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

The rapid technological advances of recent years now require new expertise and skills. To be able to establish themselves in a competitive ecosystem, companies can now base their business strategies on big data and technologies derived from artificial intelligence research (Blockchain, Complex Systems, Scale Automation, etc.).

Upon completion of their training, the student will be able to set up networked and automated databases, operate data warehouses, perform fine analyses and produce detailed reports. This essential work will give a competitive advantage.

The Trebas Institute’s Analytics, Big Data and Business Intelligence program will give you the tools and knowledge you need to help create value for the company you work with.

Become highly-proficient in analytics, BI and big data. Study using industry-standard software programs and online platforms, within a curriculum that is constantly updated to give you an edge in the job market.

Tuition fees

 

French Workshops available!

Check out our Student Services page under "Support for Academic Success" section for more info.

Student Services

 

Key facts

Intakes: January, April, July and September

ELIGIBLE FOR POST-GRADUATION WORK PERMIT

1635 Hours

Domestic Students:
18 Months

International Students:
24 Months

5 Semesters

Full-time

Different schedules available

ACS (Attestation of College Studies)

Program delivered in French or English

Scholarships and Grants

Scholarships and Grants are available for a limited time. *T&Cs apply.

Program Overview

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

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

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

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

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


Get in touch

Inquire today - classes filling quickly

 

Students Hivan Arvizu Soyhivan Unsplash


Skills and Competencies

Throughout this program, you will develop some of the following skills and competencies:

  • Process information related to work environment in the computer field
  • Install and manage computers
  • Use programming languages
  • Solve IT problems with mathematics
  • Use office software
  • Use the principles of programming orientation
  • Operate a database management system
  • Security prevention operations on information security - Interact in a professional context
  • Evaluate software and hardware components
  • Automate computer network management tasks
  • Develop data exchange services
  • And much more!

 

Career Outlook

Our graduates will be able to pursue successful careers in the following roles:

 

  • database administrator
  • data dictionary administrator
  • data administrator
  • database analyst
  • data analyst / computer and systems
  • data repository analyst
  • data mining analyst
  • information resources analyst
  • electronic data processing system analyst
  • electronic data processing analyst
  • database designer
  • data explorer
  • database manager - computer systems
  • data manager
  • computer specialist
  • database management supervisor / computer systems
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