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DSA-105 Introduction to Data Science 3(3-0-6)
Prerequisite : No
Corequisite : No
Basics of data science. Understand the data collection and analysis to increase the potential
in business competitiveness including marketing, decision making, product improvement, directions
and trends. Study the tools and techniques based on the fundamentals of data science. The focus of
the topic will be on breadth of knowledge and the applications to problem solving.

DSA-106 Introduction to Business Data Analytics 3(3-0-6)
Prerequisite : No
Corequisite : No
Basic technologies for data collection, data storage, and data analysis. Understand three
types of business analytics: descriptive analytics, predictive analytics and prescriptive analytics.
Data access and views of multidimensional model of business to assist an organization to make
better business decisions. Discuss the applications for business data analytics including decision
support systems, questionnaire and report generation, and using the result to guide the business
planning.

DSA-107 Data Structure and Algorithm 3(3-0-6)
Prerequisite : No
Corequisite : No
Data structure and algorithms for efficient programming, study of data structure, strings,
arrays, records, indexes, lists, stacks, queues, recursion, trees, graphs, algorithms, data search, data
sorting, algorithm design and analysis using various data types.

DSA-201 Data Wrangling 3(3-0-6)
Prerequisite : No
Corequisite : No
Process of data acquisition, cleaning, presentation, and automation. Installation and setup,
basic data types, variables, lists and dictionaries, read files of different formats such as CSV, JSON
and XML. Acquiring and storing datasets, data cleanup including formatting data, finding outliers
and bad data, finding duplicates, regular expression matching, data exploration and analysis, web
scraping, automating data collection and analysis.