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SDA / Courses / Data Science

Data Science: Unlock the power of Data to shape the future

Join our comprehensive Data Science course and secure a future-proof career by mastering the tools and techniques that drive modern innovation

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Unlock a world of opportunities with Data Science

Data is at the heart of today’s most important decisions, and Data Scientists are the experts who turn raw data into actionable insights. Estonia’s rapid digital growth and strong emphasis on technology create a high demand for skilled Data Scientists. By mastering data analysis, machine learning, and advanced statistical methods, you’ll be prepared to lead data-driven projects that shape the future.

Start your testing career today

  • date
    09.11
    mode
    daily
    location
    remote
    hours
    277 h
    price
    PROMO!
    apply now close modal
    promo! up to -30%

    Our Data Science course offers a comprehensive curriculum that covers all the essential areas of this dynamic field. You will learn:

    Fundamentals of Data Science

    Begin with an introduction to Data Science, exploring the role of a Data Scientist and how data drives decision-making in organizations. You’ll gain insights into the different tools and environments used in the industry.

    Python for Data Science

    Build a strong foundation in Python, the language of choice for Data Scientists. You’ll learn essential programming concepts, as well as how to use libraries like NumPy and Pandas to manipulate and analyze data efficiently.

    Machine Learning and AI

    Dive into machine learning techniques, from supervised learning to deep learning. You’ll work with popular frameworks like TensorFlow and Keras to create models that can predict outcomes, recognize patterns, and make data-driven decisions.

    Data Visualization and Communication

    Master the art of data storytelling by learning how to visualize complex data sets using tools like Matplotlib and Seaborn. You’ll learn how to present your findings in a clear and compelling way, making data insights accessible to stakeholders.



    Why SDA?

    We are experienced architects of success. We have helped 20,000 people expand their competences. We can help you too.

    We are specialists when it comes to successful projects. Over 10 years, we have created more than 20 courses covering a variety of disciplines. Your course will be based on the solid foundation of our many years of international experience.

    We know education. Our courses are thoughtful, practical and develop the skills currently required in the job market. With us, you will acquire the competences of the future.

    Ready to Get Started?

    Take advantage of our limited-time offer! Enroll in the Data Science course today and get up to 30% off. Don’t miss out—use code ‘SUMMER30’ at checkout. Limited spots available!

    fill out the form

    Choose your package

    Knowledge

    2 099 EUR 1599 EUR

    Get a solid foundation for launching your career on the IT market. This package includes the course workbook, live sessions, and video training.

    • Yes Workbook Introduction to Data Science
    • Yes Course
    • Yes Live Workshop with a Trainer
    • Yes Recommended Individual Workshop Session
    • Yes Workshop summary with a Trainer
    • Yes Video sessions – we broaden your competencies
    • Yes Tests
    • Yes Attestation of course completion
    • Yes SDA Certificate
    • No IT Career package – successfully enter the IT industry!
    • No CyberSecurity in IT
    • No Individual consultation with a Career Advisor
    • No HR Class – practical workshop
    • No IT Interview – job interview simulation
    • No Project +
    • No SCRUM Workshop
    • No Access to the SDA Library
    • No Your Mentor
    • No Individual consultations with the trainer

    IT-Career PRO

    3 499 EUR 2599 EUR

    In addition to the standard elements of the IT Knowledge and IT Career packages, the Career in IT PRO includes much more to help you get into the IT industry as soon as possible after completing the course!

    • Yes Workbook Introduction to Data Science
    • Yes Course
    • Yes Live Workshop with a Trainer
    • Yes Recommended Individual Workshop Session
    • Yes Workshop summary with a Trainer
    • Yes Video sessions – we broaden your competencies
    • Yes Tests
    • Yes Attestation of course completion
    • Yes SDA Certificate
    • Yes IT Career package – successfully enter the IT industry!
    • Yes CyberSecurity in IT
    • Yes Individual consultation with a Career Advisor
    • Yes HR Class – practical workshop
    • Yes IT Interview – job interview simulation
    • Yes Project +
    • Yes SCRUM Workshop
    • Yes Access to the SDA Library
    • Yes Your Mentor
    • Yes Individual consultations with the trainer
    Workbook Introduction to Data Science Course Live Workshop with a Trainer Recommended Individual Workshop Session Workshop summary with a Trainer Video sessions – we broaden your competencies Tests Attestation of course completion SDA Certificate IT Career package – successfully enter the IT industry! CyberSecurity in IT Individual consultation with a Career Advisor HR Class – practical workshop IT Interview – job interview simulation Project + SCRUM Workshop Access to the SDA Library Your Mentor Individual consultations with the trainer

    Payment options

    Tuition fees must be paid by the start date. If payment is by instalments, payment will be made according to the agreed schedule. Unemployment Insurance Fund (Töötukassa) will pay for Unemployment Training Card holders. Tuition fee refunds and arrangements for withdrawal are agreed in the training contract.

    For more information, please contact our customer adviser!

    Total cost: from $57/month

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    Pay with ESTO3

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    HOLM bank financing options:

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    Don’t wait to start building your future

    Take advantage of our limited-time offer! Enroll in the Data Science course today and get up to 30% off. Don’t miss out—use code ‘SUMMER30’ at checkout. Limited spots available!

    fill out the form

    What will change when you finish the course

    1. You will think like a Data Scientist

      After completing this course, you’ll develop a deep, data-driven mindset that allows you to tackle problems methodically and effectively. You’ll learn to view challenges through the lens of data, enabling you to analyze and interpret complex datasets with confidence. This approach will not only help you solve intricate problems but also allow you to uncover insights that drive strategic decision-making in any organization.

    2. Your value on the job market will increase

      This course will equip you with the full spectrum of skills needed to manage data-driven projects from start to finish. You’ll be proficient in everything from data collection and cleaning to developing sophisticated models and deploying them in real-world scenarios. This comprehensive ability to handle the entire data project lifecycle will enable you to drive innovation within any organization, ensuring that your contributions are both impactful and valuable.

    3. You will be able to develop and deploy data-driven projects

      When you master Python, projects that previously seemed too complicated will become feasible. Whether you want to create a big data application, a business process automation tool or develop machine learning projects, Python will allow you to make them happen. Your ability to develop such projects will open new doors in your career. You will gain the tools to take on bigger and more ambitious challenges.

    Get your spot today

    • date
      09.11
      mode
      daily
      location
      remote
      hours
      277 h
      price
      PROMO!
      apply now close modal
      promo! up to -30%

      What you will learn

      Click on the numbers and find out:

      System tools and GIT control system
      123456789101112

      System tools and GIT control system

      System tools are a collection of useful techniques for operating your system with commands. Every self-respecting Data Scientist should know how to operate the console and we will teach you how to do it.

      You will also learn how to use the GIT version control system that allows smooth collaboration in a team.

      Python in Data Science

      Python is the most popular language in Data Science. It has the largest number of libraries and frameworks that perform many Data Science tasks.

      In this module, you will learn the Python basics required for creating application code.

      Statistics and probability

      Data Science is based entirely on mathematics. This module will help you understand the operations performed with the Numpy library, where you can calculate basic operations from linear algebra (operations on vectors/matrices).

      In the second part, you will learn about probability – for example, why tests with a 90% success rate need to be repeated.

      Processing of data sets

      Data Science is data, data, and more data. Data come from different sources and in a variety of formats. They say that 90% of a Data Scientist’s job is data processing. It’s hard to disagree with that. The skills acquired in this module will be ones that you are going to use most frequently in your future professional life.

      You will learn how to process data downloaded by an API or from an SQL database.

      Data visualization

      One chart can say more than many words on a given topic. The ability to present data in an appropriate way is valuable in the context of working with customers that buy by eye.

      In this module, you will learn how to create interactive charts necessary for the work of Data Science.

      Machine Learning in practice

      Predicting stock market prices?

      Choosing the right moment to buy an apartment, taking into account historical prices?

      What does the future hold if we know the past?

      Regression tries to answer these questions. It enables the prediction of unknown values ​​of one quantity from the known values ​​of others. In addition, this module will introduce the entire subject of classic Machine Learning methods – the ones on which many modern solutions are based. You will also learn about classification problems in supervised learning and what unsupervised learning is.

      TensorFlow library

      You will learn about the most popular framework for creating network solutions. It enables easy implementation of given network architecture, its learning process, and subsequent actions.

      Neural networks

      Artificial neural networks are structures that mimic the structures found in our brains. We have an input signal that gets processed differently by different neurons that generate some information at the end of the process. It is one of the most popular ML methods, so you need to know it very well.

      They allow you to solve the problem of regression and classification, but also many others. We will teach you methods to learn such networks with the help of TensorFlow.

      Image processing – Computer Vision

      How do autonomous vehicles work?

      How do they recognize road signs or pedestrians? In this module, you will learn how to process image data.

      How do you filter the noise? What information can be extracted from images?

      Moreover, you will learn how to use special structures of neural networks used to process image data. By understanding transfer learning, you will be able to create solutions that can explain most image processing problems and more.

      Natural Language Processing (NLP)

      Alexa and Siri are two examples of voice assistants. How do they understand what we say to them?

      You will learn how to deal with textual data in this module (and learn the answer to this question).

      Working with sequences – recursive neural networks

      How can neural networks consider sequences and not a single object? How does the algorithm know which word should follow in a sentence?

      We will try to answer these questions using recursive neural networks.

      Practical projects

      During the course, you will complete four final projects. Three of them are hands-on projects (Regression, Classification, and Image Processing) carried out at different stages of the course. And at the end, you will be tasked with one large final project.

      An example of a final project could be a Covid-19 prediction project using publicly available data.

      System tools and GIT control system

      System tools are a collection of useful techniques for operating your system with commands. Every self-respecting Data Scientist should know how to operate the console and we will teach you how to do it.

      You will also learn how to use the GIT version control system that allows smooth collaboration in a team.

      Python in Data Science

      Python is the most popular language in Data Science. It has the largest number of libraries and frameworks that perform many Data Science tasks.

      In this module, you will learn the Python basics required for creating application code.

      Statistics and probability

      Data Science is based entirely on mathematics. This module will help you understand the operations performed with the Numpy library, where you can calculate basic operations from linear algebra (operations on vectors/matrices).

      In the second part, you will learn about probability – for example, why tests with a 90% success rate need to be repeated.

      Processing of data sets

      Data Science is data, data, and more data. Data come from different sources and in a variety of formats. They say that 90% of a Data Scientist’s job is data processing. It’s hard to disagree with that. The skills acquired in this module will be ones that you are going to use most frequently in your future professional life.

      You will learn how to process data downloaded by an API or from an SQL database.

      Data visualization

      One chart can say more than many words on a given topic. The ability to present data in an appropriate way is valuable in the context of working with customers that buy by eye.

      In this module, you will learn how to create interactive charts necessary for the work of Data Science.

      Machine Learning in practice

      Predicting stock market prices?

      Choosing the right moment to buy an apartment, taking into account historical prices?

      What does the future hold if we know the past?

      Regression tries to answer these questions. It enables the prediction of unknown values ​​of one quantity from the known values ​​of others. In addition, this module will introduce the entire subject of classic Machine Learning methods – the ones on which many modern solutions are based. You will also learn about classification problems in supervised learning and what unsupervised learning is.

      TensorFlow library

      You will learn about the most popular framework for creating network solutions. It enables easy implementation of given network architecture, its learning process, and subsequent actions.

      Neural networks

      Artificial neural networks are structures that mimic the structures found in our brains. We have an input signal that gets processed differently by different neurons that generate some information at the end of the process. It is one of the most popular ML methods, so you need to know it very well.

      They allow you to solve the problem of regression and classification, but also many others. We will teach you methods to learn such networks with the help of TensorFlow.

      Image processing – Computer Vision

      How do autonomous vehicles work?

      How do they recognize road signs or pedestrians? In this module, you will learn how to process image data.

      How do you filter the noise? What information can be extracted from images?

      Moreover, you will learn how to use special structures of neural networks used to process image data. By understanding transfer learning, you will be able to create solutions that can explain most image processing problems and more.

      Natural Language Processing (NLP)

      Alexa and Siri are two examples of voice assistants. How do they understand what we say to them?

      You will learn how to deal with textual data in this module (and learn the answer to this question).

      Working with sequences – recursive neural networks

      How can neural networks consider sequences and not a single object? How does the algorithm know which word should follow in a sentence?

      We will try to answer these questions using recursive neural networks.

      Practical projects

      During the course, you will complete four final projects. Three of them are hands-on projects (Regression, Classification, and Image Processing) carried out at different stages of the course. And at the end, you will be tasked with one large final project.

      An example of a final project could be a Covid-19 prediction project using publicly available data.

      What our graduates say

      “I can say that the instructors offered us a lot of support. Every time they knew about a job opening for juniors, they let us know about it.”

      Bianca Todoran Data Analyst, The Smart Cube

      “The course syllabus is very comprehensive, not just about Java. It’s a good place to start learning. The course helped me to build a knowledge base that I would build on further in line with the job or project requirements I’m working on.”

      Adina Dumitrescu Software Developer, Kalypso

      “If I had to choose the biggest value I got from the course, it’s that it showed me how the human value and technical value go hand in hand in the IT industry. And SDA has managed to outdo themselves in both.”

      Levente Szilveszter Software Developer, Uniqa Raiffeisen Software Service

      “To summarize it all, I would definitely suggest that you try this SDA course if you’re planning to enter the programming world.”

      Pavel Pšečuk Breakwater Technology tehnilise toe insener

      Looking for your path in the technology industry? Explore your possibilities.

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      Immerse yourself in the world of artificial intelligence and participate in the process of machine learning. During the course, you will have the opportunity to create artificial intelligence models from scratch, and you will also take part in the improvement of already existing models. The volume of the course is in academic hours: the total volume is 663 hours of which 201 hours are auditory and 462 hours of independent work. The course takes place on weekends and 100% using remote work tools.

      Learn more
      • date
        30.11
        mode
        weekends
        location
        remote
        hours
        663 h
        price
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      Data Science

      Want to snatch the sexiest job of the 21st century? This course will teach you to master advanced machine-learning techniques and discover hidden gems in massive data sets. The course is in academic hours: the total volume is 277 hours of which 273 hours are auditory and 4 hours of independent work. The course takes place on weekends and 100% using remote work tools.

      Learn more
      • date
        09.11
        mode
        daily
        location
        remote
        hours
        277 h
        price
        PROMO!
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      Java

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      Learn more
      • date
        19.10
        mode
        weekends
        location
        remote
        hours
        414 h
        price
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      UX/UI Design

      Even the best app can’t make it without an attractive look and seamless flow. Sign up for this course to become the UX/UI designer product teams need on board. The course is in academic hours: the total volume is 233 hours, of which 225 hours are lectures and 8 hours are independent work. The course takes place on weekends and 100% using remote work tools.

      Learn more
      • date
        19.10
        mode
        weekends
        location
        remote
        hours
        233h
        price
        PROMO!
        promo! up to -30%

      Data Science

      Want to snatch the sexiest job of the 21st century? This course will teach you to master advanced machine-learning techniques and discover hidden gems in massive data sets. The course is in academic hours: the total volume is 277 hours of which 273 hours are auditory and 4 hours of independent work. The course takes place on weekends and 100% using remote work tools.

      learn more
      • date
        09.11
        mode
        daily
        location
        remote
        hours
        277 h
        price
        PROMO!
        promo! up to -30%

      Python

      Want to grow your career in global tech giants and startups alike? Python is your go-to programming language. Learn and drive innovation with AI and machine learning. The course is in academic hours: the total volume is 385 hours, of which 349 hours are lectures and 36 hours are independent work. The course takes place on weekends and 100% using remote work tools.

      learn more
      • date
        19.10
        mode
        weekends
        location
        remote
        hours
        385 h
        price
        PROMO!
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      Software Tester

      Nissan once recalled 1+ million cars from the market because of software failure. Want to make an impact on software quality? Become a software tester and grow your career in exciting QA teams. The course is in academic hours: the total volume is 163 hours, of which 100% are lectures with the trainer. The course takes place on weekends and 100% using remote work tools.

      learn more
      • date
        19.10
        mode
        weekends
        location
        remote
        hours
        163 h
        price
        PROMO!
        promo! up to -30%
      • date
        09.11
        mode
        weekends
        location
        remote
        hours
        163 h
        price
        PROMO!
        promo! up to -30%