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Statistics for Data Analysis

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

Skills you'll learn:
Outlier analysis • Statistical sampling • Basic probability • Probability distribution
Prerequisites:
Basic Python • Intermediate Python • Basic arithmetic

Courses In This Program

Course 1 45 minutes

Welcome to the Statistics for Data Analysis Nanodegree Program

Welcome to Udacity! We're excited to share more about your Nanodegree program and start this journey with you!

Course 2 5 hours

Descriptive Statistics

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

Probability

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

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.

Taught By The Best

Photo of Sebastian Thrun

Sebastian Thrun

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.

Photo of Josh Bernhard

Josh Bernhard

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.

The Udacity Difference

Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.

Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

  • Gain proven experience

  • Retain knowledge longer

  • Apply new skills immediately

Top-tier services to ensure learner success

Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.

  • Get help from subject matter experts

  • Learn industry best practices

  • Gain valuable insights and improve your skills

Unlock access to Statistics for Data Analysis and the rest of our best-in-class catalog

  • Unlimited access to our top-rated courses

  • Real-world projects

  • Personalized project reviews

  • Program certificates

  • Proven career outcomes

Full Catalog Access

One subscription opens up this course and our entire catalog of projects and skills.

Month-To-Month

4 Months

Average time to complete a Nanodegree program

*Discount applies to the first 4 months of membership, after which plans are converted to month-to-month.

Get Started Today

Statistics for Data Analysis

Month-To-Month


  • Unlimited access to our top-rated courses
  • Real-world projects
  • Personalized project reviews
  • Program certificates
  • Proven career outcomes

4 Months

Average time to complete a Nanodegree program

  • All the same great benefits in our month-to-month plan
  • Most cost-effective way to acquire a new set of skills
Discount applies to the first 4 months of membership, after which plans are converted to month-to-month.