Learn Python for data science. Work with Pandas, NumPy, and visualization tools to analyze and present data effectively.
Use `pandas` and `numpy` to identify trends within datasets
Create rich visualizations with `matplotlib` and visual applications with `folium`
Use open source toolset `scipy` for mathematics, science, and engineering applications
Sourcing data sets, including pulling data from APIs, and cleaning data for training
In this course you will learn to use Python, the most popular programming language for data sciences, for data analysis and data visualization. Explore Python libraries to more easily sort and analyze data sets for emerging trends. Quickly produce Excel quality visualizations appropriate for displaying data in real time monitoring systems.
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Aaron Steele
Casey Pense
Chris Tsantiris
Javier Martin
Justin Gilley
Kathy Le
Kelson Smith
Oussama Azzam
Pascal Rodmacq
Randall Granier
Aaron Steele
Casey Pense
Chris Tsantiris
Javier Martin
Justin Gilley
Kathy Le
Kelson Smith
Oussama Azzam
Pascal Rodmacq
Randall Granier