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Instructor is Vivian Zhang (CTO @ SupStat, Founder @ NYC Data Science Academy & Adjunct Prof. @ NYU & Stony Brook Univ).
Sun, Nov 08, 2015 @ 01:00 PM   $1590   NYC Data Science Academy, 205 E 42nd St, 16th Fl
 
     
 
 
              

      
 
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LOCATION
EVENT DETAILS
Details

Each class is 20 hours of classroom guidance with an optional three week-long showcase project of students' own choices and optional presentation of their projects.

Time: 1:00pm - 5:00pm

Instructor: Vivian Zhang, CTO of SupStat., Founder of NYC Data Science Academy, Adjunct Professor at NYU and Stony Brook Univ., with Masters Degree of Computer Science, and Masters Degree of Applied Math and Statistics

Venue: 205 E 42nd Street, 16th Floor, New York, NY 10017 (5 min from Grand Central)

Online course option: Students can take it remotely through recorded youtube sessions with google hangout TA support, email info@nycdatascience.com to get enrolled

For corporate training or small group training inquiry: Email info@nycdatascience.com to get corporate/group discount

Instructor

Vivian Zhang, Founder and CTO of SupStat Inc, Adjunct Prof at NYU and Stony Brook Univ.
Vivian is a data scientist who has being devoted to the analytics industry and data technologies over years. Prior to taking entrepreneurial steps, she worked as a Senior Financial Analyst at Memorial Sloan-Kettering Cancer Center and Scientific Programmer at the Center of Statistics of Brown University. Vivian received Double Master Degrees in Computer Science and Statistics.

Course Overview

This five week course is an introduction to data analysis with the Python programming language, and is aimed at beginners. We introduce how to work with different data structure in Python. We covered the most popular modules, including Numpy, Scipy, Pandas, matplotlib, Seaborn, and ggplot, to do data analytics and visualization. We use ipython notebook to demonstrate the results of codes and change codes interactively during the class. Our past students include people have no programming experience and people have little exposure by taking Python class. Students told us our classes are very engaging, interactive, hands-on and have tons of content.
 
 
 
 
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