Free

Intro to Data Analysis

Course

Explore a variety of datasets, posing and answering your own questions about each. You'll be using the Python libraries NumPy, Pandas, and Matplotlib.

Intermediate

Last Updated December 11, 2023

Prerequisites:

No experience required

Course Lessons

Lesson 1

Data Analysis Process

Go through the data analysis process from start to finish using a dataset about Udacity student engagement.

Lesson 2

NumPy and Pandas for 1D Data

Learn how to use NumPy and Pandas to write clean, concise, and fast data analysis code for one-dimensional data.

Lesson 3

NumPy and Pandas for 2D Data

Learn more features of NumPy and Pandas you can use to analyze two-dimensional data.

Lesson 4

Final Project: Investigate a Dataset

Conduct your own analysis over a dataset, and share what you've found!

Taught By The Best

Caroline Buckey

Instructor

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.