June 11 starts work SkillFactory schools. SkillFactory specialists have developed a special comprehensive program that will allow you to get everything you need to successfully start a career in Data Science from scratch.
The undeniable advantages of studying at SkillFactory compared to free online courses are a well-thought-out program, as well as a focus on practice, teacher assistance and group support.
Training is carried out according to the principle “one lesson = one task”. You will have the opportunity to go through all the stages of the course together with data scientists with experience in leading domestic and foreign companies.
Each lesson will be held in a special Jupyter notebook, which will remain with you after the completion of the training, and which will help in the implementation of your own projects after the end of the course (up to the point that you can take ready-made working "pieces" of code).
Faced with a problem during the course of an assignment, you can always get help and advice from classmates and a teacher in a closed community in Slack.
For learning, you will need a desire to gain new knowledge and a laptop with Python installed (you will be assisted in installation). It should be borne in mind that training will take about 6-8 hours per week, but in the end you will be able to go from the point “I don’t know anything” to the point “I solve problems in the field of Data Science and I know where to apply it and how to develop further.
After completing each stage (course) of training within the framework of the Data Science specialization program, you will have an exam or team competition in which you can apply all the acquired skills and demonstrate the progress made.
It should also be noted that the SkillFactory School provides employment assistance to course graduates by providing internship opportunities in partner companies and closed vacancies for program graduates.
You can get the program of the annual course in Data Science and sign up for training at this .
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Source: 3dnews.ru