Data Science and Artificial Intelligence

Combination of

• Integrated Learning System™ training facilitated by Academy of Learning Career College facilitators
• Instructor-led classroom learning

Careers in data science and artificial intelligence are increasingly growing. They include, but are not limited to:

• Data Scientist
• Statistician/Statistics Officer
• Big Data Developer
• Data Analyst
• Machine Learning Engineer

These and similar career paths can be realized through the employment with businesses and organizations in a variety of industries, not limited to just the IT industry.

In this area, duties and responsibilities may include, but are not limited to the following:

• Perform statistical analyses and develop algorithms to be used in automated analysis
• Evaluating state-of-the-art statistical modelling and machine learning approaches using large amounts of historical data
• Design artificial neural networks that extract patterns from large-scale sequencing databases
• Perform data analysis, visualization, and modeling with large datasets
• Perform data acquisition, cleaning, and transformation
• Take analytical objectives and define data requirements
• Work with unstructured data from social media, video feeds, audio, or other sources to extract, clean, and transform customer and item-level statistical data for purposes analysis, modelling/segmentation, and reporting
• Implement advanced machine learning techniques and statistical and econometric models to pricing, assortment, and marketing mix
• Interpret, document, and present/communicate analytical results to multiple business disciplines, providing conclusions, and recommendations based on customer centric data
• Identify, develop, and make recommendations for process improvements and best practices

Grade 12 or equivalent or Mature Student status.

Courses are open to any applicant who possesses a good command of the English language and is able to follow instructions.

An admissions interview will be administered to determine if the applicant has the required interest, motivation, and entry-level skills to take this program.

Students must attend the required hours and times per week per the course schedule.

• Strong technical background in computing and data work
• Excellent analytical and technical problem solving skills
• Excellent English communication skills (written and oral)
• Good knowledge of database architectures
• Collaborative team player with a positive self-motivated can-do attitude
• Self-motivated
• Detail-oriented
• Ability to effectively manage time and stress

• Identify, gather, and implement requirements
• Use modelling tools and develop enhanced models
• Develop and document models
• Develop functional, business, and system interface or capability interaction
• Gather and analyze information to establish the technical needs of a system or project
• Develop and maintain functional standards for the functional framework
• Document and develop forms, manuals, programs, data files, and procedures
• Provide advice, analysis, configuration, implementation, and problem resolution for Hadoop
• Create Attribute, Analytic, and Calculation views and use them in various reports
• Develop complex business reporting and analytics models
• Be knowledgeable in machine learning techniques and artificial intelligence
• Be familiar with methodologies used in business
• Communicate and take leadership
• Good understanding of most popular data science tools used in Canada
• Efficient usage of modelling and analytics tools
• In-depth knowledge of big data management and data modelling
• Reporting and documentation skills
• Proficiency with programming languages including SQL, Python, and R
• Ability to do automation through artificial intelligence
• Understand and work with major big data tools in Canada