Plotting with Panda library: Seaborn visualization
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DESCRIPTION
Python is now recognized world wide as a default programming language for data sciences, predictive analysis, AI, machine learning, computer vision – all fields of the future. In this course students will be exposed to hands-on computer programming using Python. They will be introduced to the concept of algorithms & flow, programming basics, basics of interpreted & compiled languages, programming constructs in a textual interactive coding development environment (IDE).
Data visualization is being used in a variety of ways such as in the analysis of number of infected cases and virus growth during the COVID-19 pandemic. Analyzing data and visualization gives users a new perspective to solve problems. As organizations all across the globe are becoming increasingly data-driven, the ability to work with data is becoming an essential skill. In the second half of the course, students will be introduced to visualization of datasets – generating plots, understanding their meaning, and using statistical techniques from various libraries in Python such as NumPy, Panda, Seaborn and Matplotlib.