LEA.DT: Analytics, Big Data and Business Intelligence – Montreal

Overview of Term 1

During this term you'll learn: Doing workplace research, tasks and responsibilities related to the database analyst function, analyzing and solving simple problems using basic algorithms, determining error correction strategies, and using debugging tools. You will also learn how to use mathematics applied to solving computer problems. To do this, you will learn to recognize and process the representations of numbers, to represent geometric figures in two dimensions through equations, to model logical reasoning, and to process quantitative data. You'll also learn how to analyze data models, data management system specifications, and to formulate specific queries. Finally, you will learn how to prepare and organize computers, peripherals, and components for different operating systems to ensure their efficiency in performing the tasks required for analysis and database management.

• Introduction to the computer work function - 45h
• Programming and problem-solving languages - 75h
• Mathematics Applied to Computer Science - 60h
• Introduction to database operation - 75h
• Software and hardware environment - 60h

Overview of Term 2

In this term you will learn to use spreadsheets and office tools to produce reports and represent data in tables and graphs. You'll also learn how to program and use databases to their full potential, as well as learn how to analyze, model, and produce algorithms to program instructions and responses to solve a problem. Finally, you will learn how to prepare automation tools that allow information to be massively synchronized from one source to another.

• Reporting: Tables and graphs - 75h
• Data Warehouses - 75h
• Object-oriented programming- 105h
• Middleware technology : Extracto-loaders - 90h

Overview of Term 3

During this term you will learn: To interpret data in order to formulate prognostics and hypotheses related to future trends and the effects of behaviors and events. You will also learn how to analyze baseline data (products, customers, accountants, etc.) to produce reports to prevent and predict change for the company. You will also learn how to carry out information security prevention activities such as risk analysis and the application of recognized measures (access rights strategies, safeguarding, use of cryptography utilities, authentications, etc.). Finally, you'll learn how to write, test, and execute automation scripts for different operating systems for recurring network management tasks.

• Predictive modeling process for big data - 75h
• Non-transactional master data analysis - 90h
• Cybersecurity and block chain - 105h
• Automation and artificial intelligence - 60h

Overview of Term 4

During this term you'll learn how to produce charts, graphs, and diagrams to visualize data collected using specialized tools and office suites, and facilitate business decision-making. You'll also learn how to plan the logic of data exchanges between apps, browsers or connected objects, how to use databases, how to program a test application, how to provide quality control, how to deploy the solution or service while keeping a clear and useful log or tracking documentation. Finally, you will learn the attitudes and skills needed to facilitate your integration into the IT job market, how to introduce yourself, and how to develop your own network.

• Charts, maps and dashboards - 75h
• Computerized data exchange - 75h
• Predictive analytics and business intelligence - 105h
• Computer job integration - 60h

Overview of Term 5

In this final term, you will learn: To establish professional relationships with clients and users through your attitudes and behaviors, to work and integrate into an interdisciplinary team, and to understand your ethical and legal responsibilities as a professional analyst. You will have the opportunity, through a 330h internship, to integrate all the learnings made during your program.

• Internship in analytics, mega data and business intelligence - 330h