Python for Data Science Bootcamp
7

January 7 – January 15
4 Sessions

GA SF

225 Bush Street, 5th Floor (East Entrance)
San Francisco , CA 94104
$1,000 USD
Regular Ticket
$1,000 USD
Total

Questions? Read our FAQs

Python for Data Science Bootcamp

Craig Sakuma Photo


Data Scientist, Euclid Analytics

7

January 7 – January 15
4 Sessions

GA SF

225 Bush Street, 5th Floor (East Entrance)
San Francisco , CA 94104
$1,000 USD
Regular Ticket
$1,000 USD
Total

Questions? Read our FAQs

About This Workshop 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

Jan 7
Saturday, 7 January 10 am – 5 pm PST Session I: Intro to Python Fundamentals
  • Introduction to Data Types
  • If Statements
  • For Loops
  • Understanding lists, tuples, and dictionaries
Jan 8
Sunday, 8 January 10 am – 5 pm PST Session II: Data Collection and Exploration
  • Importing data from a variety of sources
  • Data exploration
  • Visualizing data using Matplotlib
Jan 14
Saturday, 14 January 10 am – 5 pm PST Session III: Data Cleaning and Visualization
  • Data manipulation using Pandas
  • Data cleaning and formatting
  • Feature engineering
Jan 15
Sunday, 15 January 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

Data Scientist,
Euclid Analytics

Craig is a data scientist at Euclid Analytics where he applies machine learning algorithms to measure customer traffic at brick and mortar stores. Prior to working as a data scientist, Craig has been a founder of a start-up and a corporate strategy consultant. He has an MBA from Wharton and an engineering degree from Northwestern University.

Refund Policy

Plans change. We get it. But if you can't make it to a class/workshop, please email us at least 7 days before the scheduled event date. No refunds will be given after this timeframe.

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