Programs & Courses
Programs & Courses
The courses in our Certificate in Data Science program were developed to provide you with the industry skills and knowledge you need to succeed in the data analytics sector.
Course Descriptions
DAT 110 – Statistics for Data Science
This course serves as an introduction to the basic concepts and computations used
in statistical analysis as well as an introduction to tools and technologies used
in data science. Topics include graphical and numerical representation of data, distributions,
sampling distributions, Central Limit Theorem, confidence intervals, and linear, multilinear
and logistic regression. Students will work with real-life data sets and use Microsoft
Excel and R Studio throughout the course to help with analysis and visualization.
Prerequisite: MTH 102 or placement.
DAT 210 – Data Visualization with Tableau Software
DAT 210 will introduce you to data visualization with Tableau software. Topics include
connecting to data files, data preparation, dashboards and story points. In addition
to Tableau-specific topics, we will explore and discuss best practices for creating
effective visualizations and history of visual data storytelling. You will work with
real-life data sets and complete a project. Prerequisites: CIS 107 or CIS 150 or MTH
140.
DAT 230 – Programming Fundamentals with Python
This course will introduce you to computer programming in general as well as Python
tools for data science. Topics will include Python basics, data structures, selection
and repetition, and working with data in Python. You will explore reading and writing
files, and loading real world data sets with Pandas. Prerequisite: DAT 210 or CIS
150 or placement.
DAT 330 – Data Analytics with Python
DAT 330 focuses on using Python to analyze datasets from different sources. Topics
will include regular expressions, data wrangling, natural language processing, and
machine learning. You will learn how to prepare data for analysis, perform statistical
analysis, create meaningful data visualizations, and predict future trends. Prerequisite:
DAT 230 or placement.
DAT 470 – Capstone Project in Data Science
You will work in small teams to explore, examine and solve a real-life problem. Questions
and data for the projects will come from industry partners. Prerequisite: DAT 330