Credential: Post-Graduate Certificate, Data Analytics
As a Data Analyst, you will analyze information and data to prepare thoughtful insights and recommendations.
Learn how to use historical and current data to make predictions about future outcomes. Students will study predictive analytic techniques like statistical modelling and forecasting to prepare insights and understand potential scenarios.
You'll also learn prescriptive analytics techniques where you'll apply logic and mathematical principles to support decision-making processes. Learn optimization and simulation techniques and prepare recommendations based on models.
Graduates of this program will possess the knowledge, skills and aptitude to apply fundamental principles of data analytics, aligning data with business decision-making processes.
Students are required to bring their own laptops for this program. which must meet the following technical requirements:
Minimum: 4 Cores or more Intel Core i5 10th generation AMD Ryzen 5 5000 Series
An overview of the Occupational Health and Safety Act of Prince Edward Island. Students examine the legislation, how PEI employees are protected while on the job and the responsibilities of employees and employers.
The Business Principles course provides an overview of business organizational elements, behaviours and practices as applied in Canada and globally.
In this course, you will learn data manipulation and modelling skills. You will gain insights into the formats and styles of data that can be collected, developed, and queried. Using data analysis, you will develop a story that can be communicated to inform organizational decisions.
Business Context for Data Analysis
Introduces the use of data to meet the needs of an organization and apply data in decision making. Understand a balanced approach to integrating data decisions in business processes and strategic alignment.
Statistical Analysis of Data
Using statistical methods to sort, summarize, and gain insight into data. Using various statistical methods to analyze data sets with the purpose of communication to business decision makers.
Predictive Analytics (IBM)
This IBM Skills Academy course will cover essential analytics models to collect and analyze data efficiently. This will require skills in predictive analytics models, such as data mining, data collection and integration, nodes, and statistical analysis. Tools for market research and data mining in order to predict problems and improve outcomes will be used.
Business Analytics With Excel
Using Excel and associated plug-in tools, students will learn how this popular and industry standard software program can be used effectively to analyze data. Running models and analysis tools within the Excel program to present processed data to decision makers.
Business Intelligence Reporting (IBM)
This IBM Skills Academy course provides professional report authors an opportunity to learn report building techniques using relational data models. Attendees will also learn techniques to enhance, customize, and manage professional reports.
Advanced Concepts in Data Analytics
In this course students will explore advanced data analysis concepts including aching learning, natural language processing, deep learning, artificial intelligence, and probabilistic programming. Students will also examine trends in predictive and prescriptive analytics, as well as developments in loT and cloud computing.
Data Analytics Capstone Project
This capstone project for the Data Analytics program presents the framework for students to complete a synthesis of the program outcomes and learning in a final, demonstrative manner.