you want to switch to a data science career
but don't know which courses to choose
because it looks like no online course is complete
and you're not sure it will be worth your time
you have trouble bringing your knowledge together
all the buzzwords leave you feeling overwhelmed
even though you study hard you don't feel solid progress
you need a way to guide your efforts and stay in focus
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This is a start-to-finish guided project course.
As you go through the course, you build a data science project and at the end of the course, you will have a portfolio-worthy project to share with the world, already on your GitHub account, all ready to present!
This course is prepared to act as a guide to aspiring data scientists during the first steps of their journey.
The goal of the course is to help you identify clear goals and stay focused when learning data science. There are three modules in the course:
“Straight to the point and short but very meaningful. It definitely guides me in a better direction.”
“It gave me an insight of what a data scientist is. You have inspired me with the data science knowledge...thanks a lot!”
“The whole course covers the proper guideline for a data scientist. Each and everything was important to me.”
“Organized info about getting into data science in a way I have not seen before!”
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When changing careers into data science, if you have years of work experience, it's only fair to expect a higher position than junior data scientist. In order to achieve it, you need to approach your job hunt differently than newly grads. Here are some tips for signalling to your future employer that you will bring value.
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It's not easy to choose courses. There are many courses offering different sets of knowledge and nearly all claiming that they are the best course. In this article, I will share my opinions on the popular data science courses and books and recommend ways of studying data science using these resources.
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There is a group of people who seem to give off only negative messages about becoming a data scientist. I call them the data science elitists. In this article, I want to show you how you can have your shield up against negativity on your way to becoming a data scientist.
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