The Data Science curriculum offers in-depth instruction in data science and machine learning along with practical experience using important tools and technologies, such as Python, Tableau, and machine learning ideas. The final project for this course will prepare you for employment by giving you practical experience that can be applied to real-world challenges.
Data professionals are in great demand; according to the job bank of Canada, Over the years 2019 to 2028, a countrywide labor shortage is anticipated for this occupational category.
Get trained by Industry ExpertsOur courses are delivered by professionals with years of experience having learned first-hand the best, in-demand techniques, concepts, and latest tools.
Project-Based LearningOur curriculum is kept up to date with the latest industry trends ensuring all our graduates are prepared for the job market.
Learn while you WorkWorking closely with our industry expert instructors, they can provide guidance and help you network within the field, providing you with a unique advantage in the workforce.
State of the Art InfrastructureState of the Art facility with over 20 labs, Data centers and server setups in the core of the downtown hub, giving access to , transit, business & entertainment districts.
24/7 Lab accessOur students have access to their labs and course materials at any hour of the day to maximize their learning potential and guarantee success.
Data ScientistDownload Outline
Learn about Data Science—what it is, who works as a Data Scientist, and what can be achieved through the discipline.
You will receive a thorough introduction to Python's data analytics tools and methods in this course. It will introduce data cleaning and manipulation techniques.
The abstraction of Series and DataFrame as the key data structures for data analysis will also be covered, as well as tutorials on how to effectively use group by, merge, and pivot tables.
Students will graduate with the ability to take tabular data, clean it, manipulate it, and perform fundamental statistical analyses.
Having advanced skills in Python is crucial for many data science roles. In this course, you will continue to build on the Python programming skills you acquired in the previous class by applying them to analytical projects.
You will learn Python for data science together with concepts such as data wrangling, mathematical computing, and more using a blended learning approach.
Data Science with Python training can help you advance your career as a data scientist.
In this course you will learn how to use SQL to store, query, and manipulate data.
SQL is a special-purpose programming language designed to manage data in a relational database and is used by many apps and organizations across the globe.
This course aids in your mastery of Tableau Desktop -a widely used corporate intelligence, reporting, and data visualization tool. With the help of our Tableau training, you may advance your analytics profession and acquire employable skills.
Employers value Tableau skills highly for data-related positions, and our course teaches you how to utilize the tool efficiently for data preparation, interactive dashboard creation, the addition of different dimensions, and in-depth analysis of outliers.
The mathematical underpinnings of machine learning are given at the start of this course. Before moving on to multivariate and logistic regression, it begins with a review of linear algebra and univariate linear regression.
Furthermore, it switches topics every week to cover a wide range of machine learning models and approaches. Deep learning, support-vector machines, and principal component analysis are a few of these.
Finally, it discusses relevant practical issues like how to plan and use significant machine learning initiatives. You'll have a thorough understanding of machine learning, its ideas, and its methodologies at the end of the course. In addition, you'll be able to use core machine learning algorithms like k-means clustering and back propagation.
You'll get the chance to put your newly acquired skills into practice through the project.
You will learn how to tackle a practical, industry-relevant Data Science problem through focused mentorship sessions, from data processing and model creation to reporting your business outcomes and insights.
The project is the last stage of data science training and will provide you an opportunity to practice it in a practical setting.
Data Scientist | Business Analyst | Data Analyst | Marketing Analyst | Reporting Analyst | SQL Programmer | Research Analyst | Python Developer | Speak to an advisor to determine eligibility.
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Upon successful completion, the college grants the student the AEC Diploma: Business Analyst and Visualization.
Our financial partners offer loans and personalized support to local entrepreneurs and internationally trained professionals.
The Montreal College of Information Technology awards scholarships prospective students to make quality education more accessible.
I am international student from Haiti. I evaluated multiple colleges and choose Montreal College of Management taking into consideration several factors including tuition fee, program content and delivery methodology. Looking back, I feel that I have a made a right choice. The school’s blended training methodology of combining instructor led classroom training with e-learning aids has augmented and fast tracked my learning. I am glad that I have joined Montreal College and I am well and truly on my way to fulfill my career dreams.Sacha Vieux Roy — Former student
For international students, it is highly recommended to register two months before the starting date. Talk to one of our advisors for more details about the registration process.