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Courses - May 2022

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:

Data Analytics
INFO8065

Description:

Every business needs its data analyzed and turned into useful information. Using typical software found in business, we will apply various features to examine and manipulate data sets in order to draw conclusions about the information they contain. Students will also practice more complex communication skills with an emphasis on listening, interpretation, speaking, and presentation proficiencies to expand on analytical communications.

  • Hours: 70
  • Credits: 5
  • Pre-Requisites:
  • CoRequisites:

SQL and Data Analysis
INFO8075

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 give students an opportunity to perform data analysis using Excel and SQL at an intermediate level with a primary focus on enterprise SQL systems. Students will explore the structure of databases, data, and how to properly leverage datasets to create value for an organization by extracting deeper meanings, patterns, and business-driven results that support decision-making activities.

  • Hours: 56
  • Credits: 4
  • Pre-Requisites:
  • CoRequisites:

Business Intelligence Tools
INFO8085

Description:

Business needs people who can effectively visualize data analysis so non-technical people can understand the outcome and make decisions. Students will work with a suite of tools to create, manage and deploy reports that can leverage the information and build decision support.

  • Hours: 56
  • Credits: 4
  • Pre-Requisites:
  • CoRequisites:

Big Data Analytics
INFO8095

Description:

Students will investigate the new areas of data science, data architecture and analytics as they investigate some of the mistakes companies make 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 tools popular in the data analytics world.

  • Hours: 70
  • Credits: 5
  • Pre-Requisites:
  • CoRequisites:

Project Management
MGMT8665

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:

Level 2

Course Details

Career Management
CDEV8130

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:

Big Data Architecture
INFO8115

Description:

As the foundation for big data analytics, data architecture is used to steer its data analytics work. Students will establish a set of rules, policies, 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 systems.

  • Hours: 56
  • Credits: 4
  • Pre-Requisites:
  • CoRequisites:

Data Acquisition, Analysis and Visualization
INFO8125

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:

Descriptive Analysis
INFO8135

Description:

Descriptive analysis is at the foundation of all data insight and answers the “what happened” question by summarizing past data. Descriptive analysis helps describe, show, or summarize data in a meaningful way that highlights where patterns might emerge from the data. We will consider the basic concepts, graphs and the most important descriptive statistics that help us to spot interesting patterns concerned with the basics of probability and necessary to make predictions.

  • Hours: 56
  • Credits: 4
  • Pre-Requisites:
  • CoRequisites:

Diagnostic Analysis
INFO8145

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 the best practices such as asking prudent questions, recommending a variety of solutions, conducting systematic analysis, employing a variety of approaches, and leveraging experience learned from others.

  • Hours: 56
  • Credits: 4
  • Pre-Requisites:
  • CoRequisites:

Management and Leadership Essentials
MGMT8760

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:

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