Intro to Data Science with Python: Beginners Bootcamp

Washington, D.C. campuses

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

GA D.C. (Northern Virginia)
2231 Crystal Drive #1000
Arlington VA 22202

Past Locations for this Workshop

Intro to Data Science with Python: Beginners Bootcamp

Washington, D.C.

Washington, D.C. campuses

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

GA D.C. (Northern Virginia)
2231 Crystal Drive #1000
Arlington VA 22202

Past Locations for this Workshop

About this workshop

Whether you have experience in programming or are looking to get started for the first time, this workshop series will put you on the fast track to honing your python and data analysis skills. Over the course of the bootcamp you’ll get hands-on programming experience in Python that you'll be able to immediately apply in the real world.

You'll learn the end-to-end data science process, covering the fundamentals of Python and several tools used in data science.

Schedule Part 1 Basic Intro Python & Data Manipulation - Fundamentals of Python - Import Data Science Packages - Read Data From Files

Part 2 Model Building - Machine Learning Algorithms - Build Predictive Model - Evaluate Model Performance

Takeaways

You'll learn the end-to-end data science process:

  • Collect data from a variety of sources (e.g., Excel, CSV files)
  • Explore and investigate large data sets
  • Apply machine learning algorithms to build predictive models in Python

This is a very practical and hands-on workshop that has lots of class exercises. You'll build your own library of Python scripts that can be reused after you're done with the course.

Prereqs & Preparation

You must bring a laptop with a text editor.

Sublime Text is recommended and has a free trial version (http://www.sublimetext.com/).

In addition, students should install Anaconda, which is a free package that includes python and a number of tools that will be used in class (http://continuum.io/downloads - Python 2.7 Graphical Installer).

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