Montreal College of Information Technology
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Data Science Bootcamp

Data Science Bootcamp
This intensive Bootcamp is only available for local professionals seeking to advance in specific career roles.

DATA SCIENCE BOOTCAMP OVERVIEW

Data scientists collaborate closely with business stakeholders to identify data-related strategies to achieve their goals. They construct algorithms and prediction models to extract the data the organization requires.

Furthermore, data scientists design data modelling processes, assist in data analysis, and collaborate with others to share insights.

The data scientist 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.

KEY FEATURES

  • Data Science Bootcamp

    Get trained by industry Experts

    Our curriculum is kept up to date with the latest industry trends ensuring all our graduates are prepared for the job market.
  • Data Science Bootcamp

    Project Based Learning

    Our courses are delivered by professionals with years of experience having learned first-hand the best, in-demand techniques, concepts, and latest Business Analyst tools.
  • Data Science Bootcamp

    Learn while you Work

    Our students have access to their labs and course materials at any hour of the day to maximize their learning potential and guarantee success.
  • Data Science Bootcamp

    State of the Art Infrastructure

    Graduates from MCIT have access to a complete work-oriented program that gives them access to CV/resume preparation, the latest job opportunities within their desired fields, provided continuously via
  • Data Science Bootcamp

    24/7 Lab access

    Working 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.
*Industry focus *Job market matched programs *Get trained by industry experts *Learn while you work *Latest tools and frameworks

SKILLS ACQUIRED

WHO SHOULD APPLY?

Meant for professionals & executives seeking to get a solid grasp in specific aspects of Data Science, technologies and Data handling techniques. Getting a firm handle on a wide variety of languages and applications does pose a daunting learning curve.
Developers who wish to enter the Big Data elite segment or are interested in making a shift in their current job status. MCIT’s data Science Bootcamp can help you transform into, or start a new career as a exceptionally skilled Big Data professional.
You want to expand your skillset and augment your already well-established career and expand into Data Science challenges.
Wish to familiarize Data fusion, Data integration, Apache , Hadoop, Scala and terminologies used by Big Data professionals daily. Master everything from the ground up, making you an expert Big Data professional.
Data Science Bootcamp
David Parr

Developer, Morgan Stanley

Data Science Bootcamp
Rosana Neishabouri

Data Analyst, Lamour

Data Science Bootcamp
Anurag Nandigama

Data Engineer, Next Pathway Inc.

Data Science Bootcamp
Dwany H

Big Data Developer

Upon successful completion of the program, students will receive a MCIT Bootcamp certificate in

Data Science

COURSE OUTLINE

Data Science Bootcamp

Learn the definition, process, and possible applications of Data Science.

Introduction to the concepts of programming and algorithms. Students will learn the Scala programming language, object-oriented languages such as Java and Linux Shell, as well as scripting fundamentals

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.

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 the last stage of your data science training, the newly acquired skills will be put into practice through a real-world project.

The student will learn how to tackle a practical, industry-relevant problem by focusing on mentorship sessions for data processing and model creation. The project will provide you an opportunity to practice it in a practical setting.

INSTRUCTOR SPOTLIGHT

LOANS & BURSARIES

Our financial partners offer loans and personalized support to local entrepreneurs and internationally trained professionals.

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MCIT SCHOLARSHIPS

The Montreal College of Information Technology awards scholarships prospective students to make quality education more accessible. 

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COMMUNITY TESTIMONIAL

I am an engineering graduate from Morocco who came to Canada in order to help expand my career. I came upon MCIT as the best choice for intensive and practical courses, which opened up my career to far more opportunities than I thought were possible.

Sihame Benhlima — BI Student

    CALENDAR

    Registration deadline:
    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.

    — F.A.Q —

    Instructors are chosen based on their academic credentials, relevant industry experience, and teaching ability. MCIT collects weekly feedback from students and staff on program curriculum, projects, and overall student experience in order to evaluate the quality of each program. In addition to the student experience, MCIT also considers industry demand for particular skill sets and success rates with each program in order to look for areas of improvement, ensuring that each program has successfully matches their outcomes.The minimum requirements to serve as a mentor, technical expert, or faculty for all MCIT programs include:- 3+ years of relevant industry experience - Demonstration of genuine student advocacy and empathy for beginners - Exceptional written and verbal communication skills
    MCIT is registered as a private college under the Quebec Ministry of Education with the operating name of “Montreal College of Information Technology”. As a Quebec-registered private career college, you can apply for a student line of credit from Aide financière aux études (AFE) with a lower interest rate. Depending on the situation we also offer payment options through installments. Please, consult your advisor for more information.
    Our programs cover the most up-to-date skills that are required by employers across Canada. In addition to that, we offer on-demand certificates in a wide range of well-known technologies to help you up-skill yourself. That being said, we know what qualifications employers are looking for in future candidates.
    Yes, the nature of our training is hands-on. Students work on end-to-end projects and business use cases to build their portfolios and become Job Ready.
    The course is completely in-person, but during the COVID-19 pandemic and following the Government regulation the classes are being conducted online. For more information, please contact your advisor.
    This is a beginner-friendly program with no coding prerequisites, although many students have engaged in self-learning previously or have worked in adjacent roles. Whether you’re new to the field or you’re looking to formalize your practice, our curriculum helps you gain fluency in the programming languages, frameworks, and libraries that modern employers demand and put them to work on the path to a new career in the field. If you are still curious, our advisors can discuss your background and learning goals to advise if this coding Bootcamp is a good fit for you.
    Our campus is currently closed due to COVID-19. Please, contact an advisor for more information or to get a sense of the online classroom experience, we recommend attending one of our info sessions.

    Montreal College of Information Technology

    Collège des TI de Montréal   

    110-1255 Robert-Bourassa Blvd.
    Montreal, Quebec H3B 3A9

    +1 514-312-2383
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