Python and Machine Learning Bootcamp Series
11

November 11 – November 19
4 Sessions

GA SF

225 Bush Street, 5th Floor (East Entrance)
San Francisco, CA 94104
$1,500 USD
Regular Ticket
$1,500 USD
Total

Questions? Read our FAQs

Python and Machine Learning Bootcamp Series

Craig Sakuma Photo


Founder, QuantSprout

11

November 11 – November 19
4 Sessions

GA SF

225 Bush Street, 5th Floor (East Entrance)
San Francisco, CA 94104
$1,500 USD
Regular Ticket
$1,500 USD
Total

Questions? Read our FAQs

About This Class Series

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

This workshop is for analysts, product managers, mathematicians, business managers or anyone else that wants to learn how to code in Python.

Limited space available!*

Schedule

Nov 11
Saturday, 11 November 11 am – 5 pm PST Session I: Intro to Python Fundamentals
  • Introduction to Data Types
  • If Statements
  • For Loops
  • Understanding lists, tuples, and dictionaries
Nov 12
Sunday, 12 November 10 am – 5 pm PST Session II: Data Collection and Exploration
  • Importing data from a variety of sources
  • Data exploration
  • Visualizing data using Matplotlib
Nov 18
Saturday, 18 November 10 am – 5 pm PST Session III: Data Cleaning and Visualization
  • Data manipulation using Pandas
  • Data cleaning and formatting
  • Feature engineering
Nov 19
Sunday, 19 November 10 am – 5 pm PST Session IV: Machine Learning
  • Overview of machine learning
  • Implementing machine learning algorithms in Python
  • Measuring algorithm performance with cross-validation

Takeaways

In this workshop you'll learn the end-to-end data science process:

  • Collect data from a variety of sources (e.g., Excel, web-scraping, APIs and others)
  • Explore large data sets
  • Clean and "munge" the data to prepare it for analysis
  • Apply machine learning algorithms to gain insight from the data
  • Visualize the results of your analysis

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 your 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).

About the Instructor

Craig Sakuma Photo

Founder,
QuantSprout

Craig has been a data science and analytics instructor at General Assembly since 2014 and he has over 2,000 hours of teaching experience. Prior to teaching at General Assembly, he worked as a data scientist at Euclid Analytics. Craig has also founded an e-commerce furniture business, Deal Decor, and worked as a consultant at the Boston Consulting Group. He has an engineering degree from Northwestern and an MBA from Wharton. For fun, Craig enjoys traveling and has spent a total of 5 years living overseas in three different countries.

Refund Policy

We understand that, sometimes, plans change. If you can no longer make it to a class or workshop, please email us at least 7 days before the scheduled event date. No refunds will be given to cancellations made within a week of the class or workshop.

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