Showing all 4 results

Python

Subjects
Level
Time
    Introductory Python
    Introductory

    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.

    August 14, 2017 - September 11, 2017 7:00-9:30pm Other Dates
    Data Science with Python: Machine Learning

    This 20-hour Machine Learning with Python course covers all the basic machine learning methods and Python modules (especially Scikit-Learn) for implementing them. The five sessions cover: simple and multiple Linear regressions; classification methods including logistic regression, discriminant analysis and naive bayes, support vector machines (SVMs) and tree based methods; cross-validation and feature selection; regularization; principal component analysis (PCA) and clustering algorithms. After successfully completing of this course, you will be able to explain the principles of machine learning algorithms and implement these methods to analyze complex datasets and make predictions in Python.

    September 17, 2017 - October 22, 2017 1:00-5:00pm Other Dates
    Data Science with Python: Data Analysis and Visualization

    This class is a comprehensive introduction to Python for Data Analysis and Visualization. This class targets people who have some basic knowledge of programming and want to take it to the next level. It introduces how to work with different data structures in Python and covers the most popular Python data analysis and visualization modules, including numpy, scipy, pandas, matplotlib, and seaborn. We use Ipython notebook to demonstrate the results of codes and change codes interactively throughout the class.

    July 30, 2017 - August 27, 2017 1:00-5:00pm Other Dates
    Deposit Only - Data Science Bootcamp: Intensive 12-Week
    September 18, 2017 - December 15, 2017