Building Interactive Web Applications for Data Analysis or return to Course Catalog Search
CSCI E-14a (15880)
|Harvard Extension School||Computer Science||Zona Kostic PhD|
|Term||Day and Time||Location|
|Fall 2019 (show academic calendar)||Tu 6:00 p.m. - 8:00 p.m.||53 Church Street 203|
This course introduces students to essential aspects of data-driven web applications and covers techniques for creating custom solutions with the ML programming language. Python-based frameworks and visualization libraries are used to build fully functional project architectures for interactive exploratory data analysis. Students learn how to process data into a web application taking care of both front-end visual attractiveness and back-end functionality. Specifically, the course covers understanding the web and its components, working with supervised machine learning techniques and frameworks, designing of effective interactions and data visualizations, and working with relational and non-relational databases. Upon completion, project setups are deployed to the cloud infrastructure, leveraging the dynamic nature of data-intensive applications.<br /> <br /> Prerequisites: Familiarity with Python programming language, basic data science concepts, and experience with front-end development. Some experience with data visualization is useful, but not required. Students who attend the on-campus classes should bring a laptop with them.
On campus only.<br /> <br /> Required sections Thursdays, 6-7:30 pm. Required section Thursday, September 19 from 6-9 pm.<br /> <br /> Graduate credit $2,840.<br /> <br /> See <a href="http://www.extension.harvard.edu">http://www.extension.harvard.edu</a>
|Not eligible for cross-registration|