Start a new career as a data analyst - with practical skills 

Intensive 11-week mentorship program for career changers. Acquire in-demand skills (SQL, Python, PowerBI) through an engaging business mission and build a portfolio that opens doors.

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Do you feel your current career no longer offers challenges?

The world is changing rapidly and data is the currency of the new era. Many professionals discover that their existing skills may not be sufficient in the future. If you're looking for a new, exciting, and in-demand profession that offers both intellectual challenge and excellent career opportunities, data analytics is just for you.

Our program is your fastest path to the world of data.

This is not an ordinary lecture course. This is an intensive, practical, and simulation-based experience that gives you exactly the skills that employers are looking for. Take the first step toward your new career!

Why Choose the Data Analyst Career Accelerator?

Practical Simulation

You learn by "doing the work", solving real business problems as a consultant in the engaging "UrbanStyle Mission".

Expert Mentorship

You are guided by experienced practitioners who provide personal feedback and share their knowledge.

Flexible Structure

Intensive yet flexible: we combine interactive sessions and group work with independent learning, using the best materials from our e-learning catalogue.

In-Demand Skills

We focus on the most essential tools (SQL, Python, PowerBI) and create a portfolio that makes you visible to employers.

 

SKILLS FOR THE FUTURE

What Will You Learn in the Program?

We focus on practical skills you need for a successful career as a data analyst.

Technical Tools and Methods:

  • SQL: Querying, cleaning, and joining data from large databases (Supabase).
  • Python: Data analysis and manipulation (Pandas) to find deeper patterns.
  • PowerBI or Python: Creating interactive and impactful visualizations and dashboards.
  • AI Tools: Using artificial intelligence to accelerate and enhance the analysis process.

Business and General Skills:

  • Problem-solving and business thinking.
  • Data-driven storytelling and communicating results.
  • Teamwork and project management in an agile environment.
  • Creating a professional portfolio on GitHub.

Program Structure: Your Journey to Becoming a Data Analyst

Weeks 0-4: Building the Foundation

We start with setting up tools and dive into the world of SQL. You will learn to clean, organize, and join data, creating a foundation for further analysis.

Weeks 5-8: Analysis and Visualization

We transform data into visual stories using PowerBI or Python and take a step forward with Python to discover deeper patterns and segment customers.

Weeks 9-10: Synthesis and Career Launch

We consolidate everything learned into a comprehensive final project, polish your professional profile, and prepare for successful entry into the job market.

Typical Learning Week: Focus and Practice

Monday

Independent learning with e-materials: prepare for the week's topic.

Tuesday

Mentor session (1.5h): New topic, connection to narrative, practical exercise.

Thursday

Group work (1.5h): Apply what you learned, solve UrbanStyle's problem, expand your portfolio.

Friday

Demo & Feedback (1.5h): Present solution, give and receive feedback

Check Curriculum

Your New Career Awaits

There is large and growing demand for data analysts in the job market. Companies in every sector need specialists who can find value in data and help make better decisions. Our program gives you a competitive advantage.

  • You will acquire practical skills that employers value.
  • You will create a real portfolio that demonstrates your capabilities.
  • You will receive support in career planning and job searching.

Is This Program for You?

Our career accelerator is created especially for you if you:

  • Are a career changer and looking for a new, future-proof profession.
  • Want to complement your current skills with in-demand data analytics competencies.
  • Are highly motivated and ready for intensive practical learning.
  • You don't need to have previous IT, programming, or data analytics experience.
  • Important! You are ready to dedicate at least 15-20 hours per week to the program (approx. 2-3 hours per day).

You Don't Learn Alone. You Learn with a Team of Practitioners.

 
Silver Toompalu

Silver Toompalu, MSc

SQL and Data Query Language Expert

27+ years of training experience

Silver is a practitioner who has conducted SQL training for different levels. Works as a lecturer at Estonian University of Life Sciences and Tallinn University of Applied Sciences, holds a master's degree in information technology and long-term experience in both IT and economics. In his part, Silver combines technical expertise with practical examples.

Competencies

SQL (beginner to advanced) • Databases • Data analysis • Statistics

Adult educator (level 7)
Teacher (level 7)
Master's degree, Information Technology

Jelena Laudver

Jelena Laudver, M.B.A.

Talent Acquisition and Human Resources Management Expert

20+ years of HR experience

A leader with 20+ years of HR experience who specializes in talent acquisition for the technology sector in cybersecurity, AI, fintech, and greentech fields. Jelena helps learners understand employer expectations, strengthen their professional identity, and successfully prepare for entry into data analyst roles.

Competencies

Talent search in tech sector • Career counseling • Job interview preparation • CV and LinkedIn optimization

Executive & Tech Talent Partner
Specialization: Cybersecurity, AI, Fintech
Master's degree, Business Administration (MBA)

"Liked the final presentation, also Jelena Laudver as a person"

Renee Kooli

Renee Kooli, BSc

Data Strategy and Visual Storytelling Expert

16+ years of data analytics experience

A practitioner with 16+ years of data analytics experience from Microsoft/Skype, who specializes in transforming complex data into understandable visual stories. Renee's strength is data visualization, dashboard design, and strategic implementation of analytical solutions.

Competencies

Data visualization (Power BI, Tableau) • Dashboard design • Data Strategy • SQL • Business Intelligence

Lecturer, Estonian Business School
Ex-Microsoft, Skype, Omniva
Bachelor's degree, Computer Science

"I would praise Renee Kooli, very good mentor. Renee's attitude and enthusiasm."

What Do Our Previous Program Graduates Say?

 

"I liked the practical structure of the training. Most activities could be done independently which helps to understand what is being taught better."

- Previous training graduate

"Liked the understanding, inspiring mentors - who know what they're talking about and helped work toward - what could be done even better."

- Previous training graduate

"Very good and logical structure. I got a lot of useful information for myself and more than I expected from the training."

- Previous training graduate

"I liked the personal approach and the practical part. Everything could and had to be done by ourselves."

- Previous training graduate

Frequently Asked Questions

Ready to Take the Next Step in Your Career?

The number of places in the program is limited. Don't miss the opportunity to invest in your future and acquire skills that are highly valued in the job market.

Apply Now

TRAINING

Data Analyst Career Accelerator: A Hands-On Mentorship Program

Your investment in a new career

This program is created for professionals who value their time and expect real, practical results. The number of places is strictly limited to ensure personal mentorship.

Regular price: €3650

€2490

Promotional price valid until confirmation of the program's official HAKA micro-credential status (planned spring 2026).

Investment in quality and confidence for you

The previous version of our data analyst program has already earned the highest quality mark from the Education and Youth Board (HAKA). This updated program has been submitted as an official micro-credential candidate.

What your investment includes:

  • Total study volume: 312 academic hours (234 astronomical hours).
  • Mentorship & Practice: 66 academic hours (49.5h) of real-time (Google Meet) mentorship and guided practice.
  • Independent work: 246 academic hours (184.5h) for building a portfolio, including completing the official e-textbook.
  • Duration: ~2.5 months, in interactive and flexible format.

Start your journey here

Please note: This is an application, not an automatic purchase.

After submitting the application, our program manager will contact you personally to discuss your expectations, answer questions, and ensure that the program is 100% suitable for you.