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Thai-Nichi Institute of Technology Student Handbook 2019 International Program
DSA-105 Introduction to Data Science 3(3-0-6)
Prerequisite : None
Corequisite : None
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 funda-
mentals of data science. The focus of the topic will be on the breadth of knowledge and the
applications to problem-solving.

DSA-106 Introduction to Business Data Analytics 3(3-0-6)
Prerequisite : None
Corequisite : None
Essential technologies for data collection, data storage, and data analysis. Under-
stand three types of business analytics: descriptive analytics, predictive analytics and pre-
scriptive analytics. Data access and views of the multidimensional model of business to as-
sist 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 : None
Corequisite : None
Data structure and algorithms for efficient programming, the study of data struc-
ture, strings, arrays, records, indexes, lists, stacks, queues, recursion, trees, graphs, algo-
rithms, data search, data sorting, algorithm design and analysis using various data types.

DSA-201 Data Wrangling 3(3-0-6)
Prerequisite : None
Corequisite : None
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.