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Serbia
Data Science
Striving to gain market-oriented knowledge and skills to jumpstart your career in IT? Apply for this program and shape your professional path with EPAM experts.
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Pricing
Free
Program start
3 November
Type
Training
Language
English
Duration
34 weeks
Format
Online
Level
Fundamentals
Details

If you are eager to thrive in the data-driven world and master one of the most trending professions, then this expert-led program is what you need.

For three months of intensive learning, you will explore self-study materials, complete tasks, and engage with mentors at Q&A sessions.


By participating, you will have the opportunity to:

  • Gain a strong foundation in software engineering
  • Dive deep into statistics and data analysis
  • Learn regression, classification and clustering techniques
  • Explore deep learning and neural network basics


If you show good results and successfully pass a technical interview, you can join the next stage and immerse into one of the mentoring programs: Computer Vision, Natural Language Processing, ML Engineering, Time Series or Recommendation Systems.

Training process

The program consists of two stages:

  • The first one lasts 3 months and requires ~12 hours of weekly engagement. You will explore self-study materials, complete assigned tasks and discuss your questions with our mentors at regular weekly Q&A sessions.
  • If you show good results in the first stage and successfully pass a technical interview, we will invite you to the next stage. It usually lasts 3.5 months and requires ~20 hours of weekly engagement. You will join one of the proposed mentoring programs: Computer Vision, Natural Language Processing, ML Engineering, Time Series or Recommendation Systems.


Registration end date: 4 October 2024


Exam date: 14 October 2024

Actual training start date: 4 November 2024


Upon program completion, you can continue your career path according to demonstrated skills and available opportunities at EPAM.

What is required for training:
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  • English level B2 (Upper-Intermediate) or higher
  • Serbian level C1 (Advanced) level and higher 
  • Proficiency in mathematical analysis (main topics of derivatives, integrals, extrema of functions in multidimensional real space)
  • Skills in linear algebra (vectors, matrices, tensors, linear equations, eigenvalues and eigenvectors, quadratic forms)
  • Knowledge of probability theory (definition of probability, conditional probability, Bayes theorem, expectation)
  • Command of statistics (basic concepts, hypothesis testing, concept of likelihood, estimation of distribution parameter)
  • Understanding of basic optimization concepts and methods (stationary points, Lagrange multipliers, gradient descent)
  • Knowledge of data structures and algorithms (sorting algorithms, algorithm complexity)
  • Knowledge of Python with fundamentals of numpy and pandas in particular
How to get started?
  1. Register on this page. Once you fill in all the required fields and attach the CV, you will find the confirmation with more details in your mailbox or notifications tab.
  2. Specify your interest in this program in your profile's "Additional information" section. Please indicate the reasons for choosing this training and your expectations.
  3. Take an English test available in your profile. You should complete it within 3 days after the registration and reach the B2 English level result or higher to proceed.
  4. Pass an entry technical test available in the "My enrollments" section. You should take it within 3 days after the registration and reach a minimum score of 60% upon completing two parts of the test.
  5. Communicate with a recruiter by phone. We will contact you within 1-3 weeks after you pass all tests to ask some general questions and guide you through the next steps.
  6. Pass an online technical exam in October. The date and time will be the same for all participants and be provided to you in a separate email.
  7. Receive an invitation to the program. We will inform you of the enrollment results and share further instructions for your learning journey during 1-2 weeks after the technical exam.
  8. Please check your profile's mailbox regularly to make sure you get all important notifications.
What will you learn?
Stage 1 (3 months with ~12 hours/week)
Stage 2 (3,5 months with ~20 hours/week)
Useful links
What do we offer?
  • Education within an IT company. As a leading software engineering company, we will help you explore emerging technologies and best practices, ensuring you are equipped with the knowledge that the current market seeks.
  • Top-notch learning materials. Our curriculum is designed by Data Scientists with extensive project experience and tested in hundreds of training runs.
  • Practice-oriented approach. This comprehensive program focuses on providing you with hands-on experience and practical application of the concepts learned.
  • Deep dive into the specialization. Our graduates become highly skilled specialists ready to face complex technical challenges and work with the world's leading customers.
  • Support from experienced mentors. We will guide you at all training stages, covering your open questions and sharing feedback on assigned tasks.
Please read this info before registration:
  • This training is for people residing in Serbia and have access to local labor market.
  • Only those who have completed their university studies or are in their final year and have a mathematical background can apply for this training process.
  • The program start date may change, so the selection period may be adjusted accordingly. Please regularly check for updates on this page and via email.
  • This external course is not available for current participants of EPAM Campus and EPAM employees. Feel free to contact your Training Coordinator or Resource Manager regarding other opportunities.
  • Considering the limited number of places in the group for this program, the selection results will be decisive factors for being enrolled.
Data Science
3 November · 34 weeks
Training · Online
English
Fundamentals
Serbia
Free
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Have any questions? Contact us

Dunja Jankovic
[email protected]
Data Science
Data Science is a promising IT area that lies at the intersection of math, statistics, programming and domain expertise and helps get valuable data insights.
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