University of Colorado Boulder
Data Science Foundations: Statistical Inference Specialization
University of Colorado Boulder

Data Science Foundations: Statistical Inference Specialization

Build Your Statistical Skills for Data Science. Master the Statistics Necessary for Data Science

Anne Dougherty
Jem Corcoran

Instructors: Anne Dougherty

12,042 already enrolled

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Get in-depth knowledge of a subject
4.3

(160 reviews)

Intermediate level

Recommended experience

3 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.3

(160 reviews)

Intermediate level

Recommended experience

3 months
at 10 hours a week
Flexible schedule
Learn at your own pace

Details to know

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Taught in English

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Specialization - 3 course series

Probability Theory: Foundation for Data Science

Course 140 hours4.5 (167 ratings)

What you'll learn

  • Explain why probability is important to statistics and data science.

  • See the relationship between conditional and independent events in a statistical experiment.

  • Calculate the expectation and variance of several random variables and develop some intuition.

Skills you'll gain

Category: Bayes' Theorem
Category: continuous random variables
Category: Probability
Category: discrete random variables
Category: central limit theorem

Statistical Inference for Estimation in Data Science

Course 228 hours4.1 (71 ratings)

What you'll learn

  • Identify characteristics of “good” estimators and be able to compare competing estimators.

  • Construct sound estimators using the techniques of maximum likelihood and method of moments estimation.

  • Construct and interpret confidence intervals for one and two population means, one and two population proportions, and a population variance.

What you'll learn

  • Define a composite hypothesis and the level of significance for a test with a composite null hypothesis.

  • Define a test statistic, level of significance, and the rejection region for a hypothesis test. Give the form of a rejection region.

  • Perform tests concerning a true population variance.

  • Compute the sampling distributions for the sample mean and sample minimum of the exponential distribution.

Instructors

Anne Dougherty
University of Colorado Boulder
2 Courses25,670 learners

Offered by

Build toward a degree

This Specialization is part of the following degree program(s) offered by University of Colorado Boulder. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹

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