Introduction to Statistics by Stanford University – Coursera
Introduction to Statistics by Stanford University ranks 2nd in the list of the best online statistics courses. This course is offered through Coursera. This course focuses on developing excellent core statistical skills so that learners may effectively interact with data and express insights. Descriptive statistics, sampling and randomized controlled experiments, probability, sampling distributions, and the central limit theorem are all covered in this course.
In addition, some critical elements such as regression, a common test of significance, and resampling are thoroughly discussed. Learners will be able to perform data analysis, distinguish between descriptive and prescriptive statistical concepts, deal with data sets, and select appropriate tests for a variety of situations by the end of the course. Learners who want to study advanced statistical analysis and machine learning courses will find the principles presented in this course sufficient.
The curriculum includes:
- Introduction and descriptive statistics for exploring data
- Producing data and sampling
- Probability
- Normal approximation and binomial distribution
- Sampling distributions and central limit theorem
- Regression, confidence intervals, and tests of significance
- Resampling and analysis of categorical data
- One-way analysis of variance (ANOVA) and multiple comparisons
Instructor: Guenther Walther
Level: Beginner
Duration: 15 hours
User Review: 4.6/5
No. of Reviews: 405
Price: Free Enrollment (Additional charges for certification may apply)
Enroll here: coursera.org/learn/stanford-statistics
