Montreal College of Information Technology
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Data Visualization and Reporting Tool (Power BI)

The Data Visualization and Reporting Tool course is designed to equip participants with the essential skills and knowledge needed to effectively utilize Microsoft Power BI for data analysis and visualization, combined with a strong foundation in statistical concepts and techniques. This course provides a comprehensive understanding of both statistical methodologies and the practical application of Power BI for making data-driven decisions. After completing this course, students will be able to create reports, KPIs and dashboards using Power BI, the latest reporting technologies, and methods.

  • 16 August 2024
  • 45 Hours
  • Contact the Advisor
  • Talk to an Advisor

Schedule: Monday, Wednesday, Friday - 18h00 to 21h00


  • Data Visualization and Reporting Tool (Power BI)

    Get trained by industry Experts

    Our courses are delivered by professionals with years of experience having learned first-hand the best, in-demand techniques, concepts, and latest tools.
  • Data Visualization and Reporting Tool (Power BI)

    Official Certification curriculum

    Our curriculum is kept up to date with the latest official Certification syllabus and making you getting ready to take the exam.
  • Data Visualization and Reporting Tool (Power BI)

    Tax Credit

    Claim up to 25% of tuition fees and education tax credit.
  • Data Visualization and Reporting Tool (Power BI)

    Discount on Certification Voucher

    Upto 50 percent discount voucher will be provided.
  • Data Visualization and Reporting Tool (Power BI)

    24/7 Lab access

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


Analyzing Data with Power BI

This module introduces the basic probability formula and expected values, covers frequency and events with their complements, and explores fundamental concepts of probability distributions, including types, characteristics of discrete (like Bernoulli, Binomial, Poisson) and continuous distributions.

This module covers the diverse types of data and levels of measurement, exploring visualization techniques for categorical variables and frequency distribution tables for numerical ones. It delves into histograms, cross tables, scatter plots, and statistical measures like mean, median, mode, skewness, variance, standard deviation, coefficient of variation, covariance, and correlation coefficient, providing a comprehensive understanding of data analysis and visualization techniques.

In this module, students explore distributions' nature, including normal and standard normal distributions, emphasizing their shapes and characteristics. The module covers the Central Limit Theorem's concept, highlighting how sample means tend toward normality in larger samples. Additionally, it focuses on standard error's role in gauging sample statistic variability and introduces estimators for deriving population parameters and obtaining estimates.

In this module, students explore the concepts of rejection regions and significance levels in hypothesis testing. They delve into tests for the mean with known and unknown population variances, considering both independent and dependent samples. The module covers diverse scenarios, providing tools for hypothesis testing concerning means in various population settings.

In this module, students explore Business Intelligence's fundamentals, scenarios, and evolving trends, delving into diverse project roles and enterprise data models. The curriculum covers data analysis essentials, encompassing sources, queries, transformations, and visualization techniques, including demonstrations on importing data using Power BI Desktop. Additionally, it introduces data visualization concepts, focusing on charts, cards, maps, tables, tree maps, and formatting for effective data representation.

This module provides an insight into Self-Service BI, covering its trends and considerations amidst the data explosion. It outlines the limitations of Managed Enterprise BI while emphasizing factors like data access, reliability, user expertise, and the role of data stewards in Self-Service BI. Additionally, it explores Microsoft's tools—SQL Server Reporting Services, Excel, SharePoint Server, and Power BI Desktop—culminating in a demonstration on publishing a report using the Power BI Service

The module introduces Power BI, spanning, Power BI Report Server, and Power BI Desktop for report and dashboard creation. Students delve into designing reports and dashboards, showcased through a demonstration using Power BI Desktop. It covers the Power BI Service, focusing on licensing, tenant management, datasets, row-level security, content packs, and natural language queries. The module culminates with a demonstration on creating a content pack, offering a comprehensive understanding of Power BI functionalities and deployment.

This module begins by showcasing Excel's utilization as a data source for Power BI, covering file connections, importing, and publishing data to Power BI. It elaborates on updating files, data refresh, and demonstrates importing files from a local folder. The curriculum extends to the Power BI Data Model, emphasizing its structure, data relationships, and optimization for reporting. It explores hierarchical structures, how to create them, and includes a demonstration illustrating the creation of a hierarchy within the data model. Overall, it provides a comprehensive understanding of leveraging Excel and constructing efficient data models in Power BI.

In this module, the focus lies on utilizing databases as data sources for Power BI, including SQL Server and other available data sources, incorporating the R Script Data Connector. A demonstration showcases the process of importing data from SQL Server. The curriculum also delves into the Power BI Service, highlighting data configuration for Q&A, content pack creation, and group establishment. It culminates with a demonstration illustrating data querying through Q&A, providing comprehensive insights into leveraging diverse data sources and functionalities within Power BI.

In this module, the focus is on Power BI Desktop queries, emphasizing the Query Editor's functionalities, applied steps, and the Advanced Editor for data shaping. It covers the nuances of shaping and formatting data, along with transforming data using the Query Editor, exemplified through a demonstration. The curriculum extends to combining and merging data, showcasing the addition and shaping of data from the internet. Overall, the module provides comprehensive insights into utilizing the Query Editor and shaping data effectively within Power BI Desktop.

This module introduces relationships in Power BI, covering their definition, creation, and understanding cardinality and cross-filter direction. A demonstration showcases how to view relationships within Power BI. The curriculum extends to DAX queries, explaining DAX's nature, syntax, functions, and context, illustrated through a demonstration highlighting row and filter contexts in DAX formulas. Furthermore, it covers calculations and measures, including calculated columns, tables, and measures, exemplified by creating them using DAX in a demonstration. Overall, the module offers comprehensive insights into establishing relationships and utilizing DAX for powerful calculations in Power BI.

In this module, the focus is on creating Power BI reports, covering page layout, formatting, and incorporating multiple visualizations, including charts, geographic data, and histograms. A demonstration showcases the addition of visualizations to a report. The curriculum extends to managing a Power BI solution, encompassing the Power BI Admin Portal, Service, and Desktop settings, along with dashboard and report settings. It culminates in a demonstration illustrating the creation of featured questions, providing comprehensive insights into report creation and Power BI solution management.



Career starters : For those people who are either entering the job market or are interested in making a shift in their current job status. The Power BI certification program can help you transition into, or give you an understanding to be a fully equipped BI Analyst.
Professionals aiming to undertake exams in Business Intelligence Expert certification or demonstrate their skills in Data manipulation in a professional sphere.
Those seeking to validate a professional ability to work with Data manipulation frameworks and techniques. Familiarize with spreadsheet application distributed by cleaning , transforming, loading and data shaping tools.
Management professionals, Project managers seeking to generate reports & dashboards using Power BIs capacity to understand and tackle many of the common data modeling issues, including relationships, security, and performance.

Eligibility and Requirements

Learners need to possess an undergraduate degree or a high school diploma. 



Knowledge of SQL and programming language is required to learn this course.

Data Visualization and Reporting Tool (Power BI) certification.


Upon completing this cerification course you will:

  • Receive an industry-recognized certificate from MCIT.
  • Be prepared for the official Microsoft Power BI - Data Analyst (PL-300) certification.



16 August 2024

Register before 15 August 2024

02 December 2024

Register before 01 December 2024

04 April 2025

Register before 03 April 2025

— F.A.Q —

Definitely. Please feel free to contact our office, we will be more than happy to work with you to meet your training needs.
All of our exceptionally skilled instructors have a decent experience of training and industry experience and are AW certified in the respective field. Each of them through a rigorous selection procedure that included profile screening, technical examination, and a training demo. 
Yes, there are vouchers to take the official exam.
Upon completion of the certification course classes you will be provided with an MCIT certificate.