Mat Leonard
Senior Data Engineer, Octave
Numpy, Pandas, Matplotlib
Strengthen your Python data skills by working with NumPy, Pandas, and Matplotlib to analyze, transform, and visualize data using industry-standard tools used across data teams.
- Course
- Beginner
- 8 hours
- Updated: Apr 5, 2026
Subscription · Monthly
- Cancel Anytime
- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
- Personalized career coaching and interview prep
- Program Certificates
Skills you'll learn
8 skills
- Python package management
- Pandas
- Pip
- Anaconda
- matplotlib
Prerequisites
2 prerequisites
Prior to enrolling, you should have the following knowledge:
- Python Certified Entry-Level Programmer
- Basic Python
You will also need to be able to communicate fluently and professionally in written and spoken English.
Course Outline
- 6 lessons
Program Instructors
4 instructors
Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:
Juan Delgado
Computational Physicist
Juno Lee
Curriculum Lead at Udacity
Mike Yi, PhD
Data Scientist, AMD
Mat Leonard
Senior Data Engineer, Octave
Juan Delgado
Computational Physicist
Juno Lee
Curriculum Lead at Udacity
Mike Yi, PhD
Data Scientist, AMD
About this program
Master data analysis and visualization with Python’s top libraries! Learn NumPy for handling large datasets, Pandas for data manipulation, and Matplotlib for powerful visualizations. Enroll now to boost your Python skills!
Subscription · Monthly
- Cancel Anytime
- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
- Personalized career coaching and interview prep
- Program Certificates