Learn from real datasets and practice building complete data pipelines
A creative atmosphere and close collaboration with Data Science experts awaits you. Time flies in the classroom!
A comprehensive system that will help you get profitable offers in promising projects
Who is the program for?
For those who want to make a career in Machine Learning from scratch!
- Master Python for Data Science
- Recall math and learn how to use it to work with models
- What kind of results will you get?
- Training consists of 2 steps and additional AWS Intensive
- Be able to build basic machine learning models
Create machine learning models using basic and advanced ML techniques
Be able to perform a full range of tasks: from preparing a dataset to analyzing the results and preparing for production
Ready to solve practical machine learning problems
Have a portfolio of project work
Employment
We provide career support throughout your training and six months after graduation.
Get help with your resume, portfolio, and cover letter
Have a career consultation with our HR specialist
Post your resume on OTUS and be invited to interviews by our partners.
Teachers will lead a class on how to find a job in Data Science and give tips on how to get an interview
Active Community
Two sessions of two academic hours per week
Homework assignments with feedback plus project work that will strengthen your portfolio
Interact with instructors by voice in webinars and Slack groups
Training Format
A mentor is assigned to you at the beginning of the training. Like the instructors, mentors are experts in Data Science
You do your homework once a week and set up a call with your mentor
The mentor gets acquainted with your work in advance, so that by the meeting he already knows what to pay attention to. You can have your questions ready, too.
At the session your mentor will comment on your decision. You can make changes if you want, and see the results.
The faculty members work with mentors to create a seamless learning experience
Project work
Each stage culminates in a final project to be defended in front of a team of teachers. Practical experience and a portfolio of projects will help you impress at your interview.
You can choose one of the topics suggested by the teacher or implement your own idea.