| Introduction to Data Science | Hours: 3 0 3 |
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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: CS221 | Co-requisites: CE |
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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
