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Top 10 Data Analytics Courses in Copenhagen

There are many good data analytics courses in Copenhagen with practical learning, career support, and 1:1 mentoring. Some even offer guaranteed internships and a chance to earn industry-recognized data analytics certifications such as those offered by Google, Microsoft, and IBM. As a data analyst, you will need to master many data analytics tools and techniques to be able to collect data, gather insights from it, and present the data visually to key business stakeholders to help them make decisions. You will also need good communication skills in your role, as you will be interacting with many people across different business functions. It is important to find a good data analytics course that can help you get started in learning all these skills.

List of best data analytics courses in Copenhagen

While applying for jobs, you will need to showcase all these skills to recruiters, who will test them through technical and behavioral interview rounds. You will also need a solid portfolio of data analytics projects to showcase to the recruiters.

Data analytics courses can help you prepare for this through mock interviews, career coaching sessions, and portfolio-building assistance. Now that you understand how a good data analytics program can add value to your career, you can check out our course list below and pick a data analytics training program that is right for you.

Here’s our list of the top 10 data analytics courses in Copenhagen to help you find a course that will help you gain the technical know-how and soft skills required to succeed in your data analytics career.

Look no further to find the advanced: 

Top Data Analytics Courses in Copenhagen

1. IIM SKILLS

Duration: 6 months

Delivery mode: Online

IIM SKILLS offers one of the best data analytics courses in Copenhagen with practical training, a 100% guaranteed internship, and an interview guarantee. This course is delivered online through live, instructor-led sessions.

For practical learning, you will work on hands-on assignments, 16+ live projects, and 10+ case studies. Once you complete the data analytics modules, IIM SKILLS offers a 1-month internship to help you apply your learnings in the real world.

 

You will learn many skills such as statistical analysis, programming techniques, data visualization, and dashboard creation.  You will gain exposure to 7+ data analytics tools/programming languages such as Python, Power BI, Excel, Alteryx, R, and Tableau.

 

You will earn a course completion certification from IIM SKILLS and also get a chance to prepare and appear for data analytics certification exams by Google and Microsoft.

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
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

 

To be eligible for this program, you will need a Bachelor’s degree (in any discipline) and a basic knowledge of computers and technology. Prior knowledge of mathematics/statistics would be a bonus, but it is not necessary. This program is suitable for both beginners and more experienced learners.

Once you complete this course, you will receive career assistance, including interviewing tips and career advice, that will help you land job interviews. IIM SKILLS offers a 100% interview guarantee for this program. They have a network of 500+ hiring partners.


IIM SKILLS offers a free demo session that you can attend, before enrolling in this program.

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2. ReDI

Duration: 4 months

Delivery mode: In-person

If you are looking for free data analytics courses in Copenhagen, you can check out the “Introduction to Data Analytics“ course by ReDI. ReDI offers a free, in-person data analytics training program in Copenhagen, where you will have 1 session per week for 4 months.

The classes will be held at their training center in Copenhagen. You will receive 1:1 mentoring and career support services. You will learn key data analytics skills such as data wrangling and data visualization and gain exposure to Python, SQL, and other tools/programming languages.

You can enroll in this program if you are digitally literate, have an interest in programming and data analytics, have a C1 level of proficiency in English, and can commit to attending classes. You must also have a basic understanding of Python, SQL, R, or Ruby or be willing to complete a Python boot camp before the start of the course.

Once you complete this course, you can access many career support services, including company visits, career coaching, career workshops, and career talks by data analytics professionals.

You can also apply for jobs on ReDI’s job platform. ReDI has a 1:1 mentoring program where you can connect with an industry professional who can guide and support you as you look for a job/internship or figure out the next steps of your data analytics career.

 
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3. Spoclearn

Duration: 4-6 months

Delivery mode: Online

If you want to explore data analytics courses in Copenhagen that are suited for beginners and provide job assistance, you can check out the data analytics course by Spoclearn. This course is delivered through instructor-led live sessions, where you can learn from industry experts across the globe.

For practical learning, this course offers hands-on exercises, case studies with real-world examples, and 10+ projects. It also includes peer-to-peer learning. You will learn many skills such as statistical analysis and data visualization. You will work with Python SQL, NumPy, Pandas, and other data analytics tools/programming languages.

No prior experience is required to join this program. It welcomes learners from diverse backgrounds. OIn completing this program, you will receive 100% job assistance that includes interview preparation, resume writing, and soft skills training.

This program also offers a 100% placement guarantee for its top 30 students. To help you find a job, Spoclearn works with 700+ hiring partners, from global MNCs to small and medium-sized businesses.

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4. Le Wagon

Duration: 2-7 months

Delivery mode: Online

Le Wagon offers one of the best data analytics courses in Copenhagen in terms of job-readiness, with portfolio-building activities and career support that can help you land your next job in as little as 3 months (on average). This program is delivered online. In-person training is available in Europe but not currently available in Copenhagen.

You can join a full-time program (online) at this data analytics institute in Copenhagen and graduate in 2 months (40 study hours/week) or join a part-time one and graduate in 7 months (16 study hours/week).

For practical learning, you will work on projects with real-world data and build a solid portfolio to showcase to recruiters. Towards the end of the program, you will give a live demo of your final project to an audience.

 

You will learn important skills such as data collection and data visualization and work with data analytics tools such as Python, SQL, Looker Studio, Power BI, and Zapier.

Le Wagon’s career services include personalized coaching, interview preparation, and opportunities to attend job fairs. You can land a job in 3 months on average. Le Wagon has a 90% employment rate and a network of 1000+ hiring partners.

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5. Thinkful

Duration: 6 months

Delivery mode: Online

If you want to explore data analytics courses in Copenhagen with 1:1 mentoring, you can have a look at Thinkful’s data analytics course. Thinkful offers an online data analytics training program in Copenhagen, which is delivered through live, instructor-led sessions. You will also get to learn from a community of your peers via Slack, in a safe and fun online environment.

You will learn essential data analytics skills such as statistical analysis, data visualization, and database querying and with tools and programming languages such as Advanced Excel, Python, Tableau, and SQL.

Thinkful offers on-demand technical coaching during this course, where you can get your technical queries resolved instantly via live chat.

This course also includes a 1:1 mentoring program, where you can regularly interact with a personal mentor from the industry who will give you detailed reviews and feedback on your work, along with career insights and tips.

If you are looking for a data analytics institute in Copenhagen with good mentoring support, you can consider Thinkful. You do not need any prior tech background to enroll in this program.

Once you complete this course, you can avail of career services from Thinkful, which include career workshops, resume reviews and interview preparation. Thinkful enjoys an 85% hiring rate for its data analytics program.

Thinkful offers a free short course on data analytics, where you can complete some beginner-friendly exercises and get an idea of what Thinkful’s data analytics platform feels like. This can help you get an idea of what their data analytics course will be like and help you decide if it would be a good fit for you.

 

6. Ironhack

Duration: 9-24 weeks

Delivery mode: Online or in-person

If you are looking for intensive data analytics courses in Copenhagen, you can have a look at Ironhack’s data analytics course. You can attend this data analytics training program in Copenhagen either online or in person.

This course is delivered through live sessions led by expert trainers and also supports peer-to-peer learning. For practical learning, you will work on many hands-on exercises and projects with real-world data.

You will learn key data analytics skills such as data visualization and statistics and gain exposure to Python, Tableau, Scikit, SQL, and other tools/programming languages.

This program also helps you become a future-ready professional by including artificial intelligence (AI), large language models like ChatGPT, and machine learning in its curriculum. You will learn about how these technologies can be used for data analytics.

This is a beginner-friendly program, so you do not need any prior skills or experience to join. At the end of this course, you will complete a final project that will use a combination of your technical and analytical skills. If you want to join a data analytics institute in Copenhagen that offers hands-on training and peer-to-peer learning, be sure to check out Ironhack.

Once you complete this program, Ironhack’s career advisors will provide you with career support, which includes resume and portfolio-building assistance and 1:1 career coaching sessions.

7. Fullstack

Duration: 10-26 weeks

Delivery mode: Online

If you are interested in data analytics courses in Copenhagen with excellent career support, be sure to check out Fullstack. Fullstack offers an online data analytics training program in Copenhagen, which is delivered through live sessions and workshops taught by industry-leading experts who are eager to train future data analysts.

For practical learning, you will work on projects with real-world data and practice what you learn in hands-on lab sessions. You will learn skills such as making data-driven presentations and building dashboards.

 
You will also work with tools such as Python, Tableau, SQL, and AWS. This program has a module specifically dedicated to performing data analysis in AWS.

This program is suitable for beginners and does not require any prior experience. All you need is a passion for tech, a love of problem-solving, and an eagerness to work hard and learn new skills. Fullstack is a great choice if you are looking for a data analytics institute in Copenhagen with a beginner-friendly program.

As part of this program, you will get trained to earn 2 in-demand certifications: “AWS Certified Data Analytics – Specialty” and “Tableau Desktop Specialist”. Taking the certification exams is optional, but is highly recommended by Fullstack.

Once you complete this program, you can avail of career support, including resume building and interview preparation assistance, career guidance, and networking tips, staying motivated during your job search, and negotiating job offers.

Fullstack maintains good relationships with many companies, including large organizations, start-ups, and agencies, and would be happy to help you connect with employers you would like to work for.

8. CareerFoundry

Duration: 5-10 months

Delivery mode: Online

CareerFoundry is one of the top data analytics courses in Copenhagen in terms of career support and 1:1 mentoring. This course is delivered through live online sessions by skilled industry experts. For practical learning, you will complete hands-on assignments and 7+ projects.

You will learn key data analytics skills such as descriptive analysis and data visualization and gain exposure to Tableau, Python, Anaconda, Jupyter, GitHub, and other data analytics tools/programming languages.

You will also get to choose either “Machine Learning with Python” or “Data Visualizations with Python” as your specialization and learn about topics within the specialization that you choose.

Throughout this program, you will receive 1:1 mentorship and feedback. You will be assigned a mentor who will guide you in your career and a tutor who will offer feedback on your assignments.

 
CareerFoundry is an excellent option if you are looking for a data analytics institute in Copenhagen with mentoring support. Fullstack, Thinkful, and Springboard also have great mentorship programs.

To enroll in this program, you must have motivation, an interest in data analytics, and proficiency in written and spoken English (level B2 or higher). This program is suitable for learners of different backgrounds, including complete beginners. You do not need a prior background in data or tech.

On completing this course, you can avail of career support services that include interview preparation, resume building, and 1:1 support from a career specialist. CareerFoundry offers a 100% job guarantee for students who meet specific eligibility criteria. You can find these eligibility criteria on their website. CareerFoundry has a hiring rate of over 90%.

If you want to find out if data analytics is the right field for you, CareerFoundry offers a free, short course on the fundamentals of data analytics that you can sign up for. You can also use this course as a chance to get an idea of what CareerFoundry’s main data analytics course would be like.

9. Springboard

Duration: 6 months

Delivery mode: Online

If you are interested in data analytics courses in Copenhagen for slightly experienced learners, you can have a look at Springboard’s data analytics course. This program is delivered through live sessions by industry experts.

For practical learning, you will complete 29 mini-projects and 2 capstone projects and add them to a job-ready project portfolio that you will be creating.

You will cover essential data analytics skills such as statistics, data visualization, and storytelling and work with tools/programming languages such as Python, Power BI, Tableau, and SQL.

This program also touches upon how data analytics is applied in economics, statistics, and finance. Springboard has collaborated with Microsoft in developing the course content for this program.

To enroll in this program, you need strong critical thinking and problem-solving skills and 2 years of professional work experience, where you have worked regularly with Office or programming tools. If you don’t meet these requirements, you can check out Springboard’s ‘Foundations to Core’ bootcamp in data analytics.

 
Once you complete this program, Springboard provides career support that includes 1:1 career coaching, mock interviews and resume building. Springboard also offers a job guarantee for students who meet specific eligibility criteria (mentioned on their website). Springboard has an 89.4% job placement rate.

10. Simplilearn

Duration: 11 months

Delivery mode: Online

If you want to explore data analytics courses in Copenhagen that focus on certifications and industry projects, be sure to check out Simplilearn’s data analytics course.

Simplilearn, in collaboration with IBM, offers an online data analytics training program in Copenhagen. This program is delivered through live sessions by a faculty of industry experts. For practical learning, you will work on 20+ industry projects and capstone projects from 3 different domains.

You will learn 8+ skills in this program, including statistical analysis, data visualization, and predictive analytics. You will work with 9+ tools, including Excel, Tableau, Power BI, and NumPy. This course includes 2 elective modules: Power BI and an industry masterclass in data analytics.

On completing this program, you will earn a program completion certificate from Simplilearn. You will also earn IBM certifications for the IBM courses included in this program. This program is suitable for both beginners and more experienced learners.

IBM offers masterclasses and ask-me-anything (AMA) sessions with IBM leadership in this program. You will also get opportunities to participate in hackathons conducted by IBM.

 

FAQs

1. What are the main reasons for pursuing a career in data analytics?

Data analytics is a high-demand, well-paying field, making it a popular career choice for many professionals. Data analytics is not heavy on coding, making it easier to learn compared to other tech domains such as web development. It is also considered rewarding, as it allows you to work across multiple sectors as you solve problems using data and present your results visually.

2. Are there any prerequisites for learning data analytics?

A background in tech/mathematics/statistics would be ideal while learning data analytics, but even learners without one can learn data analytics. Most of the courses we have mentioned here accept complete beginners and do not have any prior requirements.

3. What should I look for in good data analytics courses in Copenhagen?

A good data analytics course should cover in-demand industry tools and programming languages such as Python, Tableau, Advanced Excel, and SQL. If you are planning to enroll in a data analytics training program in Copenhagen, try to find one that includes lots of practical learning through live projects, capstone projects, and hands-on exercises. Career support is another feature that you can look for. Good career support typically includes assistance in portfolio building, resume building, and interview preparation. Some data analytics courses in Copenhagen also offer 1:1 career coaching.

4. How can I land my first data analytics job?

To land your first job as a data analyst, you must acquire the knowledge and skills needed to analyze data, derive insights from it, and present those insights visually. You must also focus on working with data analytics tools and programming languages and building a solid portfolio of data analytics projects that you can showcase to recruiters. To clear technical and behavioral interviews, make sure you get a good grasp of basic concepts in data analysis and develop good problem-solving, critical thinking, and collaboration skills. Make sure you find a data analytics institute in Copenhagen that supports you with any resources or coaching that you may need in these areas. Be sure to interact with your mentors, career coaches, and industry-experienced trainers as often as needed, for feedback and tips.

5. Can I learn data analytics along with a full-time job or other time commitments?

Yes, most of the data analytics courses in Copenhagen we have mentioned here offer part-time learning options. Many of these courses are delivered online, so you can take them from anywhere – all you need is a computer with an internet connection. Just make sure you can dedicate additional time to coursework during the week. You would typically require at least 16 study hours/week, though this may vary according to the program you select.

Conclusion

We hope this list of data analytics courses in Copenhagen helps you find the course that is best for you in terms of practical learning, portfolio-building assistance, career support, and any other requirements you may have. Learning data analytics can be challenging, but these courses help make it easier (and fun) through mentoring programs, peer-to-peer learning, practical, skills-based training, and other helpful features. Make sure you find a course that you are confident will support you both in your learning journey, as you acquire technical skills and in your career, as you work on your portfolio, prepare for interviews, and start looking for jobs.

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