beginnerCertificate$25/mo
Introduction to Statistics in Python
by Maggie Matsui · DataCamp
4.5(5,500 reviews)
200K+ enrolled4 hoursUpdated 2024-08
What You'll Learn
Understand the fundamentals and key concepts of statistics
Apply statistics techniques to solve real-world problems
Understand the fundamentals and key concepts of probability
Apply probability techniques to solve real-world problems
Understand the fundamentals and key concepts of hypothesis testing
Apply hypothesis testing techniques to solve real-world problems
About This Course
Learn statistics fundamentals covering probability distributions, correlation, hypothesis testing, and sampling with Python.
Curriculum
Module 1: Statistics & Probability6 lessons
- Introduction to statistics
- Statistics in Practice
- Hands-on Exercise: Statistics
- Introduction to probability
- Probability in Practice
- Hands-on Exercise: Probability
Module 2: Hypothesis testing & Python6 lessons
- Introduction to hypothesis testing
- Hypothesis testing in Practice
- Hands-on Exercise: Hypothesis testing
- Introduction to Python
- Python in Practice
- Hands-on Exercise: Python
Module 3: Data science3 lessons
- Introduction to data science
- Data science in Practice
- Hands-on Exercise: Data science
Instructor
Maggie Matsui
Instructor at DataCamp
Pros & Cons
Pros
- Offers a certificate of completion
- Hands-on interactive exercises
- Taught by Maggie Matsui
- Well-structured curriculum
Cons
- Requires paid subscription
- May be too basic for experienced practitioners
- Self-paced requires discipline
$25/mo
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