NYC Data Science Courses, Bootcamps, Meetups
NYC Data Science Academy spring schedule includes 3 classes, 3 Meetups, 7 bootcamp events on Data Science, R, Python, Machine Learning, scikit-learn, and related topics.
NYC Data Science Academy spring schedule includes 3 classes, 3 Meetups, 7 bootcamp events on Data Science, R, Python, Machine Learning, and related topics.
Upcoming weekend class
1. Data Science with R: Data Analysis
Date: Mar 28rd, April 11, 18, 25, May 2nd
(We take a break on Easter Weekend on April 4th.)
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: Mar 28rd, April 11, 18, 25, May 2nd
(We take a break on Easter Weekend on April 4th.)
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 and 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: Mar 28rd, April 11, 18, 25, May 2nd
(We take a break on Easter Weekend on April 4th.)
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 senior or manager role.
Meetups
1. Industry experience series: Knewton Data Scientist team
Date: Mar 18, 7-90pm
Chaitanya Ekanadham leads a team of data scientists and analysts developing the core models that power Knewton adaptive learning products. Chaitanya will talk about the Knewton data science team's vision of representing learning experiences, and go into a few specific ways we do that, such as content graphing and measuring student ability.
2. R Machine Learning Class Demo Day (R010 and R012)
Date: Mar 24, 7-9pm
Data Science with R (Data Analysis level) 10th batch and (Data Mining level)(12th batch) are graduating. Their final projects will demonstrate:
1. how to predict condo price in Jersey City using tax assessment data, building data
2. predict conversion rate based on Salesforce application
3. Predict view-ability score for each single impression using DSP log level data
3. Scikit-Learn Workshop by one of core developers - Andreas Mueller
Date: Mar 30, 7-9pm
Scikit-learn is a machine learning library in Python, that has become a valuable tool for many data science practitioners. Andreas Mueller is an Assistant Research Scientist at the NYU Center for Data Science, building a group to work on open source software for data science. This talk will cover some of the more advanced aspects of Scikit-learn, such as building complex machine learning pipelines, model evaluation, parameter search, and out-of-core learning.
Bootcamps
1-4. NYC Data Science Academy 12 weeks Bootcamp, Application Deadline: May 1st, apply immediately!
Open House Meetup Events
- Thursday, April 2, 6-8pm
- Thursday, April 16, 6-8pm
- Thursday, April 30, 6-8pm
- Thursday, May 14, 6-8pm
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 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!
5-7. NYC Data Science Academy 12 weeks Bootcamp
Application Deadline: May 1st, apply immediately!
Online Information Session hosted on Google hangout
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 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!
