

10. Coursera:

Coursera is the most popular global learning website and course provider with a trusted online educational forum providing professional certifications on diverse topics and serves as a great option to acquire knowledge on data analytics with a self-paced learning schedule.

It is a globally renowned platform where there is certification on almost every specialization that one is keen to acquire for career growth. It provides several data analytics courses in Sweden obtaining training from faculties around the globe and earning credentials for the same. The following are the best data analytics courses:

Introduction to Data Analytics:

This particular course expanding for 10 hours duration is one of the best data analytics courses with accreditation provided by IBM. The course module provides basic to advanced knowledge and comprehension of different types of data structures, data analytical processes and tools used, and sources of data making it one of the sought-after data analytics courses in Sweden.

Google Data Analytics Professional Certificate:

This course is one of the most comprehensive data analytics and data science courses in online platforms with a high enrolment percentage. It is of 6 to 10-hour study span a week with a flexible schedule and industry-relevant Google badge earning and certification on successful completion.

It covers data analytics concepts revolving around business communication, SQL learning, machine learning, and data visualization, data wrangling, data analytical tools, and techniques.


FAQs :

Below are the FAQs related to data analytics courses in Sweden.

Q. What industries have a high demand for data analytics professionals?

Data Analytics professionals are in high demand in various sectors mostly in banking and finance, the retail industry, digital marketing platforms, media and entertainment, etc.

Q. Why is data analytics important?

Data Analytics holds significant importance as its tools and techniques are helping organizations and industries to nurture a large availability of raw data and transform them into processed forms for better decision-making.

Q. Do the data analytics institutes in Sweden help in getting job opportunities?

Yes, data analytics institutes in Sweden help candidates to make a career in data analytics through the various data analytics courses in Sweden as Data Engineer, Data Scientist, Data Analyst, etc.

Q. What are the main phases of data analytics?

The different phases involved in data analytics include Descriptive Analytics, Diagnostic data analysis,  Predictive Analytics, and Prescriptive Analysis.


Thus, data analytics has systematically revolutionized how data is collected, monitored, transformed, and applied in various domains like businesses, industries assisting such firms to better manage their data structures, improve their decision-making capability, and equip them with the necessary demographics to land to profitable data-driven outcome for revenue generation.

As such, the data analytics institutes in Sweden have also improved their focus to cater to such market demand by assisting to build capable data analytics professionals who would work in such domain, showcase their skills, and help develop lucrative strategies for the growth of the industries. The data analytics courses in Sweden are aligned with this requirement and are increasingly gaining significance among professionals to enroll in such courses and pave a career path in data science and analysis.

Hello, myself Pallabi Shome. Formerly working as a banker for almost 3 years in branch banking operations, it has been my ardent love and passion for writing captivating and eccentric content catering to diverse range of readers that made me to leap into content writing domain. Currently, working as a content writer at IIM Skills which helped to provide a platform to hone and showcase my skills and indebted to the team for their guidance and support. My interests lay in copywriting, SEO –based articles, creative writing and blog posts.

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