Georgia
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.
Pricing
Free
Program start
November
Type
Training
Language
English
Duration
30 weeks
Format
Online
Level
Fundamentals
Details
If you are curious about how you can connect your strong math skills with programming and pave your way in the data-driven world, then this program is for you.
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 the basics of deep learning and neural networks
- Join one of our mentoring programs in specialized Data Science domains
After successfully completing all program stages, you will gain market-oriented soft and hard skills, which you may further apply at EPAM or elsewhere in the IT industry.
Data Science
Data Science is an interdisciplinary field that uses math, programming and advanced analytical methods to understand, predict and generate actionable insights from data.
What do we offer?
- Industry-based education. As a leading software engineering company, we will help you explore emerging technologies and best practices that the market demands.
- Top-notch learning materials. Our Data Science specialists with extensive project experience have designed and tested the educational content in numerous 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 clients.
- Support from experienced mentors. We will guide you at all training stages, covering your open questions and sharing feedback on assigned tasks.
- Career advancement. Upon successful completion of both fundamentals and specialization stages, we will consider you for open positions based on your demonstrated skills and available opportunities at EPAM.
Training process
The program is designed to guide you through two engaging stages:
Stage 1: Fundamentals (3 months with ~12 hours per week)
In this stage, you'll build a strong foundation in Data Science. Here's what to expect:
- Weekly learning. Explore video lessons and self-study materials, then practice through tasks and tests – all within set deadlines to ensure steady progress.
- Mentor guidance. Submit your weekly practical assignments for feedback and approval from expert mentors.
- Interactive support. Join weekly group Q&A sessions with professionals to discuss questions and deepen your understanding.
Perform well to pass the technical interview and advance to the next level!
Stage 2: Specialization (3.5 months with ~20 hours per week)
This stage is all about taking your skills to the advanced level with a more intensive approach. You will join one of the proposed mentoring programs:
- Computer Vision
- Natural Language Processing
- Machine Learning Engineering
- Time Series
- Recommendation Systems
By the end, you'll acquire job-ready skills to tackle real-world data challenges confidently.
What is required for training:
General requirements:
- Citizens of Georgia and permanent residents who are eligible to work in this country
- Second-to-last or final year university students and recent graduates
- Individuals aged 18 years and older
Skills requirements:
- English level B2 (Upper-Intermediate) or 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)
- Familiarity with Python fundamentals (NumPy and Pandas in particular)
How to get started?
- Register on this page. Once you fill in all the required fields and attach your CV, you will find the confirmation with more details in your mailbox and notifications tab.
- Take the English test available in your account's "My enrollments" section. You should complete it within 5 days of registration and reach the B2 level result or higher to proceed.
- Pass the entry technical test available in your account's "My enrollments" section. You should take it within 5 days of registration and reach a minimum score of 60% upon completing two parts of the test (preparation materials are below).
- Have a phone interview with a recruiter. We will contact you within 1-3 weeks after you pass all the tests to verify your background, English proficiency level and mastery of the required technical skills.
- Pass an online final technical assessment on October 21. We will schedule it for a specific time, which will be the same for all participants, and provide it to you in a separate email.
- Receive an invitation to the program. We will share final enrollment results and further instructions for your learning journey within 1-2 weeks after the technical assessment.
Please check your profile's mailbox regularly to make sure you get all important notifications.
What will you learn?
Stage 1: Fundamentals (3 months with ~12 hours/week)
Stage 2: Specialization (3.5 months with ~20 hours/week)
Important notice
- Registration, assessment and program start dates may change. Check for updates on this page and via email.
- Due to the limited number of spots in this program's group, selection results will determine enrollment, with applicants who have the highest scores being processed first.
- We strive to keep the registration and testing process fair for everyone. If we notice any cheating, we will have to reject your application.
- If you are interested in applying while enrolled in another EPAM Campus program, please discuss it with your training coordinator first.
Useful links
Recommended programs
EPAM Campus provides training programs for various data specializations. Choose the one that fits you the most and apply today:
- Data Analytics Engineering is for those keen to lift massive amounts of data and transform it into actionable insights. It involves collecting, processing, analyzing, ensuring quality and visualizing data, which results in more facilitated business decision-making.
- Data Science is for math and programming enthusiasts willing to create algorithms that predict future trends and behaviors. It uses advanced analytics and machine learning to find patterns and provide insights for business growth.
- Data Software Engineering is for aspiring software engineers passionate about data and scalable systems. This track focuses on building high-performance data platforms and pipelines for large-scale processing, integration and storage. It involves developing back-end components, automating data workflows, ensuring reliability and working with cloud-native and big data technologies.