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NYC Data Science Academy Bootcamps, Classes on R, Python, and Machine Learning


NYC Data Science Academy upcoming schedule includes 7 bootcamp events and 4 classes on Data Science, R, Python, and Machine Learning. Register now.



NYC Data Science Academy NYC Data Science Academy upcoming schedule includes 7 bootcamp events and 4 classes on Data Science, R, Python, and Machine Learning.

NYC Data Science Academy 12 weeks Bootcamp

Program time: June 1 - Aug 22, 2015
Application Deadline: May 1, 2015
Students work: nycdatascience.com/students-work/
Testimonial: nycdatascience.com/testimonials/

We offer job placement assistance! We work with hiring partners directly and fulfill their Data Scientist hiring need.Learn how you can bring your data scientist career goal to life. Meet our instructors, alumni, and staff. Learn what it means to be a Data Science student, and check out our alumni's final projects. Get introductions to our upcoming course offerings or have a 1-on-1 chat with our admissions rep to find the right course for you. Learn about the NYC Open Data Group, NYC Data Science Academy and the benefits of becoming a member of the school and meetup!

Students will present their final projects to the whole NYC Data Science Community. They will share their Kaggle competition and Port Authority project and etc.
 
Online Information Session hosted on Google hangout, Meet us online!
 
Open House Meetup Events, Meet us in person!
 
Upcoming weekday class

1. Intro to Data Science with R
Date: May 20 and 21
Time: 9am to 5pm

Presented by Vivian Zhang, Founder and CTO of SupStat Inc, Adjunct Prof at NYU and Stony Brook Univ. Vivian is a data scientist who was devoted to the analytics industry and data technologies for many 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.
This class is designed to provide a comprehensive introduction to R. We'll get you programming and analyzing data with R in no time. Participants will receive a copy of all slides, exercises, data sets, and R scripts used in the course. We will also emphasize how you can get work done easily with the RStudio IDE.

Upcoming weekend class

1. Data Science with R: Data Analysis
Date: May 16, 30, Jun 6, 13, 20
(We take a break on Memorial Weekend on May 23)
Time: 10am to 5pm

Paul Trowbridge is a adjunct faculty at NYU. Paul has worked on projects in FMRI brain imaging studies, the analysis of international dispute data, experimental psychology, micro-simulation methods in urban planning and urban economics applications, and the epidemiology of Chlymidia.
This intensive class will introduce you to the wonderful wold of R and provide you with an excellent understanding of the language that leaves you with a firm foundation to build upon.From the rudimentary building blocks of programming basics, to data manipulation and use of advanced drawing packages, the course will conclude with a demonstration of a project of your choice on Project Demo Day.

2. Data Science with Python: Data Analysis
Date: May 16, 30, Jun 6, 13, 20
(We take a break on Memorial Weekend on May 23)
Time: 1pm to 5pm

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, ggplot, etc 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 at NYU or General Assembly. Students told us our classes are very engaging, interactive, hands-on and have tons of content.

3. Data Science with Python: Machine Learning
Date: May 17, 31, Jun 7, 14, 21 (break May 24, Memorial Day Weekend)
Time: 1pm to 5pm

We do hands-on instruction over 30+ functions in Scikit-learn library and cover topics as linear regression, multivariate linear regression, Naive Bayes Classifiers, kNN, logistic regression, LDA, Cross-validation, Bootstrap, feature selection, SVM, Decision Tree, PCA and clustering. We build solid foundation for you to advance your data scientist career into experienced Data Scientists or even manager/director role.


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