Description
This course is an introduction to modern data science. Data science is the study of how to extract actionable, non-trivial knowledge from data. The course will focus both on the software tools used by practitioners of modern data science, as well as the mathematical and statistical models that are employed in conjunction with such software tools. On the tools side, we will cover the basics of relational database systems, as well as modern systems for manipulating large data sets such as Hadoop MapReduce, Apache Spark, and Google’s TensorFlow. On the models side, the course will cover standard supervised and unsupervised models for data analysis and pattern discovery.
General Information
Online meeting location (first five classes)
On-campus meeting location
Class will be held Monday, Wednesday, Friday from 2:00 to 2:50 in Herzstein Amphitheater.
Name | Office Hours | |
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Chris Jermaine | When? Where? | |
Gabriel Meriano | When? Where? | |
Liubove Orlov Savko | When? Where? | |
Carla Sipahioglu | When? Where? | |
Qiliang Lai | When? Where? |