In order to register in COMP 4254 students must have completed all prerequisites. This is the final course for the Applied Data Analytics Certificate (ADAC) from BCIT Computing and assumes students have completed both MATH 3060 and COMP 2854 prior to this course. Building on statistics, data mining, Python for Data Analysis and visualization techniques, students who have completed the core requirements of ADAC will be able to integrate these advanced topics into a data analytics project. Participants are introduced to emerging sources of digital mapping data, data standards, mapping compilation procedures, mapping systems, plus an introduction to cartography tools and techniques in data analytics and Big Data. Labs and exercises use Excel, Python and Apache Spark for data mining with a focus on Business Intelligence and Big Data. Discussions also include NoSQL databases, and Hadoop. Students learn to work with a variety of structured and unstructured data sources to model, analyze and visualize data. Upon successful completion, participants will be able to present an advanced data analytics project start-to-finish.
“You are responsible for the specific prerequisite knowledge for this course. Your instructor cannot be expected to review prerequisite materials so please do not ask. The department could withdraw you from this course if you do not have the prerequisites or equivalent. Late registration is not permitted.
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Upon successful completion of this course, the student will be able to:
Use emerging technologies to manage and access Big Data.
Apply artificial intelligence techniques for data analytics.
Create advanced models for data analytics.
Compare and contrast the effectiveness of different tools for different data analytics problems.
Create effective data visualization using advanced techniques.
Apply data mining techniques for knowledge extraction in Excel and Python.
Conduct predictive and prescriptive analytics with Big Data.
Work with data lakes using NoSQL databases and Apache Spark.
Use integration tools to model and analyze data from disparate sources, both structured and unstructured.
Describe the roles of emerging tools in addressing data challenges.
Effective as of Fall 2017
COMP 4254 is offered as a part of the following programs:
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