It is our pleasure to once again offer the intensive R beginner level course for the third time! Beginning this Sunday, the 35 hour course will walk you through the basic operations and characteristics of R, all the way to having a firm understanding of data manipulation and visualization.
Also launching this weekend are two brand new courses, Data Visualization for D3 and Data Science for Python, both for the beginner level.
Taught by preeminent data scientists in New York City, these beginner NYC Data Science Academy courses are the best introduction to the exciting world of R, open data, and statistical science.
If interested, please read the course descriptions below and RSVP today!
“NYC Data Science Academy provided me great exposure to data science topics that I haven’t come across in either school or previous jobs. The handson assignments are practical and make use of realworld examples. As product development is becoming more datadriven, it will be crucial for product teams to have a solid grasp of data analysis which NYC Data Science Academy fills the knowledge/skill gap.” — Donald Fleurantin on Feb 4, 2014 
“I attended the beginner’s workshop for R and I found it extremely useful. The classes were very well organized. The slides were well paced with many practical examples. I especially like the hands on format of the class, you work through the slides on your laptop. I had very little knowledge of R before and I learned many tools during the course. I was particularly interested in the visualization tools. Since the course, I have used some of the charting tools that I learned in my presentations at work as well. Both Scott and Vivian did an excellent job teaching R basics. They were very helpful and answered questions in person, email and piazza (online platform where we would post our solutions). Vivian also shared with the class a lot of material and practical examples. I would highly recommend this course to users who are interested in learning R. ” — Heena D on Feb 26, 2014. 

1. Data Science by R programming(Beginner level) R003
Dates: Mar 16th, 23th, 30th, April 6th,13th (five Sundays)
Time: 10:00am5:00pm
Instructors: Vivian Zhang (CTO @Supstat Inc, Master degrees in Computer Science and Statistics)
Cost: $220 per class or $1100 for all five classes.
Note: NYC Data Academy does not offer individual classes. For group(5 or more persons) and enterprise pricing, please email [email protected]
Refund Policy: We offer a full refund if you are not happy with the first class and wish to drop the course.
RSVP: Data Science by R programming(Beginner level, Five Sun) R003
Course Outline:
(Content may be adjusted based on the real teaching condition)

Basics: 12 hours

Abstract: Explain the basic operation of knowledge through this unit of study. Students will learn the characteristics of R, resource acquisition mode, and mastery of basic programming

Case Study and Exercise: Using the R language completion of certain Euler Project (euler project)



Getting Data: 6 hours

Abstract: Explain the various ways the R language reads data, bring the participants through basic knowledge of web crawling, and connect to the database via sql statement calling data from a variety of locally read excel file data.

Case and Exercise: Crawl watercress data on the site and write a custom function.

Web data capture

API data source

Connect to the database

Local Documentation

Other data sources

Data Export


Data Manipulation: 6 hours

Abstract: How to manipulate data and use R for the all kinds of data conversion, especially for string operation processing .

Case Study and Exercise: Find the QQ(the most used instant messenger tool) group, then discuss research options with text features.

Data sorting

Merge Data

Summary data

Remodeling Data

Take a subset of data

String manipulation

Date Actions


Data Visualization: 6 hours

Abstract: Cover two advanced drawing packages (Lattice and ggplot2) and understand the various methods of visualization.

Case and Exercise: Using graphics, text and other data

Histogram

Point

Column

Line

Pie

Box Plot

Scatter

Matrix related

Map

Note: If class finishes early, we will cover selected topics below based on your need

Elementary Statistical Methods:

Abstract: The primary explanation to use R for statistical analysis and regression analysis. Students will master the basic statistical significance and role model.

Case and Exercise: Using regression to predict commodity prices―simulated casino game winner.



Preliminary Data Mining:

Abstract: Explain the R language for data mining expansion pack and functions use. Students will master two mining methods, supervised learning and unsupervised learning.

Case and Exercise: Use R to participate in Kaggle Data Mining Competition

General Mining Process

Rattle bag

Hierarchical clustering

K means clustering

Decision Trees

BP neural network

2. Data Visualization for D3.js (Beginner Level) D001
Date: Mar 15th, 22th, 29th, April 5th,12th(Five Saturdays)
Time: 9:00am1:00pm
Instructor: Adam Pearce is a Data Interaction Developer at Quovo, a webbased investment data analytics and visualization platform. He is one of the top Stack Overflow D3 experts and his work has been featured in The Atlantic Cities, Visualizing.org, visual.ly, and VisualLoop.
Note: NYC Data Academy does not offer individual classes. For group(5 or more persons) and enterprise pricing, please email [email protected]
Cost: $850 per person
Refund Policy: We offer a full refund if you are not happy with the first class and wish to drop the course.
RSVP: Data Visualization by D3.js (Beginner level,Five Sat) D001
Course Outline:
(Content may be adjusted based on the real teaching condition)
 Week 1


 Week 2


 Week 3



Week 4

Advanced Javascript

Functional programing

D3 & Arrays

Interactive sparkline

d3 nest

Piecharts

Crossfilter


Week 5

Mapping

Choropleth

Zoom and pan

Projections

topojosn

We also offer indepth workshops on real work projects, such as New Yorker Subway income visualization: http://www.newyorker.com/sandbox/business/subway.html
3.Data Science by Python(Beginner Level) P001
Date: Classes will be offered on Mar 15th, 22th, 29th, April 5th,12th(Five Saturdays)
Time: 1:155:15pm
Instructor: John Downs is a software engineer here in NYC. John is Data Science enthusiast and an expert in Python and Clojure. John’s experience ranges from use in Python, C/C++, Clojure, Java, Javascript and Matlab.
Cost: $850 per person
Note: NYC Data Academy does not offer individual classes. For group(5 or more persons) and enterprise pricing, please email [email protected]
Refund Policy: We offer a full refund if you are not happy with the first class and wish to drop the course.
RSVP: Data Science by Python(Beginner level) P001
Course Outline:
(Content may be adjusted based on the real teaching condition)

Week I: An introduction to Python
Reading: Think Python CH 2, 3, 5, 6, 7, 8, 1015
http://www.greenteapress.com/thinkpython/html/index.html



Week II: Python Standard Library and Computational Statistics
Reading: Section 9 of the Python standard library http://docs.python.org/2/library/
Think Stats CH 2, 49http://www.greenteapress.com/thinkstats/html/index.html



Week III: Visualization and Exploratory Data Analysis
Reading: Python for Data Analysis CH 5, 7, 9, 10



Week IV: A gentle introduction to scientific computing and machine learning
Reading: Python for Data Analysis CH 4, 11
Doing Data Science: CH 35
Optional: Learning ScikitLearn



Week V: Building data product
Reading: Doing Data Science CH 89


Rbloggers.com offers daily email updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...