Coupon & course info
Course Name: Deep Learning Prerequisites: Linear Regression in Python
Subtitle: Data science: Learn linear regression from scratch and build your own working program in Python for data analysis.
Instructor: Taught by Justin C, Data scientist and big data engineer
Subcategory: Math & Science
Provided by: Udemy
Price: $30 (before discount)
Free coupon code: See above (no charge for coupon)
Review info & popularity
As of July 20, 2016…
Students: 3009 students enrolled
Ratings: 115 reviews
Rank: ranked #10 in Udemy Academics Courses
Brief course description
This course teaches you about one popular technique used in machine learning, data science and statistics: linear regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own linear regression module in Python.
This course does not require any external materials. Everything needed (Python, and some Python libraries) can be obtained for free.
If you are a programmer and you want to enhance your coding abilities by learning about data science, then this course is for you. If you have a technical or mathematical background, and you want to know how to apply your skills as a software engineer or “hacker”, this course may be useful.
(Read more about this course on the official course page.)
Justin C bio
I am a data scientist, big data engineer, and full stack software engineer.
(Learn more about this instructor on the official course page.)
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Final details for this Udemy course
Skill level: All Levels
Lectures: 19 lessons
Duration: 2 hours of video
What you get: Derive and solve a linear regression model, and apply it appropriately to data science problems
Target audience: People who are interested in data science, machine learning, statistics and artificial intelligence
Requirements: How to take a derivative using calculus
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