Decisions powered by data.
The field of data analytics has rapidly emerged as a critical component of businesses across all industries, with an ever-increasing volume of data generated each day. Professionals in data analytics are responsible for using data to uncover insights that can inform important business decisions and improve overall performance. As a result, there is a high demand for skilled professionals who can work with data and extract actionable insights.
This two-semester data analytics program has been designed to equip you with the necessary skills and knowledge to excel in the field of data analytics. The program is tailored for individuals seeking to launch a career in data analytics, as well as professionals who seek to upskill or re-skill in data analytics.
The program is structured around two semesters, which are carefully curated to cover a comprehensive range of topics in data analytics. You will begin with an overview of the field and its impact on business performance and decision-making processes. Throughout the program, you will learn how to create effective data-driven strategies that can overcome challenges and capitalize on opportunities. You will also gain hands-on experience using a variety of tools and technologies commonly used in the industry and various business analytics reporting tools. You will learn how to manipulate, transform, model, and visualize data for analytical purposes and create interactive dashboards, graphs, and visualizations to effectively communicate insights from data.
You will have access to a range of resources, including hands-on exercises, case studies, and real-world projects designed to enhance your understanding and application of data analytics concepts and techniques.
The program includes an industry-specific capstone project, where you will apply your knowledge and skills to solve a real-world problem while honing your critical thinking, problem-solving, project management, and presentation skills.
Program Highlights
- Transfer (and transform) data from different platforms into usable contexts
- Convert a data analytic problem and related information into a proper representation
- Identify the appropriate methodologies for analysis based on attributes of the available datasets
- Adhere to ethical practices for the collection and storage of data
- Communicate results of data analysis in written, oral and visual form
- Learn to select the appropriate methods and tools for data analysis in specific organizational contexts
- Become proficient with specialist data visualization packages and tools
Did You Know?
- Global expert in web analytics, Avinash Kaushik, wrote the definition in 2007 for data analytics as, “…the analysis of qualitative and quantitative data from your business and the competition to drive a continual improvement of the online experience that your customers and potential customers have which translates to your desired outcomes (both online and offline).”
- The ICTC forecasts Canada’s demand for digital talent will reach 2.6 million by 2026 with the addition of 250,000 new jobs, with data-driven roles leading the pack.
- According to a recent KPMG global survey, organizations are investing heavily in technology to build longer-term competitiveness and operational resilience.[1]
- According to research by global talent leader Deloitte, digital transformation drives financial performance.[2]
OBJECTIVES
Upon successful completion of this program graduates will be able to:
- Assist in evaluating the impact of data analytics on business performance and decision-making processes
- Prepare reports for both internal and external audiences using various business analytics reporting tools
- Use tools to prepare, transform, model, and visualize data
- Create interactive dashboards, graphs, and visualizations to effectively communicate insights from data
- Utilize measures of central tendency and data visualization techniques to compare datasets and draw insights from data
- Write programs to solve practical problems in a programming language commonly used for general-purpose scripting and software development
- Utilize version control in a collaborative software development environment
- Use databases to retrieve, insert, delete, and update data stored in relational database systems
- Manipulate, reshape, summarize, and analyze data
- Create data visualizations to gain insights from various sources, and summarize data
- Apply supervised, and unsupervised learning to create predictive models
EMPLOYMENT OPPORTUNITIES
The data analytics profession is a dynamic and growing field that offers many opportunities for skilled workers. The demand for data analytics is expected to increase in the coming years, as more organizations rely on data to make informed decisions and improve their performance. These roles can be included, but not limited to:
- Data Analyst
- Applications Analyst
- Technical Designer
- Data & Research Analyst
- Business Intelligence Analyst
- Business Data Analyst
- Business System Analyst
ENTRANCE REQUIREMENTS
Eligibility for admission requires the applicant to meet the following academic criteria:
Graduation from a recognized College or University with a two or three-year diploma or degree. A combination of post-secondary and industry experience acceptable to the college will be considered on a case-by-case basis.