Course Dates and Time

May 21-22, 2019

September 26-27, 2019

10:00 a.m - 4:00 p.m.

 Course Cost

Regular Tuition: $1,995

Course cost includes a light breakfast, coffee breaks, lunch, and class materials. It does not include housing.

Ready to Analyze with Python?

 

Register for May 21st-22nd, 2019

Register for September 26th-27th, 2019

 
Horizontal Rule
Analyzing Unstructured Data with Python  

Unstructured data are increasingly available from websites, social media, and other applications. This course introduces the basic programming skills used to collect data from the web, transform them into the desired format, and prepare simple visualizations and analyses.  The first day of the course will introduce the core elements of Python, a widely used, general purpose programming language. Attendees will write Python scripts, learn to scrape websites, and use application programming interfaces (APIs). The second day of the course will provide hands-on instruction in using Python to visualize and analyze data.  No programming experience is required.

A computer is required for programming in Python 3 throughout the course.  Attendees are strongly encouraged to utilize the Anaconda platform, which bundles Python 3 with a set of tools and commonly used libraries.  Download and install the Anaconda 3 Distribution from https://www.anaconda.com/download/.

Course Goals

By the end of the class, students will be able to:

  • Understand the use cases for Python in analyzing unstructured data;

  • Explain the core elements of Python; and

  • Demonstrate facility with using Python for data analysis and data visualization. 

Target Audience

This course is for those who wish to gain an understanding of how to use Python to perform data analysis and data visualization with unstructured data. No prior programming experience is required. 

Faculty

Nalette-Brodnax

NaLette M. Brodnax is an Assistant Professor in the McCourt School of Public Policy at Georgetown University and a Visiting Fellow at the Institute for Quantitative Social Science at Harvard University. She received a joint Ph.D. in Public Policy and Political Science from the School of Public and Environmental Affairs at Indiana University.

Her research interests include education policy, policy diffusion, and computational social science. She specialize’s in data science, randomized experiments, cost-benefit analysis, program evaluation, and econometrics.  In the private sector, Nalette has worked with a range of companies and organizations including Eli Lilly, Nokia, and the Indianapolis Chamber of Commerce, among others.

 

 

Continuing Education Units (CEUs)

Students who complete this course will earn 1.2 continuing education units.

Executive Core Qualifications (ECQs) Alignment

The content of this course covers competencies addressed by the following ECQs: Business Acumen; Results Driven.

Ready to Analyze with Python?

 

Register for May 21st-22nd, 2019

Register for September 26th-27th, 2019

 
Horizontal Rule

Additional Executive Institute Courses

Develop new skills by participating in another short course this year.

 

Questions? Contact Our Executive Education Team

Whether you are looking to broaden your skill set or are seeking to customize an educational experience for a group of employees, we can help you find or build the right program to fit your needs, schedule, and budget.

 (202) 687-2253
 Email Us