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Data Visualization refers to the representation of Data in the forms of Graph, Charts, Lines etc. It makes the process of analyzing and identifying patterns, trends and outliers in large data sets Easy. It helps us to understand the data and draw insights from.
In this DataHour Jaiyesh will explain how data visualization is done using python. He will elaborate on the most important library of python which is used for visualization, Matplotlib. He will also cover how to create static plots, how to beautify plots, all about dynamic plotting with examples and then seaborn plotting will be discussed briefly.
Prerequisites: Basic understanding of Python and zeal of learning Data Science.
Jaiyesh Chahar
Data Scientist at Siemens
Jaiyesh is a data scientist at Siemens, and also a Community mentor for Python and Data Science for the Oil and Gas Industry. Co-Founder of Petroleum from Scratch: Venture focused on mentoring the community with core Petroleum Concepts as well as Data Analytics Skills that helps students as well as professionals to acquire the skills needed for Industry 4.0.
Follow Jiyesh :https://www.linkedin.com/in/jaiyesh-chahar-9b3642107/
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