Study Supply Chain Management at Conestoga College in Canada 🇨🇦
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Course Details
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
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
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
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
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
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
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
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
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
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
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
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