Ronald Rogers
Instructor
Intro to Inferential Statistics
Intro to Inferential Statistics will teach you how to test your hypotheses and begin to make predictions based on statistical results drawn from data!
- Course
- Intermediate
- 4.4 (40)
- Updated: Mar 4, 2022
Free Course
Intro to Inferential Statistics
Skills you'll learn
1 skill
- Linear regression
Prerequisites
0 prerequisites
No prior technical experience required.
You will need to be able to communicate fluently and professionally in written and spoken English.
Course Outline
- 23 lessons
Program Instructors
3 instructors
Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:
Katie Kormanik
Instructor
Sean Laraway
Instructor
Ronald Rogers
Instructor
Katie Kormanik
Instructor
Sean Laraway
Instructor
Reviews
Average Rating: 4.4 (40 Reviews)
A complete and comprehensive intro to ML
I
Iraklis K
Mar 8, 2026
The course is "ML with Pytorch" implying there would be algorithms implementing in supervised and unsupervised ML models as well a neural network using Pytorch, which could be interesting.. But it just rehashes material using scikit-learn from other nanodegrees. And even the course on neural networks is material all cribbed from the "AI programming with Python" nanodegree. Just a way to recombine existing material to sell another product.
K
Karen F
Jan 12, 2026
everything were explained very well
a
abdulrahman a.
Jul 19, 2022
Decent.
O
Omer A.
Apr 27, 2022
Good , yes Definitely but would need more time to understand the concepts in details. Because we are learning a lot of concepts
N
Narendhra Kumar M.
Mar 11, 2022
Free Course
Intro to Inferential Statistics