Launch your Data Analyst career | Telerik Academy Upskill
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Telerik Academy Upskill

Become a job-ready
Data Analyst in 15 weeks

Rating 4.3 MMBA

4.7/5

 

Overview

Your path to a modern data career starts here

Build real skills, confidence, and experience, not just tool knowledge. Whether you're in business, finance, marketing, operations, or a recent graduate ready to build a data career, Upskill Data Anlyst provides:

  • End-to-end analytics expertise: go beyond tools and learn how data creates business value, from raw inputs to decisions
  • Guidance from senior data professionals: learn best practices and modern workflows directly from experts in leading companies
  • AI-enhanced analytics skills: leverage Generative AI and modern cloud tools to speed up analysis and insights
  • Hands-on learning with real business cases: leverage Generative AI and modern cloud tools to speed up analysis and insights
  • Career-ready preparation: build a portfolio project and practice real interview scenarios with industry feedback
Program duration

3 months. You can combine the program with your job or studies

Lectures

Monday - Wednesday (6:30-9:30 pm). 
2 times/week. Start: Feb 9, 2026; End: May 26, 2026

Commitment

6-11+ hrs/week plus additional time for self-prep and assignments. You’ll have 2 weeks of vacation

Format

Lectures will be held online

Language

Conducted in Bulgarian, but all learning materials are in English

Early bird price

BGN 4,275 BGN 4,500

EUR 2,185.76 EUR 2,300.81

Upskill Data Analyst snapshot 

Program core areas

06-data-analysis-icon

Data Fundamentals & Analytics Mindset

01-strategy-icon

SQL & Databases in Practice

04-sales-icon

Data Visualization & BI Dashboards

02-product-management-icon

Python for Analytics & Automation

03-marketing-management-icon

Statistics, Forecasting & Time Series

08-stakeholder-relations-icon

Machine Learning & GenAI for Analysts

09-leadership-icon

End-to-End Business Analytics Project

10-communication-icon

Career Acceleration & Interview Coaching

Why go for Upskill Data Analyst:
  • Learn from top data experts from leading companies.
  • Build job-ready skills through real-world projects.
  • Master the most in-demand tools — SQL, Power BI, Python, Git & AI
  • Apply AI and automation for smarter, faster decisions.
  • Gain hands-on experience across the full analytics lifecycle.
  • Practical, project-based curriculum designed for busy professionals.
  • Get mentoring, mock interviews, and industry feedback.
  • Earn a Telerik Academy certificate recognized by top employers in Bulgaria.

100% success, 100% confidence

15+
years experience
100%
consider their Telerik Academy 
education a good investment in 
their professional development
100%
confidence in the value of the 
program and its impact on the 
life of the students

The role of the Data Analyst

Today, each company is a data company. According to the World Economic Forum, data Analysts are among the most sought-after exporters on the job market, with projections to be the sixth-fastest growing occupation in the next 4 years.

alpha-java-inner-3alpha-java-inner-4-2

A dynamic and multifaceted role that requires a unique blend of analytical thinking, technical expertise, and effective communication.

As a Data Analyst, you’ll be a valuable asset to innovative companies, well-positioned to advance to Data Science or Data Engineering.

Right after graduation you can start working as a Junior or Regular Data Analyst, a BI Analyst or a Product Analyst.

Your contribution to organizational strategies in a data-driven world will ensure you enjoy a higher salary compared to traditional finance roles.

Application

Is this for me? Yes, if you're:
  • A professional with a passion for data and a problem-solving attitude.
  • With a background in banking, accounting, finance, or another adjacent field, and are seeking career change.
  • A recent university graduate or student seeking a career as data professional.
  • A company looking to upskill your employees. Get in touch
Do I need previous experience?

No previous experience is required but you should have a technical background or work closely with technical professionals.

    How can I apply?
  1. Submit your online application.
  2. Pass an online test.
  3. Some candidates might also be invited to attend an interview.

Timeline*

  • oct
  • nov
  • dec
  • jan
  • feb
  • Oct 30 - Jan 30 | Submit application form and CV
  • Oct 30 - Jan 30 | Take
    online test
  • Feb 9 - May 21|
    Study at Telerik Academy Upskill
Important dates
  • Oct 30 - Feb 9 | Submit application form
  • Oct 30 - Feb 9 | Take online test
  • Feb 9 - May 21 | Study at Telerik Academy Upskill

 *Dates, timeline, and curriculum are subject to updates.

Program details

Тhe Upskill program at a glance

  • Hands-on
    training
  • Tailored learning
    experience
  • Learning online
    from anywhere
  • Two-week trial
    period
  • Built to fit
    your schedule

Hands-on training

Hands-on-training

Every new topic is paired with hands-on assignments, discussions and projects guided by our trainers. The culmination - you will apply everything you learned on a data analytics project end-to-end and present it in front of your trainers and fellow learners.

Tailored learning experience

Tailored-learning-experience

Class sizes are up to 35-40 people for the best possible learning experience. Our trainers become your mentors - track your progress, provide feedback and individual support and guide you all the way through.

Learning online from anywhere

Learn-from-anywhere

Enjoy an unparalleled program from the comfort of your home. We transitioned every aspect online to keep the same renowned high-quality, engaging experience and hands-on training. You can attend optional networking events.

Two-week trial period

Two-month-trial

Be 100% confident this is the right training for you, with our thorough candidate selection and two-week trial period. If you drop out in the first two weeks after the program starts, you won’t pay any tuition. Simple as that.

Built to fit your schedule

Built-to-your-schedule

With classes two nights a week, you can balance work or other responsibilities with this Upskill program. Perfectly fitting your busy schedule.

Validated by the industry

Payhawk
Experian
Lufthansa Technik
EGT logo
DevRix
Curriculum

Meticulously designed curriculum

Crafted in collaboration with leading companies, our Upskill Data Analyst program equips you with the skills companies demand.
  • 01Week 1
  • 02Weeks 2-4
  • 03Week 5
  • 04Weeks 6-7
  • 05Weeks 8-9
  • 06Week 10
  • 07Weeks 11-12
  • 08Weeks 13-14
  • 09Week 15
  • 10Graduation

Introduction

  • Learn about the role and the skillset required to be a Data Analyst
  • Get familiar with project-management methodologies in a data analytics project
  • Understand more about modern big-data platforms and the most common data types, file formats and storage systems

Data Fundamentals and Git

  • Build a strong foundation in data management and version control
  • Explore the most common data types and file formats used in analytics
  • Understand how data is stored and managed across different systems — from files and object stores to key-value databases
  • Get an overview of modern data platforms, including data marts, warehouses, lakes, and lakehouses
  • Learn how to use Git for version control, collaboration, and tracking changes in data and code projects

SQL

  • Learn about the foundations of relational database management systems
  • Gain knowledge about basic data modelling (normalized vs. denormalized data)
  • Introduction to Structured Query Language – the most prominent language in data analytics
  • Practice basic and advanced SQL techniques
  • Learn how to use Python to query a relational database with SQL

Vacation

  • One week free of classes to unwind. You'll be able to strengthen your skills further through team assignments

Data visualization with Power BI– Parts I and II

  • Introduction to one of the most prominent professional dashboarding solutions
  • Hands-on exploration of Power BI capabilities to create intuitive and rich visualizations with little to no code
  • Explore the broader visualization ecosystem by learning about other key platforms such as Tableau, Grafana, and Amazon QuickSight, understanding their use cases and differences, even though practical work will focus on Power BI

Data wrangling with Python

  • Learn how to perform exploratory data analysis with the most popular Python libraries – Pandas, NumPy and SciPy
  • Build up your Python skills by coding a complete analytics pipeline – from ingestion to cleaning and insight generation. Work within the Jupyter Notebook environment

Vacation

  • One week free of classes to unwind. You'll be able to strengthen your skills further through team assignments

Statistics

  • Get to know the two most popular methods for conducting a statistical analysis - Descriptive vs Inferential Statistics
  • Analyze dataset(s) and produce the most common visualizations, such as histograms, box plots, quantile-normal plots, scatterplots
  • Learn how to quantify uncertainty and conduct regression analysis with Python
  • Work on real-life examples to generate insights

Time Series 

  • Get an Introduction to time series data and their properties
  • Learn the most common techniques in the data analyst’s toolkit to analyze and forecast time series data

Machine Learning

  • Dive into sci-kit-learn and supervised machine learning
  • Learn about logistics regression and random forests for regression and classification
  • Get to know how common clustering algorithms and dimensionality reduction techniques work

Generative AI for data analytics  

  • Overview of Large Language Models (LLMs), foundation models, and the role of Amazon Bedrock, SageMaker
  • Leveraging Amazon QuickSight Q for natural language queries over analytical datasets
  • Automating SQL and data transformation logic generation from natural language via LLM integration

Career Acceleration & Interview Coaching

  • Experience real-world data analyst interviews led by industry experts. A select few participants are interviewed live, while the entire group gains practical insights from real feedback and scenarios.

Final project presentation 

  • By the end of the program, you will apply everything you learned on a data analytics project end-to-end. Whether your own idea or one inspired by us, you will shape it into a project with a well-defined use case, solid analysis and clear insights. 
  • You will present your project in front of your trainers and fellow learners, mimicking a realistic scenario in which effective presentation skills are necessary to capture your audience

Graduation

Congratulations! You’ve successfully completed the Upskills Data Analyst program.


You will receive a Telerik Academy certificate – widely recognized by employers in Bulgaria.

Your team

Leading industry
experts – your trainers

Learn from the best. You'll be trained by leading practitioners eager to share their know-how and real-world experience.

Lead
trainers

Rosen Rankov
Rosen Rankov
Data & Analytics Manager,
MentorMate
Contributed to the success of:
HP Bulgaria, GeoWealth, Data Cloud Solutions, MentorMate

Rosen brings 10+ years of experience in managing large volumes of data, optimizing databases, creating architectures and migrating to public Cloud providers. He holds Oracle and AWS certificates and has successfully led numerous projects and teams within Fortune 500 companies.

 

Zlatka Staykova
Zlatka Staykova
Data Scientist,
MentorMate
Contributed to the success of:
MentorMate, SabinoDB, Fullbeauty PowerToFly

Zlatka has deep expertise in data mining and a background in experimental high-energy physics. She holds a Ph.D. in Experimental Particle Physics. Transitioning from academia to industry, she applies skills in predictive analytics, data engineering, and machine learning. Her work includes ETL pipeline development, A/B testing, recommendation systems, and automation in e-commerce and business applications. Proficient in Python, SQL, R, and cloud technologies like AWS and Azure, she excels at solving complex data challenges.

 

 

Georgi Mirkov
Georgi Mirkov
Performance Tuning Expert,
MentorMate
Contributed to the success of:
Nexo, Progress, Coca Cola European Partners

Georgi has 10+ years of experience in all aspects of data processing and management and holds multiple Oracle certifications. He joined MentorMate in 2021 as a Senior Data Engineer, responsible for managing, optimizing, and processing our clients' data. 

 

Boyan Stoyanov
Boyan Stoyanov
Senior Data Architect,
MentorMate
Contributed to the success of:
MentorMate

Boyan is a highly-qualified data engineering professional with a rich background in data management, data engineering and automation, Business Intelligence, SQL, and Database performance tuning. He’s worked for large organizations in various industries such as finance, gaming, betting, and science. 

 

Guest
lecturers

Vasil_Petkov
Vasil Petkov
Director, BI & Revenue Systems,
Payhawk
Contributed to the success of:
Progress, Payhawk 
Vasil is a data and business process specialist with over a decade of experience in the field. He is currently responsible for Payhawk's business intelligence and revenue systems. He previously had experience at companies such as Telerik & Progress.
Pavlin Mavrodiev, PhD
Pavlin Mavrodiev, PhD
Full-stack Data Scientist,
UBS, Lecturer
Contributed to the success of:
Scigility, Hyperloop, Propulsion Academy Zurich

With 10+ years of experience, Pavlin Mavrodiev brings extensive expertise from academia to industry. Currently, he is a Senior Principal Data Scientist in Zalando, responsible for customer journey understanding and modelling. Pavlin holds a PhD in modelling complex systems from ETH Zurich and is passionate about teaching and guiding students in their career development.

 

Nikolay Trifonov
Nikolay Trifonov
Director Data Insights Services,
Coca Cola European Partners
Contributed to the success of:
Nexo, Progress, Coca Cola European Partners

Nikolay has more than 15 years of experience in the fields of Business Operations & Analytics, Product Strategy & Delivery in both startup-minded organizations and in multi-national companies. He has a strong passion for solutions that deliver value, for lean and data-driven operations, and for building empowered teams that solve problems.. 

 

Boyan Stoyanov
Panayot Panayotov
Senior Software Engineer,
Epam Systems Bulgaria
Contributed to the success of:
Experian Bulgaria, Move Digital AG, Epam Systems

Panayot is committed to using Machine Learning to solve everyday problems and automate mundane tasks. With a growth mindset and a passion for continuous learning, he enjoys sharing his knowledge to help others enhance their skills.

Panayot has extensive experience as a Senior Machine Learning Engineer, having worked at EPAM Systems and Move Digital AG, where he developed AI functionalities for financial news analysis.

 

Tuition model

Joining Telerik Academy could be your single most important professional decision.

Pay in installments

- 5%

Regular price BGN 203/mo (EUR 103.79/mo)

BGN 193/mo

EUR 99/mo

for 24 months* 
with a bank partner

Early bird price by Nov 30

Apply now

Pay in full

- 5%

Regular price BGN 4,500 (EUR 2,300.81)

BGN 4,275

EUR 2,185.76

full tuition upfront
 

Early bird price by Nov 30

Apply now

Terms tailored
to your needs

  • Early Bird Price: Complete your full application by November 30 with code EB5, and you will get a special Early Bird discount (5%) from your tuition, applicable if you choose monthly payments or full upfront payment.
  • Tuition fee can be paid by either You or Your Employer upfront.
  • Opportunity to pay in installments with a loan from a bank, partner of Telerik Academy - Allianz.
  • Deferred payment over 12-24 months’ period.
  • Candidates working in the NGO sector can apply for a 90% discount off the tuition fee (two per cohort).
  • Drop-out with no consequences up to 2 weeks of the program start.

*Illustrative installment payment method. Different terms may apply based on borrowers’ credit score and creditworthiness as well as the bank’s current offering.

FAQ

Do I need any previous Data Analyst experience?

No, prior Data Analyst experience is not required. The program is designed for professionals passionate about data, those with a problem-solving attitude seeking a career change, individuals with a background in quantitative sectors, junior data analysts looking to advance their skills, and recent university graduates aiming to establish a strong foundation in data analytics. Additionally, companies can enroll employees to upskill and stay competitive in the data-driven era.

 

Can I choose between online and onsite training?

The program will be held online for your ease and flexibility. While the program is online, you can expect high-quality training, engaging learning experience and 100% focus on practice. You will have online lectures 2 times a week.

Please note that attendance is key to our students’ successful graduation. Participants must attend all classes. Up to 3 days of absence are allowed, plus the program has 2 one-week vacations.

How much does the training cost and what are the payment methods?

The tuition fee for Telerik Academy Upskill Data Analyst is BGN 4 500/ EUR 2 300.81. The fee could be either covered by you or your employer. In both cases, the fee is paid via bank transfer prior to the program's start.

Another tuition fee option is to pay in installments with a loan from a bank, partner of Telerik Academy. You can benefit from a deferred payment over 12-24 months’ period.

Do you offer discounts for the NGO (Not-for-profit) sector?

Yes, if you are a candidate working in the NGO sector, you can apply for a 90% discount off the tuition fee (two per cohort).

You must submit your Upskill Data Analyst application and follow the requirements for candidate selection. If you are invited to join the program, your employer will be required to sign a contract with Telerik Academy and cover 10% of the regular tuition fee for the program.

Please note that the candidate selection process evaluates the candidate’s profile, not the NGO’s.

What does the online test include?
The entry test assesses your reasoning skills when facing common data analytics problems, independent of technical implementation. The test also establishes the candidate’s minimum technical knowledge in fundamental data analytics areas, such as databases, SQL and statistics. The deadline to finish the entry test is 5 days after you have submitted your application
What is the candidate selection process?
We use a holistic review process when evaluating applicants for admission. The final selection of candidates is not based on a simple formula of grades and test scores. Instead, we consider a variety of factors: application documents, online data analyst test results, personal motivation for applying, etc.

Some candidates might also be invited to attend an interview to additionally discuss their motivation and aspirations. Interviews focus on candidates’ motivation and aspirations and determine if the program is appropriate for each candidate based on their needs, expectations and experience.
What is the length/cadence of the program? Can I balance it with work or studies?

To get the most out of the program, you’ll need to immerse yourself in it for 3 months. To recharge your batteries, you’ll have 2 weeks of vacation.

With classes 2 nights a week, this most complete hands-on Data Analyst program makes it possible to also balance work or other responsibilities. You can attend optional team consultations with your team and the program's lead trainer. 

What does “two-week trial period” mean?
If you drop out of the program within the trial period, which is in the first 2 weeks of the program, you won't pay any tuition.
Does Telerik Academy help alumni find new jobs after successful graduation?
As this is an Upskill program, it isn’t geared towards connecting learners and businesses. But the skills and experience you gain will help you excel in your career and/or find a new job, just like it helped our alumni reach their career goals.

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