95% off Data Science, Deep Learning, & Machine Learning with Python (Coupon)

Data Science, Deep Learning, & Machine Learning with Python - Udemy Coupon

Get Discount


Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

Coupon & course info

Course Name: Data Science, Deep Learning, & Machine Learning with Python

Subtitle: Go hands-on with the latest neural network, artificial intelligence, and data science techniques employers are seeking!

Instructor: Taught by Sundog Education by Frank Kane, Training the World in Big Data and Machine Learning

Category: Development

Subcategory: Development

Provided by: Udemy

Price: $160 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of October 20, 2017…

Students: 40,312 students enrolled students enrolled

Ratings: 5951 reviews

Rank: ranked #53 in Udemy Development Courses

Brief course description

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!

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 course includes over 80 lectures spanning 12 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.

Each concept is introduced in plain English, avoiding confusing mathematical notation and jargon. It’s then demonstrated using Python code you can experiment with and build upon, along with notes you can keep for future reference. You won’t find academic, deeply mathematical coverage of these algorithms in this course – the focus is on practical understanding and application of them. At the end, you’ll be given a final project to apply what you’ve learned!

(Read more about this course on the official course page.)

Sundog Education by Frank Kane bio

Sundog Education’s mission is to make highly valuable career skills in big data, data science, and machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you, at prices anyone can afford.

(Learn more about this instructor on the official course page.)

Recommended courses

If you like this course, you might also be interested in:


1. iOS 9 and Swift 2: From Beginner to Paid Professional™

The BEST online iOS 9 Swift 2 course online. Lets learn iOS 9 & Swift 2

Taught by Mark Price, Unity 3D Android iOS 10 Swift 3 & React Teacher


2. Python for Financial Analysis and Algorithmic Trading

Learn numpy , pandas , matplotlib , quantopian , finance , and more for algorithmic trading with Python!

Taught by Jose Portilla, Data Scientist


3. Android O & Java – Mobile App Development | Beginning to End

The complete Android course with Android Studio & Java. Go from beginner to professional app developer.

Taught by Mr Philipp Muellauer, Android Developer | Teacher | Tech Enthusiast


4. Docker Technologies for DevOps and Developers

Learn how to develop and deploy web applications with Docker technologies. Take your DevOps skills to the next level.

Taught by Tao W., Software engineer


5. PHP for Beginners – Become a PHP Master – CMS Project

PHP for Beginners: learn everything you need to become a professional PHP developer with practical exercises & projects.

Taught by Edwin Diaz, Web Developer & Premium Udemy Instructor – 160,000 students

Final details for this Udemy course

Languages: English

Skill level: Beginner Level

Lectures: 90 lessons

Duration: 12 hours of video

What you get: Develop using iPython notebooks

Target audience: Software developers or programmers who want to transition into the lucrative data science career path will learn a lot from this course.

Requirements: You’ll need a desktop computer (Windows, Mac, or Linux) capable of running Enthought Canopy 1.6.2 or newer. The course will walk you through installing the necessary free software.

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons