A data analyst is a person who uses huge amounts of data to analyze, present, and forecast future events in order to aid in the making of data-driven decisions. They get the raw data and present it in a meaningful way that would both make the information clear and be more useful for making decisions.
The MCIT Data Analyst program assists you in developing strong database foundations, learning SQL programming, R, and Python, creating data visualizations and reporting using programs like Power BI and Tableau, and applying statistics and predictive analytics in a business context.
For Data analysts, over the period 2019-2028, new job openings (arising from expansion demand and replacement demand) are expected to total 18,000, while 16,700 new jobseekers (arising from school-leavers, immigration and mobility) are expected to be available to fill them. The labour shortage conditions seen in recent years are expected to continue over the projection period.
Former par des experts de l’industrieNos cours sont dispensés par des professionnels ayant des années d’expérience ayant appris de première main les meilleures techniques, concepts et outils les plus demandés.
Apprentissage par projetNotre programme est tenu à jour avec les dernières tendances de l’industrie , garantissant que tous nos diplômés sont préparés pour le marché du travail.
Apprendre en travaillantTravaillant en étroite collaboration avec nos instructeurs experts de l’industrie, ils peuvent fournir des conseils et vous aider à réseauter dans le domaine, vous offrant ainsi un avantage unique.
Infrastructure de pointeInstallation de pointe avec plus de 20 laboratoires, centres de données et configurations de serveurs au cœur du centre-ville, donnant accès aux quartiers de transport en commun, d’affaires.
Accès au laboratoire 24h/7jNos étudiants ont accès à leurs laboratoires et à leurs supports de cours à toute heure de la journée pour maximiser leur potentiel d'apprentissage et garantir leur réussite.
Data Analyst | Business Analyst | Marketing Analyst | Reporting Analyst | SQL Programmer | Research Analyst | Python Developer | SQL Programmer | Speak to an advisor to determine eligibility.
Après la réussite du programme, le collège accorde à l’étudiant un certificat d’AEC (Attestation d’études collégiales)
Data Analytics Profile: Data Analyst
Data Analytics Profile: Data AnalystTélécharger le plan
Here, you will learn how to use data and analytics principles in your business. It will provide you the insight that you need to have as a Data Analyst.
Furthermore, you will learn about the world of data analytics, as well as approaches to analytics, data visualisation and data science that will enable you to improve business decisions and ROI.
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.
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.
You will learn about statistics—a fundamental component of data science—and keywords associated with it through this course.
You will understand skewness, correlation, regression, and distribution, as well as measures of central tendency and dispersion. Through statistical inference, you will be able to develop predictions that are based on evidence.
This course aids in your mastery of Tableau Desktop, a widely used corporate intelligence, reporting, and data visualisation tool. For data-related positions, Tableau certification is highly respected by employers.
Our online Tableau course teaches you how to use the program efficiently for data preparation, interactive dashboard creation, the addition of new dimensions, and in-depth analysis of outliers.
You'll get the chance to put your newly acquired skills into practise 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 analytics training and will provide you an opportunity to practise it in a practical setting.
Si vous avez besoin de conseils pour l’aide financière et nos diverses subventions gouvernementales, veuillez consulter ce qui suit et parler à un conseiller pour plus de détails. Chaque cas d’étudiant est unique, mais nous offrons une variété de méthodes pour aider nos étudiants à obtenir l’éducation dont ils ont besoin pour réussir.Apply for a Scholarship
As all our diploma programs are officially recognized and approved by the Ministry of Education of Quebec, if financial aid for students is required, you can apply with the government of Quebec to get the assistance through the AFE loans. Scholarships – MCIT also offers scholarships for a select few students in the form of reduced payments offered through through our financial program.
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. Most importantly, the school has also delivered on its commitment to provide an industry internship program. 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
Les étudiants internationaux doivent postuler deux mois avant la date de début.