We’re living in the era of large amounts of data, powerful computers, and artificial intelligence. This is just the beginning. Data science and machine learning are driving image recognition, autonomous vehicle development, decisions in the financial and energy sectors, advances in medicine, the rise of social networks, and more. Linear regression is an important part of this.

Linear regression is one of the fundamental statistical and machine learning techniques. Whether you want to do statistics, machine learning, or scientific computing, there’s a good chance that you’ll need it. It’s advisable to learn it first and then proceed toward more complex methods.

**In this video course, you’ll learn:**

- What linear regression is
- What linear regression is used for
- How linear regression works
- How to implement linear regression in Python, step by step

**What’s Included:**

- 9 Lessons
- Video Subtitles and Full Transcript
- 2 Downloadable Resources
- Accompanying Text-Based Tutorial
- Q&A With Python Experts: Ask a Question
- Certificate of Completion

**Downloadable Resources:**

**Related Learning Paths:**