About this Course

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Shareable Certificate
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Beginner Level

1. Experience with Data Science using the PyData Stack of NumPy, SciPy, Pandas, Scikit-learn.

2. Course 1 & 2 in this Specialization.

Approx. 12 hours to complete
English

What you will learn

  • 1. The PyMC3/ArViz framework for Bayesian modeling and inference

    2. Build real-world models using PyMC3 and assess the quality of your models

Skills you will gain

Bayesian InferencePython ProgrammingMonte Carlo MethodPyMC3Scipy
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level

1. Experience with Data Science using the PyData Stack of NumPy, SciPy, Pandas, Scikit-learn.

2. Course 1 & 2 in this Specialization.

Approx. 12 hours to complete
English

Offered by

Placeholder

Databricks

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Introduction to PyMC3 - Part 1

2 hours to complete
12 videos (Total 48 min), 3 readings, 1 quiz
Week
2

Week 2

1 hour to complete

Introduction to PyMC3 - Part 2

1 hour to complete
14 videos (Total 47 min)
Week
3

Week 3

5 hours to complete

Metrics in PyMC3

5 hours to complete
11 videos (Total 28 min), 3 readings, 1 quiz
Week
4

Week 4

3 hours to complete

Modeling of COVID-19 cases using PyMC3

3 hours to complete

About the Introduction to Computational Statistics for Data Scientists Specialization

Introduction to Computational Statistics for Data Scientists

Frequently Asked Questions

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