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Как начать карьеру в области науки о данных 2021

Как начать карьеру в области науки о данных 2021

Цена: $94.99

Data science jobs are hyper-competitive. На каждую позицию, there are multiple other highly qualified candidates eyeing the same role.

It is like you are all competing for a $100,000+ prize.

If you frame it this way, wouldn’t you want to go the extra mile?

By taking this course, you will be doing just that. You will learn valuable information that can give you a much-needed edge over other candidates.

What better way to approach data science job hunting than learning from the experience of someone who is an actual data scientist and has recruited data scientists for his team?

Ken Jee, your instructor for this course, is one of the most popular YouTubers focusing on data science. Over 70k people follow his YouTube channel. He has worked for several companies: consulting (Scouts Consulting Group), start-ups (GoHealth), and conglomerates like GE. В этом курсе, he will be your private tutor offering a structured approach to landing a data science career.

Ken will share invaluable insights leveraging his personal experience. Вы узнаете, как:

Create your data science project portfolio

Build your resume

Get an interview through Networking

Succeed during the phone interview

Solve the take home test

Ace the behavioral and technical questions

Дополнительно, Ken has prepared several mock-interviews and 1-on-1 conversations with people who have successfully landed data science positions. These allow you to get an inside-look into the mind of successful candidates so you can see how the interview process really works. These interviews are not available elsewhere and act as an invaluable shortcut to a career in data science.

The course offers you resume templates, downloadable materials, some exciting infographics, as well as a section on how to optimize your LinkedIn, Github, and Kaggle profiles for recruitment purposes.

Taking this course can be a crucial step for your future career. No need to think twice. Start your journey towards a data science career today!

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