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Machine Learning for Aspiring Data Scientists: Zero to Hero
Learn the foundations of machine learning to get a job in data science. No coding experience required.
This Course Includes
udemy
4.6 (63 reviews )
16 total hours 
english
Online - Self Paced
course
Udemy
About Machine Learning for Aspiring Data Scientists: Zero to Hero
This course will teach you the foundations of machine learning. The content was especially designed to help you pass machine learning interviews for data science jobs.
The course will help you:
Pass job interviews and technical quizzes
Avoid rookie mistakes that waste companies' time and money
Be prepared for real work.
Important stuff about this course:
You won't spend hours learning stuff that never comes up in a job interview.
Total beginners are welcome; coding experience or advanced math knowledge are not required.
It was designed by an industry expert who's been on the hiring side of the table and knows what companies are looking for.
This course will be of great help if you are:
A student who wants to prepare for work in data science after graduating.
An established professional or academic who wants to switch careers to data science.
A total beginner who wants to dabble in machine learning and data science for the first time.
How is this different from an academic course or a bootcamp?
In academic courses, your teacher spends hours speaking about calculus and linear algebra, but then none of that comes up in a job interview! That in-depth knowledge certainly has a place but is not what most companies are looking for.
In bootcamps you tend to learn how to use many tools but not how they work under the hood. This black-box knowledge is what companies want to avoid the most in applicants!
This course sits in between—you gain foundational knowledge and truly understand machine learning, without spending time on unimportant stuff.
What You Will Learn?
- Undertand the foundations of machine learning even if you're a total beginner.
- Be able to pass the typical machine learning interviews for data science jobs.
- Avoid rookie mistakes that waste companies' time and money.
- Learn machine learning without spending time on mathematical proofs and outdated methods that don't come up in interviews or work..
- Build machine learning models with Python and Scikit-Learn.
- Understand linear regression, neural networks, random forest, gradient boosting, support vector machines.