If you are interested in creating data products and exploring the power of data to turn raw information into valuable insights for business growth, then this training program is what you need.
By participating, you will have an opportunity to acquire/expand your knowledge in four major areas:
The program consists of two stages:
Upon program completion, you may be able to continue your career path according to demonstrated skills and available opportunities at EPAM.
Nice to have:
Please check your profile's mailbox regularly to make sure you get all important notifications.
Stage 1: 3-month journey
SQL for Analysis
Stage 2: 3.5-month journey
Upon program completion, a world of opportunities awaits you! You will be equipped with the skills and knowledge to pursue your career path in alignment with your demonstrated expertise and available opportunities at EPAM.
Insightful video materials:
Look for more tips and useful links for your IT career start in our Telegram channel.
Asset Temergaliyev, Junior Software Engineer at EPAM
"EPAM's Data Analytics & Engineering program exceeded my expectations. Now, as a member of the Data Analytics and Visualization team, I feel confident in my chosen path. The hands-on learning, teamwork and mentor guidance have been invaluable for my professional growth. I highly recommend EPAM's training program for those seeking an exciting and rewarding learning experience."
Dinara Khaydarova, Junior Data Quality Engineer at EPAM
"This course was transformative. I highly recommend it to anyone interested in the field, as it equipped me with invaluable skills and insights that I now use in my work. The hands-on approach and engaging mentors created a positive learning environment. Overall, it was a great experience that boosted my confidence in working with data."
Vyacheslav Kim, Junior Data Quality Engineer at EPAM
"The Data Analytics Engineering program went far beyond what I foresaw, providing an unparalleled learning experience. I gained knowledge in database modeling and developed crucial skills in working with data. Mentors and instructors offered valuable practical advice. Prior to the program, I recommend having basic computer science knowledge and focusing on improving programming skills."
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