Top 10 Data Science Courses In Estonia With Placements

If you think data science is exciting and are eager to build a career in this fast-growing, high-paying field with your analytical and problem-solving skills, you will need a way to learn data science. We have put together a list of the top 10 data science courses in Estonia that can help you build hands-on, job-ready skills and become a successful data science professional.

Who Should Take a Data Science Course?

Data science courses are useful for students/freshers who want to explore a career in data science and career changers who want to move into data science from their existing careers.

If you are a fresher or career changer who is new to data science, you can use data science courses to learn programming, statistics, and other data science skills from scratch.

You can understand the tools and technologies that are used in the industry and learn to work with them through hands-on projects and assignments. You can also benefit from building a portfolio of your data science projects, creating a resume, and preparing for interviews.

This will help you land a job (or internship) and begin your data science career. Some institutes also make job opportunities available to you through hiring partners and help you with your interview prep.

If you are a professional who already has experience in data science, data science courses can help you add to your skills by learning about tools and techniques that you may not yet be aware of and gaining career insights, mentoring, and advice from industry-experienced trainers and other professionals.

You will also benefit from the hands-on practice that you will get from projects and exercises and job preparation support through which you can polish your resume and prepare for interviews.

Since data science courses focus on industry-relevant training, you will be able to get a good idea of what in-demand skills employers are looking for and prepare accordingly.

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Ready to learn data science skills and move forward in your data science career? Let’s check out the courses that can help!

1. IIM SKILLS

If you want to build job-ready data science skills, you can take up IIM SKILLS’ data science course. No matter what your current understanding of data science may be, this is one of the best data science courses in Estonia that can help you take your skills to the next level.

You can learn data science with an industry-focused curriculum and sharpen your practical skills by completing projects, case studies, and hands-on assignments.

You will also receive career support in this course to help you find a data science job. You can pursue this course through live, instructor-led training sessions and complete it in 11 months.

In your course curriculum, you will cover AI, machine learning, Python, SQL, Power BI, Tableau, R, and Alteryx.

To help you learn data science tools and techniques effectively, this course offers practical, hands-on training through 16+ live projects, 10+ case studies, and 100+ hours of hands-on assignments. You will also learn to work with 7+ tools such as Python, SQL, Jupyter, ChatGPT, and Flask.

Once you complete this program, you will earn a data science certification from IIM SKILLS that will highlight your mastery of industry-relevant data science concepts. You will also earn additional certifications from Google and Microsoft.

To help you land a job in data science, IIM SKILLS will help you draft your resume and prepare for interviews. You will also be able to apply for job opportunities with their vast network of 500+ hiring partners.

If you are looking for data science institutes in Estonia with a solid career support program, IIM SKILLS may be a great option to consider.

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2. Code Labs Academy

Want to develop your data science and AI skills through fast-paced, intensive data science courses in Estonia? In this boot camp, you will explore data science through discussions, projects, and practice exercises.

Once you complete your training, you will receive 1:1 career coaching and other personalized career support to help you land internships and jobs.

You can complete this program remotely through live, online classes. You can pursue this course full-time and complete it in 12 weeks or pursue it part-time and complete it in 24 weeks.

In this course, you will start with some preparatory work that will help you get an idea of data science foundations. You will cover the fundamentals of Python, Jupyter, Anaconda, SQL, databases, linear algebra, Git, and GitHub.

You will then move on to the main course modules on data analytics, machine learning, deep learning, computer vision, natural language processing, and model building.

You will be able to immerse yourself in your learning, with interactive discussions, projects, hands-on exercises, and portfolio building to help you achieve your full potential as a data science professional.

If you are looking for data science institutes in Estonia with a rigorous but immersive, hands-on approach, Code Labs Academy is a great choice.

Once you complete the boot camp, you will receive your data science and AI certification from Code Labs Academy.

Code Labs Academy will support you as you look for a job through career development workshops, 1:1 career coaching, career counseling, interview preparation assistance, resume and cover letter reviews, job/internship round-ups, and access to networking events.

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3. The Knowledge Academy

If you would like to explore short data science courses in Estonia that you can complete quickly, you can go for The Knowledge Academy’s “Data Science Analytics” course.

In this course, you will get a quick yet detailed introduction to the key aspects of data science. You can complete this course online in 1 day. You can choose to complete it through live, instructor-led sessions or self-paced learning.

Through the modules in the course, you will learn about data science basics, data wrangling, data analysis, data mining, data visualization, data manipulation, and big data.

You will get trained by experienced instructors. Once you complete this course, you will receive your data science certification from The Knowledge Academy.

As we can see, The Knowledge Academy is great for learning about data science basics. However, it can also be among the best data science institutes in Estonia in cases where you want to learn about a specific data science topic in detail.

You can find many courses here on specific data science topics such as Python, probability and statistics, text mining, predictive analytics, and data mining.

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4. NobleProg

Want more options in introductory data science courses? You may like to explore NobleProg’s “Introduction to Data Science course.

In this course, you can understand what data science is about and what the key areas of data science are. As you learn, you can complete projects, exercises, and lab sessions for practice. You can complete this program online or in person in Estonia in 35 hours.

You will find course modules in this program on data science basics, the data science lifecycle, data visualization, SQL, and supervised and unsupervised machine learning.

To be able to make the most of this course, you will need some prior knowledge of mathematics and statistics and some programming experience (preferably in Python).

You can enjoy a hands-on learning experience in this course and learn data science through interactive lectures and discussions, practice exercises, and online lab sessions.

Once you complete this training program, you will receive your data science certification from NobleProg.

You can find more data science courses in Estonia on NobleProg Python, Jupyter, big data, KNIME, Anaconda, and other topics.

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5. Careerera

Careerera is one of the best data science institutes in Estonia if you want to learn about the statistical techniques that data scientists use.

In their data science professional certification course, you will be able to master these techniques and learn about other data science and machine learning concepts through live training and project work.

You will also be able to avail of job assistance from Careerera. You can complete this course through live, online training that will be delivered over 6 months.

In the course curriculum, you will learn about many topics such as Python, exploratory data analysis, SQL, statistics, hypothesis testing, supervised and unsupervised machine learning, regression, decision trees, classification, support vector machines, principal component analysis, ensemble modelling, and Power BI.

You can start applying what you learn through hands-on lab sessions, projects, and simulation exams. You will learn to use Python libraries such as Pandas, NumPy, Matplot, and Seaborn as well as learn to work with Tableau and Google Data Studio.

Once you complete this course, you will receive a professional data science certification from Careerera.

Careerera will help you find job opportunities through their network of 200+ hiring partners and also help you out in other ways when you start searching for jobs.

You can check out other data science courses in Estonia on Careerera in which you can earn certifications in Python, machine learning, deep learning, time series forecasting, and other areas of data science. You can also find free data science courses on Careerera on some topics.

6. Simplilearn

Simplilearn and IBM have partnered up for this course to help you interactively learn data science through live sessions, practical training, and frequent interaction with industry experts from IBM.

You can complete this course through live, online classes in 11 months. The core modules in this course cover programming essentials, SQL, Python, machine learning, and Tableau.

You can pursue electives in R, Excel, Power BI, generative AI, and data science advancements. The elective modules on data science advancement will be delivered through a masterclass by IBM.

To gain practical exposure, you will work on 25+ projects and 3 capstone projects in this course. You will also attend online lab sessions and learn to handle 14+ data science and AI tools, such as Python, Dall-E, Power BI, Tableau, NumPy, and Scikit-learn.

IBM gives you a chance to participate in hackathons, attend masterclasses delivered by IBM experts, and engage with IBM leaders through ask-me-anything sessions.

You will receive a course completion certificate from Simplilearn and also receive IBM certifications in different areas of data science. Simplilearn is one of the best data science institutes in Estonia if you are looking for course providers with good industry tie-ups.

7. SkillUp

SkillUp is one of the best data science institutes in Estonia for beginners and career changers who want to get into data science. Many of its high-quality courses include IBM certifications.

The “Data Science 101” course is one such course.  You will learn about data science and its applications and also get to hear from many actual people who work in data science. This will give you a sense of what it is like to work in this field.

Through the modules in this course, you will be able to understand the definition of data science, the role of a data scientist, and the applications of data science.

You will work on projects and hands-on exercises in R, Python, and other areas of data science. You can ask questions and interact with your peers through a dedicated discussion space.

A mentor will guide you as you work through the course content. After you complete this course, you will receive an IBM certificate to showcase your mastery of data science fundamentals.

Some of the other data science courses in Estonia that you can pursue through SkillUp include courses on Python, SQL, the data science method, data privacy, data visualization, machine learning, and other topics.

8. Chegg Skills

Chegg Skills is another great option for those who are interested in mentor-led data science courses in Estonia. Their data science certification will help you build job-ready data science and machine learning skills through hands-on, project-based learning and regular 1:1 mentoring.

You can complete this course online in 6-10 months by committing 10-20 hours/week to your lessons. The lessons will be a mix of self-paced learning and live, 1:1 mentoring.

The course modules cover Python, SQL, experiment design, and hypothesis testing along with supervised and unsupervised machine learning. You will also learn about advanced specialization topics such as big data and deep learning.

For hands-on, application-based learning, this course includes many capstone projects that you can complete. You will also receive 1:1 mentoring during the program.

Your industry-experienced mentor will guide you on your projects and provide you with useful career insights and tips. Once you complete your course, you will earn a data science certificate from Chegg Skills.

If you want to explore data science institutes in Estonia with self-paced learning and good 1:1 mentoring support, you can check out Chegg Skills.

9. Springboard

Springboard’s data science boot camp is another major option among the intensive, job-oriented data science courses in Estonia that we have covered.

In this program, you will learn to build job-ready skills and grow your data science career through project-based learning, 1:1 mentoring, and job preparation support.

Springboard is also among the few data science institutes in Estonia that give you a chance to pursue specializations in data science. You can complete this course part-time, through 6 months of self-paced online learning.

The course modules in this program cover key data science skills, the data science method, problem identification, Python, data wrangling, SQL, databases, exploratory data analysis, supervised and unsupervised machine learning, feature engineering, and data storytelling.

To gain a practical understanding of these data science concepts, you will work on 28 mini-projects, 3 capstone projects, and 1 specialization project in this course.

You will learn the tools and programming languages favoured by data scientists around the world, some of which include Python, SQL, R, GitHub, and Spark.

During your training, you will have access to 1:1 mentoring, career coaching, and student advisory services.

You will also create a portfolio of the projects that you complete in this course, which will be useful for communicating your skills to potential employers when you start applying for jobs.

Upon successful course completion, you will earn a data science certificate from Springboard.

Besides personalized career coaching, you will receive other job preparation support in this course through which you will be able to create a job search strategy, craft your data science resume and LinkedIn profile, build your network, and prepare for interviews.

This program includes some eligibility criteria for enrolling, such as 6+ months of active coding experience in R, Python, Java, C++, or other similar languages and a basic knowledge of probability and descriptive statistics.

If you do not meet these criteria, you can join Springboard’s “Foundations to Core” data science program that is open to everyone.

10. LinkedIn Learning

LinkedIn Learning is one of the best data science institutes in Estonia for courses that help with both conceptual and on-the-job learning.

It offers a “Data Science Foundations” course on the meaning of data science and important concepts related to this field, which is great for both beginners and experienced learners.

You can complete this course through 5 hours and 17 minutes of on-demand video lessons.

The course content covers the meaning of data science, the relevance of data, data ethics, data sources, data analysis rules, data science tools, mathematics, unsupervised and supervised machine learning, generative methods in data science, data interpretation, and gaining actionable insights.

To help you practice the skills and test your understanding as you learn, this course includes 1 exercise file and 10 quick quizzes. Once you complete all your lessons, you will earn a data science certificate from LinkedIn Learning.

In addition to this course, LinkedIn Learning offers many data science courses in Estonia that can help you in your career.

Besides courses on Python, SQL, and other major areas of data science, it includes courses on the use of data science methodologies in business, future-proofing your data science career, and avoiding mistakes in data science.

FAQs

How long will it take for me to learn the basics of data science?

Depending on which data science course you pick, you can learn data science in 6-11 months through part-time learning. If you opt for full-time programs, you can learn data science in 2-3 months. You will learn about data science concepts through live/self-paced training sessions and develop hands-on, practical; skills through projects, exercises, and assignments.

What are the main tools and programming languages that will be covered in data science courses in Estonia?

Data science courses in Estonia usually cover Python, R, SQL, and Tableau. Some courses may also cover AI and machine learning tools. All the data science courses in Estonia that we have mentioned here cover the latest industry-relevant tools and programming languages.

Do I have to meet any eligibility criteria for enrolling in data science courses in Estonia?

In most cases, no. A few of the data science courses in Estonia on our list require programming experience or some prior knowledge of mathematics and statistics, but most courses are happy to train you in these and other aspects of data science from scratch. So, you will not need any prior knowledge/experience before enrolling in these courses.

Conclusion

Picking up Industry-relevant data science skills through courses can give you a huge advantage in the job market and make your application stand out. The mentoring and industry insights that you receive in data science courses in Estonia can also help you plan your career better and avoid possible mistakes.

You can get support while you apply for jobs, practice your interview skills, and set your career goals. As data science is a fast-growing field, you may need to pick up new skills even after you start working in a data science role. If you complete a data science course and master the basics of this field, it will become easier for you to pick up these additional skills in the future.