The Data Analytics for Business program prepares students to visualize past, present, and future patterns by linking and presenting information in meaningful ways. The area of data analytics offers deeper insight and meaning of data sets for users by telling the story behind the information. This type of detailed and defined information enables graduates to effectively predict trends, understand the needs of customers, as well as make more informed business decisions.
Students will learn a unique blend of theoretical knowledge and advanced applicable skills. Students will also learn large scale data manipulation, how to collect, curate, encode, and store data sets, which can be analyzed and mined in ways that can be reused and repurposed to solve challenges and predict future patterns for business decision making. Students will gain critical thinking skills that demonstrate the ability to use existing and discoverable data to solve business problems.
Graduates may find employment across almost all public or private sectors. Positions within these sectors include data analyst, business analyst, quantitative analyst, digital marketing, project manager, operations analyst, transportation logistics, systems analyst. Those with an entrepreneurial spirit may prefer self-employment opportunities within the field such as data analytics consultants or design of data management solutions.
Diploma or degree in a relevant field from a recognized college or university or demonstrated competence through related work.
International Students: See Admission Policies for details.
MINIMUM RECOMMENDED HARDWARE
- Intel I7 or AMD A10 processor or better with a chipset that must support virtualization
- 16 GB of RAM
- 1 TB hard drive
- Ethernet Network Card
- Wireless Network Card
- One USB 3.0 port (two preferred)
- 3 Yr comprehensive parts and labour (Recommended)
- Windows 10 Professional Edition
The curriculum below is for incoming students:
|DAB100||Introduction To Data Analytics||3|
|DAB501||Basic Statistics And Exploratory Data Analysis||5|
|DAB101||Introduction To Artificial Intelligence||2|
|DAB103||Analytic Tools And Decision Making||5|
|DAB200||Machine Learning I||5|
|DAB201||Data Visualization And Reporting||4|
|DAB502||Advanced Statistics For Data Analytics||5|
|DAB202||IT Service Management||3|
|DAB203||Business Analytics And Decision Making||4|
|DAB300||Machine Learning II||5|
|DAB301||Project Management Analytics||4|
|DAB302||Ethics For Analytics||2|
|DAB400||Supply Chain Analytics||5|
Program Vocational Learning Outcomes
Data Analytics for Business (Ontario College Graduate Certificate) (70717)
The graduate has reliably demonstrated the ability to:
- Analyze, organize, and manipulate data to support problem-solving, business decision-making, and opportunity identification.
- Develop statistical and predictive models that use business-relevant data to identify patterns and provide insights to business stakeholders.
- Assess and apply business intelligence and data science tools appropriate to the business decisions, business problems, data movement, and system workloads.
- Prepare and communicate complex materials verbally, in writing, and digitally for a variety of audiences, purposes, and levels of detail.
- Prepare, analyze and interpret data as it relates to various aspects of a business organization’s needs.
- Conduct data analysis and research in a respectful and ethical manner that protects privacy and maintains dignity to all involved.
- Deliver data-oriented projects using data science, business analysis, and project management principles, tools, and techniques to ensure clients' business needs are achieved.