COURSE OBJECTIVES

– Understand basic concepts of statistics and probability and their application in understanding behavior of data
– Apply basic tools for performing exploratory data analysis and visualization
– Understand basic predictive modeling and data analysis methods
– Learn Python for performing different data science steps

COURSE LEARNING OUTCOMES (CLO)

CLO: 1. Understand basic concepts of data science, statistics and probability and their application in understanding behavior of data.
CLO: 2. Apply basic tools for performing exploratory data analysis and visualization.
CLO: 3. Understand basic predictive modeling and data analysis methods
CLO: 4. Learn Python for performing different data science steps

COURSE CONTENTS

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– Introduction to Data Science
– Statistical Analysis
– Visualizing Data
– Algorithms and Spam Filters
– Logistic Regression
– Time Stamp and Financial Modeling
– Recommendation Engines
– Data Engineering
– Revision, project presentation and discussions