Nanodegree Program
Students will learn essential skills, including describing data, understanding probability theory, designing experiments, interpreting statistical results, and applying statistical models with Python. After successfully completing this Nanodegree program, graduates will be armed with a robust foundation in statistical analysis that can be applied to Data Analyst, Business Analyst, and Data Scientist roles.
Students will learn essential skills, including describing data, understanding probability theory, designing experiments, interpreting statistical results, and applying statistical models with Python. After successfully completing this Nanodegree program, graduates will be armed with a robust foundation in statistical analysis that can be applied to Data Analyst, Business Analyst, and Data Scientist roles.
Beginner
3 months
Real-world Projects
Completion Certificate
Last Updated February 22, 2024
Course 1 • 45 minutes
Welcome to Udacity! We're excited to share more about your Nanodegree program and start this journey with you!
Course 2 • 5 hours
Learn how to describe data in terms of data types, measures of center, measures of spread, shape, and outliers. These essential skills in descriptive statistics provide the foundation for more advanced statistical techniques that are used for data science, data analysis, and machine learning.
Course 3 • 10 hours
This course is a comprehensive dive into the fundamental concepts and principles of probability. You’ll begin with basic probability theory, then progress to more complex topics such as binomial distributions, conditional probability, and Bayes’ Rule. These skills will enhance your ability to reason about uncertainty and make claims using data.
Course 4 • 15 hours
Experimentation is one of the most important topics in all of statistics because it tells us whether our conclusions are statistically significant. In this course, you will learn about the fundamental role statistics plays in experimentation as well as how to implement statistical concepts in Python.
Founder and Executive Chairman, Udacity
As the Founder and Chairman of Udacity, Sebastian's mission is to democratize education by providing lifelong learning to millions of students worldwide. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass, and more.
Staff Data Scientist
Josh has been sharing his passion for data for over a decade. He's used data science for work ranging from cancer research to process automation. He recently has found a passion for solving data science problems within marketplace companies.
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Average time to complete a Nanodegree program
Statistics for Data Analysis
