Fundamental Data Analysis and Visualization Tools in Python
Fundamental Data Analysis and Visualization Tools in Python
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 242 MB
Genre: eLearning Video | Duration: 7 lectures (1 hour, 5 mins) | Language: English
Learn how to analyze and visualize data by using Python libraries such as Descriptionly, Seaborn, MatDescriptionlib, Pandas, and NumPy
What you'll learn
Create presentable data visualizations with Python
Learn how to analyze data with Python
Make interactive data visualizations using the Descriptionly module
Learn how to create Descriptions from your data using MatDescriptionlib, 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 teach you the fundamental Python tools for effectively analyzing and visualizing data. You will have a strong foundation in the field of Data Science and be well prepared for your journey of starting a career!
You will gain a full 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!
By the end of this course you will:
- Know how to create and analyze data arrays using the NumPy package
- Know how to use the Pandas library to create and analyze data sets
- Know how to use MatDescriptionlib, and Seaborn to create professional, eye-catching data visualizations
- Know how to use Descriptionly to create interactive charts and Descriptions
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!
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