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    Introductory Python

    This is a class for computer-literate people with no programming background who wish to learn basic Python programming. The course is aimed at those who want to learn “data wrangling” – manipulating downloaded files to make them amenable to analysis. We concentrate on language basics such as list and string manipulation, control structures, simple data analysis packages, and introduce modules for downloading data from the web.

    March 6, 2017 - March 29, 2017 7:00-9:30pm Other Dates
    Big Data with Hadoop and Spark

    This is a 6-week evening program providing a hands-on introduction to the Hadoop and Spark ecosystem of Big Data technologies. The course will cover these key components of Apache Hadoop: HDFS, MapReduce with streaming, Hive, and Spark. Programming will be done in Python. The course will begin with a review of Python concepts needed for our examples. The course format is interactive. Students will need to bring laptops to class. We will do our work on AWS (Amazon Web Services); instructions will be provided ahead of time on how to connect to AWS and obtain an account.

    April 17, 2017 - May 24, 2017 7:00-9:30pm Other Dates
    Data Science with R: Data Analysis and Visualization

    This course is a 35-hour program designed to provide a comprehensive introduction to R. You’ll learn how to load, save, and transform data as well as how to write functions, generate graphs, and fit basic statistical models with data. In addition to a theoretical framework in which you will learn the process of data analysis, this course focuses on the practical tools needed in data analysis and visualization. By the end of the course, you will have mastered the essential skills of processing, manipulating and analyzing data of various types, creating advanced visualizations, generating reports, and documenting your codes.

    March 11, 2017 - April 8, 2017 6:30-9:30 pm Other Dates
    Intro to Data Science with R (2-day intensive)

    This course is a 2-day intensive workshop on basic R programming. You’ll learn how to load, save, and transform data as well as write functions, generate graphs, and run basic statistical models. You’ll acquire not only the theoretical framework that helps you understand the process of data analysis, but also practical skills that allow you to utilize as soon as you get back from the course.

    February 16, 2017 - February 17, 2017 9:00am-5:00pm