Advanced Training Program for Data Analysts

The aim of the project’s training courses is to support the professional development of specialists working in or entering the field of data analytics by equipping them with the skills to use data in decision-making and in the development of business processes and services. The training helps increase participants’ ability to collect, analyze, and clearly present data to support data-driven decision-making within organizations. The training contributes to enhancing the capacity of small and medium-sized enterprises (SMEs) and supports increasing the digital capabilities and value-creation potential of Estonian companies.

PROJECT ACTIVITIES

Within the project, three courses will be conducted for a total of 120 participants.

Each course lasts 13 weeks and is delivered entirely online. The study workload is 277.5 academic hours, which includes independent study, e-learning, interactive lectures, practical exercises and assignments, video viewing and review, meetings with lecturers, and more.

The program consists of seven e-learning modules. Upon completion, participants will have gained knowledge on how to find, use, and analyze data, and how to apply data in evaluating, measuring, and justifying business decisions, including an introduction to relevant methodologies. The e-learning modules are provided in English.

An important part of the program is study support, which includes scheduled meetings with lecturers and mentors via electronic channels. These meetings are conducted in Estonian.

ELIGIBILITY REQUIREMENTS FOR PARTICIPATION

Target group for the training:

• At least 21 years old

• Higher education (preferably in economics, statistics, natural sciences, or social sciences) or vocational education in ICT (level 5)

• Good computer skills: ability to manage files, use various software, and navigate digital environments

• At least intermediate-level Excel skills: using formulas, creating pivot tables, and basic data cleaning

• Strong interest in data analytics and preferably relevant work experience

• Proficiency in both English and Estonian at a level that enables independent understanding of study materials, self-study, and clear expression of thoughts (at least B2 level)

• Preference will be given to candidates working in small and medium-sized enterprises (SMEs), where participation supports both personal professional development and the company’s digitalization and data-driven management.

TRAINING LOCATION

The program is delivered entirely online.

PROJECT APPLICATION

To participate in the project, register for the training here.

Application for the training consists of 4 stages:

• Stage I – Application review
  Candidates’ applications are reviewed for eligibility based on education, language skills, and computer proficiency, and their motivation to participate and apply the learning professionally is assessed.

• Stage II – General aptitude test
  Candidates who pass the initial selection are invited to take an online general aptitude test (Tripod Analytical, duration approximately 1 hour) to assess logical thinking and readiness for data analytics studies.

• Stage III – Additional assessment
  Candidates may be asked to provide a letter of recommendation from their employer. If motivation remains unclear, an English interview will be conducted to clarify the candidate’s goals, skills, and readiness for studies.

• Stage IV – Final selection
  The final selection is based on profiles, test results, recommendation letters, and interviews. Preference is given to motivated candidates whose participation supports their professional growth as well as the digitalization and data-driven management of their company.

Training Dates

• 1st course: November 17 – March 6, 2026 (link)

• 2nd course: November 24 – March 13, 2026 (link)

• 3rd course: December 1 – March 20, 2026 (link)

If a participant withdraws during the training, a cancellation fee of €1500 (including VAT) may apply.

The Data Analyst training program is organized by BCS Koolitus AS in cooperation with the Ministry of Economic Affairs and Communications under the European Union Structural Support scheme “Increasing Digital Literacy,” funded by the European Social Fund.