Powered by
Completion
CERTIFICATE
Python Packages for Data Science
Master essential Python packages like NumPy, Pandas, Matplotlib, and Seaborn for data analysis and visualization.
Course Cost
Free course
Intermediate
Skill Level
18 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Expressway to Data Science: Python Programming Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
What you'll learn
Master data manipulation with NumPy and Pandas
Create effective visualizations using Matplotlib
Enhance data presentation with Seaborn
Apply Python packages to real data science tasks
Develop practical data analysis skills
Skills you'll gain
This course includes:
2.73 Hours PreRecorded video
8 quizzes, 4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This comprehensive course focuses on essential Python packages used in data science. Students learn to manipulate data using NumPy and Pandas, create visualizations with Matplotlib and Seaborn, and develop practical skills through hands-on exercises. The curriculum is designed for learners with basic Python knowledge who want to advance their data science capabilities through popular packages and practical applications.
Hello, packages!
Module 1 · 4 Hours to complete
Data Manipulation: Numpy and Pandas
Module 2 · 8 Hours to complete
Data Visualization: Matplotlib
Module 3 · 3 Hours to complete
Data Visualization: Seaborn
Module 4 · 3 Hours to complete
Fee Structure
Reviews
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4.4
93
Reviews
41,403
Students
18
Courses
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.