Master the basics of data analysis in Python. Expand your data science skill set by learning scientific computing with numpy.
Level up your Python data science skills creating visualizations using matplotlib and manipulating data frames with Pandas.
Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.
In this course, you'll learn how to use the industry-standard pandas library to import, build, and manipulate DataFrames.
Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.
In this course, you'll learn the basics of relational databases and why they're everywhere, along with how to interact with them.
After all of the hard work of acquiring data and getting them into a form you can work with, you ultimately want to make clear,...
Further improve your Python importing skills and learn to work with more web and API data.
Learn how to create versatile, data-driven graphics using Bokeh.
This course extends Intermediate Python for Data Science to provide a stronger foundation in data visualization in Python. The ...
In this course, you'll learn how to leverage pandas' extremely powerful data manipulation engine to get the most out of your da...