Prerequisites:

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.
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
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.
Get help from subject matter experts
Learn industry best practices
Gain valuable insights and improve your skills
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