01-27-2023, 02:47 AM
Data Visualization in Python for Beginners
Expand on your current Python 3 skillset with Matplotlib and different data visualization/analysis techniques
New
Rating: 0.0 out of 5
(0 ratings)
490 students
1hr 17min of on-demand video
Description
Students will learn about data visualization fundamentals in Python using Matplotlib and Numpy. They will work with a variety of datasets and graphs to optimize the start of their journey in the massive sea of data science. This course provides you with everything you need to get started and is accessible to any operating system. From learning about the basics of 2D graphs to working with 3D visualizations, students will learn and then apply their knowledge to various applications.
Through working with various common data science libraries, you'll learn how they all tie into one another and how Matplotlib can be used to complement them. We'll start from the basics, and move on to more advanced data sets and graphs that deal with them.
https://www.udemy.com/course/python-data-vis/
Enjoy!
Expand on your current Python 3 skillset with Matplotlib and different data visualization/analysis techniques
New
Rating: 0.0 out of 5
(0 ratings)
490 students
1hr 17min of on-demand video
Description
Students will learn about data visualization fundamentals in Python using Matplotlib and Numpy. They will work with a variety of datasets and graphs to optimize the start of their journey in the massive sea of data science. This course provides you with everything you need to get started and is accessible to any operating system. From learning about the basics of 2D graphs to working with 3D visualizations, students will learn and then apply their knowledge to various applications.
Through working with various common data science libraries, you'll learn how they all tie into one another and how Matplotlib can be used to complement them. We'll start from the basics, and move on to more advanced data sets and graphs that deal with them.
https://www.udemy.com/course/python-data-vis/
Enjoy!