Indrė Montvilaitė
Lead of Data Analytics
Data Scientist at Swedbank
Our mentors bring first-hand experience from companies and universities such as:
The companies and institutions mentioned have no institutional affiliation or official partnership with Turing College.
“Aside from giving access to all of the skills required to get started in the data sector, Turing College also provides quick community assistance and valuable real-world insights from professionals in the field.”
Karolis Grybauskas
Data analytics alumni
Take the next step in your analytics career
Our program is designed to provide you with the skills, experience, and confidence you need to succeed in data analytics.
What can you expect?
Learn by doing:
Complete up to 20 real-life data analytics projects, each reviewed by a seasoned data analyst who will provide personalized feedback.
Learn the tools and languages
you need to kick off your analyst career:
- Excel/Google Sheets
- SQL (BigQuery)
- Tableau/Power BI
- PowerPoint/Google Slides
- Python
- Git
Choose from two in demand specializations:
- Product analytics
- Marketing analytics
Become job-ready
and get a certificate to prove it.
Program outline
Our program, created by senior data analysts, is focused on helping you get hired and apply your skills from day one after graduation.
01Core data analyst toolkit
01Core data analyst toolkit
Learn the skills and tools essential for data analytics. First, you’ll understand how to approach data analysis in a structured way, collect and interpret data, identify relevant patterns, and perform basic data visualization. Then, you’ll master the use of spreadsheets and SQL, which are the core tools for this profession.
02Communicating analysis results
02Communicating analysis results
Turn your data insights into compelling stories that inform and persuade your audience. You’ll be able to choose between Power BI and Tableau as a BI tool to create interactive dashboards that showcase your data analysis. You’ll also learn how to deliver engaging presentations highlighting your key findings, tailor your message to different audiences, use body language to enhance your communication, and select the best visualizations for your data.
03Main analysis types
03Main analysis types
In this module, we’ll look at the main analysis types as they relate to four different fields: customer behavior, e-commerce, customer value, and modeling. This will cover analysis types such as retention, cohorts, RFM, CLV, funnel, A/B testing, linear and logistic regression models, and more. These techniques will allow your analysis and insights to be robust and data-driven.
04Python for data analytics
04Python for data analytics
In this module, we'll take you on a journey through Python, even if you have no prior experience with Python or coding. Through hands-on projects and real-world examples, you'll gain the skills to tackle complex data challenges. From mastering the fundamentals of programming to working with libraries like Pandas, you'll learn how to process, analyze, and visualize data in ways that drive meaningful insights.
05Optional modules
05Optional modules
Tailor your learning journey to align with your specific goals and interests. Enhance the core curriculum by exploring specializations such as product or marketing analytics. Boost your job search prospects by completing an optional capstone project. Here, you’ll create a distinctive portfolio piece that showcases your acquired knowledge.
Graduate in 10 months or less: you set the pace
With our program, you have the power to set your own pace. By dedicating 15 hours of focused learning per week, you can graduate in 10 months. The more hours you can dedicate to learning, the faster you’ll graduate.
Build a portfolio that proves your skills to employers
The best way to learn data analytics is through hands-on experience with real data. That’s why you’ll complete 20 projects and one capstone project and build an interview-ready portfolio you can proudly show to potential employers.
While working on your capstone project, you will:
- Choose a data set and conduct an end-to-end analysis
- Synthesize insights and create a presentation
- Present your findings 1-on-1 to a senior team lead
Examples of projects
Identifying trends of marketing campaigns on an e-commerce site.
Creating an interactive dashboard to track daily payment data.
Analyzing and effectively presenting findings based on how long it takes users to make purchases on your website.
Learn from experts who are 100% up‑to‑date with the industry trends
Kickstart your new career
We don’t make empty job promises. Instead, we focus on what actually works: real-world skills, personalized career support, and a strong portfolio that shows employers what you can do.
- HR and technical mock interviews
- CV and LinkedIn optimization
- Live career sessions
A unique learning experience powered by technology
Online learning is tough when you’re left on your own. That’s why we built Intra, our learning platform that combines the best of both worlds: human support and smart structure. We’re also developing adaptive AI features to further personalize learning so that, in the future, your journey will adjust closely to your pace, needs, and progress.
97%*
Employment rate
40+
Learner nationalities
1000+
Active students
*Job-qualified graduates received an offer and were employed within 6 months of graduation.
How admissions works
Our application process has two simple steps designed to help you and our team understand whether the program is the right next step for you.
- 1
Application
Tell us about your background and answer two short questions about your motivation and goals. Your application goes straight to our admissions team, who review it personally and get back to you within 24 hours on working days. - 2
Consultation
If the program matches your goals, we’ll invite you to a 20-30 minute consultation. This is your chance to ask anything, understand exactly how the program works, check your financing options, and decide whether it’s the right fit for you.
Basic admission requirements:
15-30 focused hours/week
15-30 focused hours/week
Focused hours are:
- · Working on a computer (not a smartphone)
- · Uninterrupted working time in a dedicated space
- · Rested, not overworked (not after intense cognitive work)
Strong motivation
Strong motivation
You need a clear and strong reason for joining this program. It should be your personal goal, and you should have specific reasons for wanting to improve your skills.
Good English skills
Good English skills
You must demonstrate an English proficiency of at least B2 level to join the program.
Up-to-date computer
Up-to-date computer
You'll need a computer that can handle large datasets smoothly and runs an actively supported and updated operating system.
Flexible financing options
Upfront payment
Best for
Learners who want the lowest total price by paying upfront
Course duration
Flexible, 6-10 months
Time commitment
15+ h per week
Price
€5,400Save 17%
30-day money-back guaranteeInstallments
Best for
Learners who prefer to split self-payment into monthly installments
Course duration
Flexible, 6-10 months
Time commitment
15+ h per week
Price
€540x 12 months0% INTEREST
30-day money-back guarantee50% scholarship
Best for
Top 5% high-potential learners
Course duration
Flexible, 6-10 months
Time commitment
15+ h per week, special conditions may apply
Price
€270x 12 months0% INTEREST
30-day money-back guaranteeWe have limited seats. Apply now!
Starting dates
August 24th
Deadline for applications: 2026-08-17
Our graduates have achieved life changing growth. You can too.
Turing College has been a great experience. I loved the structure and content of the material. I had constant contact with instructors and peer learners. I find the peer and senior review concept really efficient.
Kata Hernádi
Delegation Team Coordinator @ Siemens Energy
FAQ
How likely am I to get the EU resident scholarship?
How likely am I to get the EU resident scholarship?
Your chances of receiving the scholarship depends on several factors:
Residency. You must live in the European Union.
Performance in the interview. You need to demonstrate a strong drive to learn and grow, both during the program and in your future career.
Commitment. You should have a clear intention to work full-time in a related industry after completing the program. You also have to be able to dedicate at least 20 hours per week to your studies.
Competition. The scholarship is awarded to the top 5% of applicants. Your chances of receiving the scholarship will depend on the performance of other applicants in the interview process.
If you meet the residency requirement, showcase your potential and commitment during the interview, and rank among the top 5% of applicants, you will have a good chance of receiving the scholarship. However, please keep in mind that the competition is really high.
What salary can I expect after graduating?
What salary can I expect after graduating?
The salary you can expect after completing our program depends on a few key factors:
Location. For example, salaries for the same position tend to be higher in Silicon Valley compared to Lithuania due to differences in cost of living, demand, and other factors.
The position you’re aiming for. It's all about aligning your skills and experience with the role you're seeking.
Your experience and skills. The more you can showcase your value, the better your chances of securing a competitive salary.
Interview performance and negotiation skills. How you perform and answer interview questions can influence the initial offer you receive. Plus, your final salary will also depend on how well you navigate the negotiation process after the interview.
Salaries in Europe and elsewhere
If you’re interested in working in another European country, we recommend starting with Glassdoor’s base pay calculator. Choose the relevant country or city to get an idea of the salary range for your desired position.
Keep in mind that base pay estimates can be off by up to 20% because they average out junior, mid, and senior positions. Despite this margin of error, these estimates can still help you identify reasonable offers. Aim for a salary close to the base pay level and don’t feel pressured to accept offers that fall more than 20% below the base salary in a particular country.
How does Turing College help me get a job?
How does Turing College help me get a job?
We're not just here to teach you the skills you need to succeed – we're also committed to helping you launch your career and secure your dream job! Here are three ways we support our learners:
Endorsement. Our endorsement program is designed to give you a real-world experience of the hiring process from start to finish. We'll guide you through optimizing your LinkedIn profile, structuring your GitHub projects, getting interview questions right, and applying for jobs in a systematic way.
Referrals to hiring partners. Once you’re endorsed by Turing College, we’ll recommend you to our hiring partners, who are always on the lookout for talented specialists.
Referrals from our network. Our mentors come from companies like Tesla, Google, IBM, and Vinted. When they see your skills and potential, they can refer you directly to their companies. In most cases, a referral from them is your ticket straight to the interview stage.
What if I haven’t heard from Turing College within 24 hours of applying?
What if I haven’t heard from Turing College within 24 hours of applying?
If it's been more than 24 hours since you submitted your application and you haven't received a response from us, here's what you can do:
Check your spam/promotions folder. Sometimes our emails can get lost, so take a look to see if our message ended up there by mistake.
Reach out to us via live chat. You’re already on our website, so click on the chat button at the lower right-hand corner of your screen. Our friendly team is always ready to help you out and make sure your application gets the attention it deserves.
In what cases can I lose my scholarship, and do I need to pay it back?
In what cases can I lose my scholarship, and do I need to pay it back?
Our scholarship terms are designed to attract dedicated learners who are passionate about careers in data analytics. To keep your scholarship, here are a few things to keep in mind:
1. Job search and hiring conditions:
a. During your studies and for one month after you graduate, you’ll need to inform Turing College before applying to any company (including our hiring partners). This way, we can give you personalized advice and support to help you find the perfect opportunity. One month after graduation, you’re free to apply anywhere without checking with us.
b. If one of our hiring partners offers you a job that meets your expectations (we'll provide you with the salary range beforehand), we expect you to accept it unless you have a good reason not to. An example of a good reason would be you accepting another offer from a hiring partner or some unexpected requirements like relocation being added to the offer.
2. Keeping up with your learning pace:
For you to graduate from Turing College in a reasonable timeframe, we define a minimum learning pace requirement. We have seen that only by maintaining a consistent pace can students successfully graduate from Turing College. The minimum learning speed for students who receive a 100% scholarship are as follows:
For our Data Science program, your average learning speed should not be slower than completing a sprint in 3-4 weeks on average. This equates to finishing 3 modules in 9-11 months;
For our Data Analytics program, you should complete 4 modules in 8-10 months.
For our Digital Marketing & Analytics program, your graduation is expected within 6-10 months.
Violating one of these conditions will lead to termination of your scholarship. If a scholarship is terminated, you will need to return the full amount of the scholarship you have received. We implement these scholarship terms to ensure we attract students who are serious about pursuing careers in a related field to their program.
How likely am I to get a full scholarship?
How likely am I to get a full scholarship?
Your chances of receiving a full scholarship depend on several factors:
Motivation: You need to show strong motivation to create AI-driven solutions, either within your company or as part of your own startup.
Commitment: You must have a clear intention to work full-time in the tech field or create your own startup after completing the program. Additionally, you need to dedicate at least 15 hours per week to your studies.
Competition: Scholarships are awarded to the top 20 candidates. Your chances depend on how many applications we receive and how your performance in the interview compares to others.
Next group starts on June 22nd