About this Course
Stanford’s “Introduction to Statistics” teaches you statistical pondering ideas which can be important for studying from knowledge and speaking insights. By the tip of the course, it is possible for you to to carry out exploratory knowledge evaluation, perceive key rules of sampling, and choose acceptable exams of significance for a number of contexts. You’ll acquire the foundational expertise that put together you to pursue extra superior subjects in statistical pondering and machine studying.
Subjects embrace Descriptive Statistics, Sampling and Randomized Managed Experiments, Likelihood, Sampling Distributions and the Central Restrict Theorem, Regression, Frequent Checks of Significance, Resampling, A number of Comparisons.
Syllabus – What you’ll study from this course
2 hours to finish
Introduction and Descriptive Statistics for Exploring Information
This module supplies an outline of the course and a assessment of the primary instruments utilized in descriptive statistics to visualise info.
1 hour to finish
Producing Information and Sampling
On this module, you’ll take a look at the primary ideas for sampling and designing experiments. You’ll find out about curious pitfalls and find out how to consider the effectiveness of such experiments.
1 hour to finish
Likelihood
On this module, you’ll study in regards to the definition of likelihood and the important guidelines of likelihood that you will want for fixing each easy and sophisticated challenges. Additionally, you will find out about examples of how easy guidelines of likelihood are used to create options for real-life complicated conditions.
1 hour to finish
Regular Approximation and Binomial Distribution
This module covers the empirical rule and regular approximation for knowledge, a way that’s utilized in many statistical procedures. Additionally, you will study in regards to the binomial distribution and the fundamentals of random variables.
1 hour to finish
Sampling Distributions and the Central Restrict Theorem
On this module, you’ll study in regards to the Legislation of Giant Numbers and the Central Restrict Theorem. Additionally, you will learn to differentiate between the several types of histograms current in statistical evaluation.
1 hour to finish
Regression
This module covers regression, arguably a very powerful statistical method based mostly on its versatility to unravel several types of statistical issues. You’ll find out about inference, regression, and find out how to do regression diagnostics.
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