Business Analytics

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Courses - September 2025

Level 1

Course details

Conestoga 101
CON0101

Description: This self-directed course focuses on introducing new students to the supports, services, and opportunities available at Conestoga College. By the end of this course, students will understand the academic expectations of the Conestoga learning environment, as well as the supports available to ensure their academic success. Students will also be able to identify on-campus services that support their health and wellness, and explore ways to get actively involved in the Conestoga community through co-curricular learning opportunities.
  • Hours: 1
  • Credits: 0
  • Pre-Requisites:
  • CoRequisites:
  • Estimated required text and/or learning resource costs: No cost.

Data Analytics
INFO8066

Description: Every business needs its data analyzed and turned into useful information. In this course, students will practice data manipulation and modelling to present information based on industry standards. Using typical software found in business, we will apply various features to examine data sets in order to draw conclusions about the information they contain.
  • Hours: 70
  • Credits: 5
  • Pre-Requisites:
  • CoRequisites:
  • Estimated required text and/or learning resource costs: No cost.

SQL and Data Analysis
INFO8076

Description: Identification of relevant metric points and how to gather, manipulate, format, and present data as valuable information to the end-user is essential to modern business operations. This course will provide students with the opportunity to perform data analysis using SQL at an intermediate level with an emphasis on enterprise and open-source SQL systems. Students will explore the structure of databases, schemas and relations, data tables and how to leverage SQL to extract, load and transform data in relation to business-driven results that support decision-making.
  • Hours: 56
  • Credits: 4
  • Pre-Requisites:
  • CoRequisites:
  • Estimated required text and/or learning resource costs: $50.45

Business Intelligence Tools
INFO8086

Description: You will be able to visualize data analysis and present reports to non-technical professionals for business decision making. Students will work with a suite of tools to create, manage, and present reports that can leverage the information to justify business strategies.
  • Hours: 56
  • Credits: 4
  • Pre-Requisites:
  • CoRequisites:
  • Estimated required text and/or learning resource costs: No cost.

Big Data Analytics
INFO8096

Description: Students will investigate the new areas of data science, data architecture, and analytics as well as various challenges/opportunities companies have with big data. Students will learn how to ask better questions to turn data into valuable insights and will be introduced to many of the techniques/tools popular in the data analytics world.
  • Hours: 70
  • Credits: 5
  • Pre-Requisites:
  • CoRequisites:
  • Estimated required text and/or learning resource costs: No cost.

Project Management
MGMT8666

Description: Project management has become central to the operations of any organization. This course focuses on the general principles of project management as well as Agile Project Management and its methodologies. This course takes a holistic, integrated approach to managing projects, exploring both technical and managerial challenges. Students will apply skills gathered from examining real-world cases into simulated projects done in the classroom. This course will help prepare students to write the Project Management Institute (PMI) exams to become a Certified Associate in Project Management (CAPM).
  • Hours: 56
  • Credits: 4
  • Pre-Requisites:
  • CoRequisites:
  • Estimated required text and/or learning resource costs: $192.00

Level 2

Course details

Career Management
CDEV8132

Description: This course focuses on career management skills needed to navigate the evolving workplace. Students will evaluate their skills, attitudes, and expectations within their chosen careers and explore emerging trends in the workplace. Students will refine their networking strategies and create marketing documents to position them for success. Mock interviews will provide the opportunity for practice, feedback, and reflection as students prepare for future interviews. Students will explore communication strategies that support workplace success and advancement. By the end of this course, students will have created a personalized career management plan.
  • Hours: 28
  • Credits: 2
  • Pre-Requisites:
  • CoRequisites:
  • Estimated required text and/or learning resource costs: $10.55

Big Data Architecture
INFO8116

Description:

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:
  • Estimated required text and/or learning resource costs: No cost.

Data Acquisition, Analysis and Visualization
INFO8126

Description: Students will work with many of the techniques required to acquire, transform, de-identify and manipulate data to turn it into actionable insights that are paramount to making sound business decisions. Students will examine topics around data validation and data manipulation, as well as summarize data in a variety of reports and dashboards.
  • Hours: 56
  • Credits: 4
  • Pre-Requisites:
  • CoRequisites:
  • Estimated required text and/or learning resource costs: No cost.

Descriptive Analysis
INFO8136

Description:

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:
  • Estimated required text and/or learning resource costs: No cost.

Diagnostic Analysis
INFO8146

Description:

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:
  • Estimated required text and/or learning resource costs: No cost.

Management and Leadership Essentials
MGMT8761

Description: In this course, students will enhance their understanding of leadership and management approaches in Canadian organizations. Emphasis on developing effective management strategies including, professional communication, planning, decision making, conflict resolution, effective team building and navigating change. Key concepts include professionalism, adaptability, boundaries and resourcefulness.
  • Hours: 42
  • Credits: 3
  • Pre-Requisites:
  • CoRequisites:
  • Estimated required text and/or learning resource costs: No cost.

Please note:

Estimated required text and/or learning resource costs are based on the most recent available data through the Conestoga Campus Store.

Program outcomes

  1. Manipulate mined data sets to create actionable insights that meet an organizational need.
  2. Recommend different systems architectures and data storage technologies to support data2. analytics.
  3. Customize data models to manipulate data into actionable information that meets the needs of a specific business process.
  4. Design and present data visualizations to communicate information to business stakeholders.
  5. Apply business analytics and business intelligence tools to support evidence-based decision making.
  6. Employ environmentally sustainable practices to meet organizational goals within the field of data analytics.
  7. Apply basic entrepreneurial strategies to identify and respond to new opportunities