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View our Virtual tourCourses - September 2023
Level 1
Course details
Conestoga 101
CON0101
- Hours: 1
- Credits: 0
- Pre-Requisites:
- CoRequisites:
Data Analytics
INFO8066
- Hours: 70
- Credits: 5
- Pre-Requisites:
- CoRequisites:
SQL and Data Analysis
INFO8076
- Hours: 56
- Credits: 4
- Pre-Requisites:
- CoRequisites:
Business Intelligence Tools
INFO8086
- Hours: 56
- Credits: 4
- Pre-Requisites:
- CoRequisites:
Big Data Analytics
INFO8096
- Hours: 70
- Credits: 5
- Pre-Requisites:
- CoRequisites:
Project Management
MGMT8666
- Hours: 56
- Credits: 4
- Pre-Requisites:
- CoRequisites:
Level 2
Course details
Career Management
CDEV8132
- Hours: 28
- Credits: 2
- Pre-Requisites:
- CoRequisites:
Big Data Architecture
INFO8116
As the foundation for big data analytics, data architecture is used to steer data analytics to become a standard part of organizational decision-making. Students will establish a set of processes, standards and models that govern and define the type of data collected and how it is used, stored, managed, and integrated within an organization and its database architecture.
- Hours: 56
- Credits: 4
- Pre-Requisites:
- CoRequisites:
Data Acquisition, Analysis and Visualization
INFO8126
- Hours: 56
- Credits: 4
- Pre-Requisites:
- CoRequisites:
Descriptive Analysis
INFO8136
Descriptive analysis is at the foundation of all data insight and answers the “what happened” question by summarizing past data. Students will complete case studies using data sets from different major areas of business operations to produce Descriptive Analytics knowledge useful to decision makers. Individual and small teamwork is required for this course.
- Hours: 56
- Credits: 4
- Pre-Requisites:
- CoRequisites:
Diagnostic Analysis
INFO8146
Diagnostic analysis takes the insights found from descriptive analytics and drills down to find the causes of those outcomes. Students will practice diagnostic analysis with a variety of case studies using best practices such as conducting process/system analysis, critical thinking, data extraction, regression analysis, model building, and data mining. Recent history of diagnostic analytics and the events' impacts on business and society will be explored.
- Hours: 56
- Credits: 4
- Pre-Requisites:
- CoRequisites:
Management and Leadership Essentials
MGMT8761
- Hours: 42
- Credits: 3
- Pre-Requisites:
- CoRequisites:
Program outcomes
- Manipulate mined data sets to create actionable insights that meet an organizational need.
- Recommend different systems architectures and data storage technologies to support data2. analytics.
- Customize data models to manipulate data into actionable information that meets the needs of a specific business process.
- Design and present data visualizations to communicate information to business stakeholders.
- Apply business analytics and business intelligence tools to support evidence-based decision making.
- Employ environmentally sustainable practices to meet organizational goals within the field of data analytics.
- Apply basic entrepreneurial strategies to identify and respond to new opportunities