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Data Visualization and Reporting Tool (Power BI)

Learn how to master industry-standard programming languages such as HTML, CSS along with JavaScript (ReactJS). You would also become proficient in object-oriented programming concepts & design patterns using C# and building RESTful Web Services. 

Skills gained : Modular thinking, Programming basics,
Algorithimic thinking, Problem solving, Debugging

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Programmer Analyst LEA.CK Profile: Web App Development

Duration
36 hours
Schedule : Mon - Wed - Thu
6 PM - 9 PM

Skills gained
Modular thinking,
Programming basics, Algorithimic thinking,
Problem solving
Debugging

Tools
Java, ASP,
Microsoft .Net, SQL server
Object Oriented
Programming, ORM,


Pricing
Course Fee ; 2500
Bundle price available
Request Corporate
vouchers

Aperçu du programme

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.

Enroll

Start Date

Duration

Tuition Fee

36 hrs

CAD 2500

14 June 2025

Key Benefits

Official Accredited
Curicullum
Our curriculum is kept up to date with the latest official Certification syllabus and making you getting ready to take the exam.

Get trained by
Industry experts

Our courses are delivered by professionals with years of experience
in the industry.

24/7
Labs
Our students have access to their labs and course materials at any hour of the day to maximize their learning potential and guarantee success.

Certification
Vouchers
Upto 50 percent discount voucher will be provided.

Tax
Credits
Claim up to 25% of tuition fees and education tax credit from your taxes.

Course Outline

Probability & Distributions

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.

SKILLS GAINED

…………………………………………………………………………………………………………………………………………………………

Statistics - Descriptive Statistics

Statistics – Inferential Statistics

Statistics – Hypothesis Testing

Introduction to Self-Service BI Solutions

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.

SKILLS GAINED

…………………………………………………………………………………………………………………………………………………………

Self-Service BI

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

SKILLS GAINED

…………………………………………………………………………………………………………………………………………………………

Introducing Power BI

The module introduces Power BI, spanning PowerBI.com, 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.

SKILLS GAINED

…………………………………………………………………………………………………………………………………………………………

Power BI Data

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.

SKILLS GAINED

…………………………………………………………………………………………………………………………………………………………

Power BI Service

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.

SKILLS GAINED

…………………………………………………………………………………………………………………………………………………………

Shaping and Combining Data

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.

SKILLS GAINED

…………………………………………………………………………………………………………………………………………………………

Modeling Data

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.

SKILLS GAINED

…………………………………………………………………………………………………………………………………………………………

Interactive Data Visualizations

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.

SKILLS GAINED

…………………………………………………………………………………………………………………………………………………………

Skills gained

Algorithimic
Thinking

Programming
basics

Modular
Thinking

Problem
Solving

Debugging

Qui peut postuler

L'éducation pratique en TI est le pont entre votre diplôme et votre carrière.

Eligibility Criteria

Learners need to possess an undergraduate degree or a high school diploma. No need of any professional experience is required as this is the fundamental course.

Prerequisites

Knowledge on Front End Technologies, SQL Programming is required to enroll in this course.

Upcoming sessions & Schedule

Enroll

Summer Session

17 June 2025

Register before

30th May 2025

Enroll

Fall Session

17 October 2025

Register before

30th May 2025

Enroll

Winter Session

12 February 2026

Register before

30th May 2025

Contactez-nous

Enroll for this
Certification

20th June
Start Date


CAD 2500/-
Stand alone Certification

Enroll

Get Bundle
pricing

Get Bundle

SQL + BI + Python Programming




6000 CAD
Bundle price for three

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About the Instructor?

Is there any Voucher to take the Official certification?

When do I get the MCIT Certificate?

Upon completion of the certification course classes you will be provided with an MCIT certificate.

Collège de technologie de l'information de Montréal

Collège des technologies de l’information de Montréal

200-1255 Robert-Bourassa Blvd.

Montreal, Quebec H3B 3B2

+1 514 405 6874

info@montrealcollege.ca