Introduction to Data Science

Introduction to Data ScienceHours: 3 0 3

Introduction to Big Data Analytics, Data Analytics Lifecycle, Advanced Analytical Theory, and Methods: Association Rules, Regression, Classification, Time Series Analysis, Text Analysis, MapReduce and Hadoop, Setting up Python for Data Science, Cross-validation and optimization, Linear Algebra, Statistics, Probability, Hypothesis, and Inference.

Pre-requisites: CS221Co-requisites: CE

Hours: XYZ where X = Lecture, Y = Lab, Z = Credit
All hours are per week.
3 Lab hours constitute 1 credit hour
1 credit hour implies 1 lecture of 50mins per academic week. 16 weeks in total.
Pre-Requisite courses are courses required to be completed before this course may be taken
Co-Requisite courses are courses required to be taken along with this course