Databricks

Introduction to Bayesian Statistics

This course is part of Introduction to Computational Statistics for Data Scientists Specialization

Taught in English

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4,181 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

3.6

(39 reviews)

Beginner level

Recommended experience

12 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • The basics of Probability, Bayesian statistics, modeling and inference.

  • You will also get a hands-on introduction to using Python for computational statistics using Scikit-learn, SciPy and Numpy.

Details to know

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Assessments

17 quizzes

Course

Gain insight into a topic and learn the fundamentals

3.6

(39 reviews)

Beginner level

Recommended experience

12 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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This course is part of the Introduction to Computational Statistics for Data Scientists Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
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There are 4 modules in this course

Introduction to the compute environment for the Specialization. The users will be introduced to the Databricks Ecosystem for Data Science. The users can also deploy the notebooks to Binder for setup-free access.

What's included

4 videos1 reading

In this module, you will learn the foundations of probability and statistics. The focus is on gaining familiarity with terms and concepts.

What's included

17 videos7 readings12 quizzes

Tis module will be an introduction to common distributions along with the Python code to generate, plot and interact with these distributions. You will also learn how to perform Maximum Likelihood Estimation (MLE) for various distributions and Kernel Density Estimation (KDE) for non-parametric distributions.

What's included

12 videos2 readings2 quizzes

This module introduces you to various sampling algorithms for generating distributions. You will also be introduced to Python code that performs sampling.

What's included

6 videos2 readings3 quizzes

Instructor

Instructor ratings
3.5 (16 ratings)
Dr. Srijith Rajamohan
Databricks
3 Courses5,889 learners

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Databricks

Recommended if you're interested in Probability and Statistics

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3.6

39 reviews

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MG
5

Reviewed on Aug 13, 2021

TS
4

Reviewed on Feb 25, 2022

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