MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 11 lectures (2h 15m) | Size: 2 GB
Data Visualization using different types of graphs with live demonstration in Anaconda-Spyder notebook
What you'll learn:
Different types of chart and their interpretation.
Requirements
Basic Python
Description
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!
Who this course is for
MCA, BCA, Research Scholar
Beginner Python who are curious about data visualization
Python developers
Homepage
https://www.udemy.com/course/data-visualization-using-python/
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