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Data Science

Prerequisites
 Problem solving using computers
 Basic mathematics and statistics
 Knowledge of Databases
Course Objectives
 Provide students with knowledge and skills for data-intensive problem solving and
scientific discovery
 Be prepared with a varied range of expertise in different aspects of data science such as
data collection, visualization, processing and modeling of large data sets.
 Acquire good understanding of both the theory and application of applied statistics and
computer science based existing data science models to analyze huge data sets
originating from diversified application areas.
 Be better trained professionals to cater the growing demand for data scientists in
industry.
Course Outcomes
On completion of the course, student will be able to–
 Perform Exploratory Data Analysis
 Obtain, clean/process, and transform data.
 Detect and diagnose common data issues, such as missing values, special values,
outliers, inconsistencies, and localization.
 Demonstrate proficiency with statistical analysis of data.
 Present results using data visualization techniques.
 Prepare data for use with a variety of statistical methods and models and recognize how
the quality of the data and the means of data collection may affect conclusions.