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Sponsored Event
Saturday, Apr 26 (01:00 PM) @ AlleyNYC
 
     

     

     

     

 
Details
Permalink:   http://gary.to/mdekdlg
 
Cost:  $850
 
URL:  Click here for Event Website
 
Location: 
AlleyNYC, 500 7th Ave, 17th Fl, New York
 
 
 
Description
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 and May 24th are Easter and 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 and Certificates:
From the rudimentary building blocks of programming basics, to data manipulation and 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 and analyze real data, utilizing the tools and 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, and Active Participation pass.

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

Week 1: Intro to Data Analysis

Using Project Euler problems and NYC Housing Data

Overview of the Python language

IPython – Command shell

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

Performing basic data analysis

Week 2: Visualization and Algorithms

Using NYC Housing Data

Graphics with Matplotlib

Web Scraping – Collecting data from the internet

Regression Analysis – Linear and Logistic

Week 3: Machine Learning

Using New York Times articles and AdClick

Scikit-Learn – Library for data analysis and data mining

Supervised and Unsupervised Learning

Decision Trees

Cluster Analysis – K Nearest Neighbors and K Means

Spam Filtering

Bayesian Analysis – Naive Bayes

Week 4: Time Series and 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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