Data Science 101

Upcoming in Washington D.C.

2

Wednesday, 2 November
Washington D.C.

Washington D.C. campuses

GA Washington D.C. (1776 8th Floor)
1133 15th Street NW, 8th Floor
Washington DC 20005

Data Science 101

Washington D.C.

Upcoming in Washington D.C.

2

Wednesday, 2 November
Washington D.C.

Washington D.C. campuses

GA Washington D.C. (1776 8th Floor)
1133 15th Street NW, 8th Floor
Washington DC 20005

About this class

See how the predictive power of data drives modern business.

Step into the world of data science with General Assembly. During our introductory workshop, explore the job Harvard Business Review has dubbed “the sexiest of the 21st century,” and see how modern businesses are harnessing the power of data to drive innovation. Working with real-world case studies, you’ll:

  • Learn what data scientists do and the types of problems they solve.
  • Walk through the typical data science workflow and see how the pros identify powerful business predictions.
  • Explore key tools and processes data scientists use to analyze, visualize, and model data.
  • Apply what you’ve learned to a data set to produce your own recommendations.

Chart your own career path. Pick up where this workshop leaves off. Enhance your professional skill set in our 10-week, part-time Data Science course or become job-ready with our 12-week, full-time Data Science Immersive program.

Prereqs & Preparation

Bring a laptop. Install Anaconda beforehand. *Tip: Scroll to your operating system version and click on the install button for Anaconda with Python 2.7. Note: We'll be using Python version 2.7 in this workshop. If you are using a PC, please install the git for windows terminal beforehand.

Technical Considerations: -For students on Windows, you’ll need Microsoft Windows 8/10 (32- or 64-bit). For those with Macs, you’ll need the Mac OS X 10.8.5 or higher, up to 10.11.4 (El Capitan).
-Upgrade your operating system before class, if needed.

Students should have some basic technical aptitude, orientation to computers, and the curiosity to learn new tools.

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