Data Visualization using different types of graphs with live demonstration in Anaconda-Spyder notebook

Basic Python

We are an inherently visual world, where images speak louder than words. Data visualization is

especially important when it comes to big data and data analysis projects. Nowadays more and

more companies are using machine learning to collect mass amounts of data. While it's great that

they're able to do this so quickly and effectively, it also calls for a way to sort through,

comprehend, and explain this data in a way that makes sense to both the business owners and

stakeholders. Python is a great language for doing data analysis, primarily because of the fantastic

ecosystem of data-centric Python packages. Pandas is one of those packages and makes

importing and analyzing data much easier. This course will take students from the basics of

Python to exploring many different types of data. They will learn how to prepare data for analysis,

perform simple statistical analysis, create meaningful data visualizations, predict future trends from

data, and more!

MCA, BCA, Research Scholar

Bner Python who are curious about data visualization

Python developers



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