Turn raw data into insights with Python-powered statistical tools and visualizations.
With data now being created at the rate of 2.5 quintillion bytes a day, there is a tremendous demand for people who can explore vast amounts of data. In this lab-based course, you will learn how to glean empirical truth from data using Python with Pandas, how to make the right decisions, and how to bring order from chaos.
Experience Python's straight-forward syntax, built-in data types, and object-oriented programming (OOP) and make your own data types. Learn how Python's brilliant architecture allows you to jump into any of more than 300,000 libraries provided for Python. In this course you work with the Pandas, NumPy, and Matplotlib libraries to inspect data, manipulate data, calculate statistics, and provide informative and beautiful visual representations for data sets via interactive Jupyter Notebooks.
* Cleaning
* Collating
* Extrapolating
* Analyzing
* Dealing with timed data
* Discovering cycles
Helpful, but not required, are a basic experience in any programming language and a rudimentary knowledge of statistics.
This class is offered in an online synchronous format. Students are expected to log into this course via Canvas at the start time of scheduled meetings and participate via Zoom, for the duration of each scheduled class meeting.
To see all meeting dates, click "Full Schedule" below.
Students are expected to have computers with Python 3.x, Jupyter Notebooks, libraries: Pandas, Matplotlib and Numpy installed. Installing the Anaconda distribution of Python, gives access to Jupyter Notebooks and all the required libraries. Instructions will be provided.
You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
Required Text:
"Murach's Python for Data Science", 2nd Edition, by Scott McCoy, published by Murach Books, May 2024. ISBN 978-1943873173
Recommended Text:
"Python for Data Analysis", 3rd Edition, by Wes McKinney, published by O'Reilly Media, Inc. - ISBN 9781098103989
