24
Machine Learning and artificial intelligence (AI) is everywhere; if you want to know how companies like Google, Amazon, and even Udemy extract meaning and insights from massive data sets, this data science course will give you the fundamentals you need. Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That's just the average! And it's not just about money - it's interesting work too!
Content is often created to stand on its own, but it can certainly be entertaining, informational, inspiring, and engaging. Content that educates is not limited to manuals and textbooks; other examples include tutorials, how to guides, recipes, product reviews, and step-by-step videos.
If you've got some programming or scripting experience, this course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry - and prepare you for a move into this hot career path. This comprehensive machine learning tutorial includes over 100 lectures spanning 15 hours of video, and most topics include hands-on Python code examples you can use for reference and for practice. I’ll draw on my 9 years of experience at Amazon and IMDb to guide you through what matters, and what doesn’t.
The topics in this course come from an analysis of real requirements in data scientist listings from the biggest tech employers. We'll cover the machine learning, AI, and data mining techniques real employers are looking for, including features:
It was the perfect course I needed actually, since I knew from start that Data Science is not just a practical application but there is also a huge theory thing out there for it. But to dive into theory, you got to know about all the algorithms, their applications first, that's how you start no?
And this course is perfect for that, you will get to know everything algorithm/procedure you need to have to get into a Data Science or Machine Learning career!
Solomon L.
It was the perfect course I needed actually, since I knew from start that Data Science is not just a practical application but there is also a huge theory thing out there for it. But to dive into theory, you got to know about all the algorithms, their applications first, that's how you start no?
And this course is perfect for that, you will get to know everything algorithm/procedure you need to have to get into a Data Science or Machine Learning career!