Fundamental Data Analysis and Visualization Tools in Python
What you'll learn
- Create presentable data visualizations with Python
- Learn how to analyze data with Python
- Make interactive data visualizations using the Plotly module
- Learn how to create plots from your data using Matplotlib, and Seaborn
- Analyze data using the Pandas library to create and structure data
- Analyze data using the NumPy library to create and manipulate arrays
- Use the Jupyter Notebook Environment
Requirements
- Basic to Intermediate Python Skills
- Basic math skills
- A Desire to learn!
Description
This course will provide an introduction to the fundamental Python tools for effectively analyzing and visualizing data. You will have a strong foundation in the field of Data Science!
You will gain an understanding of how to utilize Python in conjunction with scientific computing and graphing libraries to analyze data, and make presentable data visualizations.
This course is designed for both beginners with some basic programming experience or experienced developers looking to explore the world of Data Science!
In this course you will:
- Learn how to create and analyze data arrays using the NumPy package
- Learn how to use the Pandas library to create and analyze data sets
- Learn how to use Matplotlib, and Seaborn to create professional, eye-catching data visualizations
- Learn how to use Plotly to create interactive charts and plots
You will also get lifetime access to all the video lectures, detailed code notebooks for every lecture, as well as the ability to reach out to me anytime for directed inquiries and discussions.
Who this course is for:
- Anyone interested in learning more about Python, Data Science, or Data Visualizations
- Developers interested in learning how to Analyze and Visualize data with Python
- Anyone interested about the rapidly expanding world of Data Science!
Instructor
- 4.2 Instructor Rating
- 906 Reviews
- 57,940 Students
- 2 Courses
Hello! My name is James, and I have experience across various software industries and roles. I'm a programmer who specializes in python, data science, and data analysis.
I'm passionate about making content that others learn from and enjoy. Feel free to reach out if you want any help on your journey to becoming a master!