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Taught by John Downs (Software Engineer in Test at Yodle)
Saturday, April 26, 2014 at 01:00 PM    Cost: $850
AlleyNYC, 500 7th Ave, 17th Fl
 
     
 
 
              

              
 
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Please RSVP this class at http://nycdatascience.com/course/data-science-by-python/

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Date: April 26th, May 3rd, 10th, 17th, 31st (five Saturdays) (We made such change because April 19th & May 24th are Easter & Memorial weekend)

Time: 1:15pm - 5:15pm

Instructor: John Downs, Software Engineer in Test at Yodle

Course Overview: This five week course is an introduction to data analysis with the Python programming language aimed at beginners.

Project Demo Day & Certificates:
From the rudimentary building blocks of programming basics, to data manipulation & use of advanced drawing packages, the course ends with a demonstration of a project of your choice on Project Demo Day. On Demo Day you will access & analyze real data, utilizing the tools & skillsets taught to you throughout the course. After the successful completion of the course, you will qualify for one of three certificates: Extraordinary Standing pass, Honorable Graduation pass, & Active Participation pass.

Certificates are awarded according to your understanding, skill, & participation.

Week 1: Intro to Data Analysis

Using Project Euler problems & NYC Housing Data

Overview of the Python language

IPython - Command shell

Libraries & packages for data analysis - Pandas, Numpy, SciPy, Scikit-Learn

Performing basic data analysis

Week 2: Visualization & Algorithms

Using NYC Housing Data

Graphics with Matplotlib

Web Scraping - Collecting data from the internet

Regression Analysis - Linear & Logistic

Week 3: Machine Learning

Using New York Times articles & AdClick

Scikit-Learn - Library for data analysis & data mining

Supervised & Unsupervised Learning

Decision Trees

Cluster Analysis - K Nearest Neighbors & K Means

Spam Filtering

Bayesian Analysis - Naive Bayes

Week 4: Time Series & Financial Modeling

Using Yahoo Finance

Selecting Features

Time series with the Pandas library

Causality

Feedback loops

Week 5: Building a Data Product

Web Frameworks

Intrusion Detection

Recommendation Engines
 
 
 
 
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