$0 – $100

Introduction to Python for Statistics Short Course

Event Information

Share this event

Date and Time

Location

Location

Middlebush/Walter Johnson Auditorium

142 Middlebush Hall

900 Hitt Street

Columbia, MO 65211

View Map

Event description
Course will provide a gentle intro to Python for Statistical Modeling. Instructions for recommended software will be available before course

About this Event

Introduction to Python for Statistics Short Course

When: January 26, 2019, 10am – 4pm (with lunch break)

Where: Middlebush Hall 142 (Middlebush/Johnson Auditorium)

Course Description:

The course will provide a gentle introduction to Python for statistical modeling. Python is one of the world's most popular programming languages, and is commonly used by major companies for web development purposes. Google has used it for much of their web spider and search engine code, Yahoo built their "Groups" and "Maps" features with it, and the Central Intelligence Agency built their entire website with it. In addition to web development, Python can be found in commercial games, business software, educational applications, animation systems and many other different types of software.

Course topics will include:

• Using a useful Python GUI (e.g., Spyder)

• Basic introduction to reading, manipulating, and output data files

• simple data analysis (regression and classification methods)

• basic visualization (scatterplots, histograms, kernel smooths, regressions, maps)

• basic interface with R

The course will be “hands on” and participants are encouraged to bring their laptops. Instructions for recommended software will be made available before the course. All recommended software will be open source, and can be downloaded free of cost.

Course Presenter:

Steven Stehnach

(MA Statistics, Mizzou, 2017)

Steven Stehnach is a data scientist who is enthusiastic about geography, marketing, sports, finance, and data applications in a variety of other fields. In May 2017, he completed a master's degree in statistics at the University of Missouri, where he focused on machine learning and predictive modeling. Steven is highly proficient in both R and Python, and has worked extensively in developing and implementing complex statistical models using R and Python in various practical areas.

Coffee and Snacks will be provided, but lunch will be on your own. There are many restaurants within a short walking distance of Middlebush hall.

Please make sure that you purchase the correct ticket. This will be confirmed before the start of the event.

Share with friends

Date and Time

Location

Middlebush/Walter Johnson Auditorium

142 Middlebush Hall

900 Hitt Street

Columbia, MO 65211

View Map

Save This Event

Event Saved