Data analytics as a career is blooming and thriving. It is considered to continue in high demand, be dynamic, and influence business decisions. Considering the demand for professionals, data analytics courses in Montreal are providing practical training and giving opportunities for various jobs at the corporate level. Corporate companies depend on data-driven insights to make informed decisions that gain a competitive edge. If you want to get into this, must read the full guide.
What is the Future Career Path of Data Analytics Courses?
The demand for a data analyst career is increasing day by day. The students have a long future of steady job growth. It has emerged as a mandatory component of business strategies across sectors.
Does the Data Analytics Course Require Coding?
Yes, coding is required to pursue a data analyst course. However, it needs basic coding and programming skills. Strong coding skills are highly beneficial to getting hired faster with high salaries. It often requires a strong proficiency in one programming language, such as Python, SQL, R, Javascript, Scala, or Tableau.
Coding was introduced through incredible discoveries. Coding helps people instruct computers to perform tasks. The role of data analyst requires extensive knowledge of programming and remarkable coding skills.
Why Do You Want to Learn Data Analytics?
Data analytics helps to make decisions, build strategies that improve the customer experience, and streamline operations. If you learn or do a course in data analytics, you will play a significant role in decision-making in the organization.
Reasons to Take Up Data Analyst Courses
- A person working in Microsoft Corporation earns an average salary of $115,000 per year – Indeed. Courtesy from the Internet.
- McKinsey states that the USA faces a shortage of 165,000 Data Analysts – Mckinsey
- There are 30,000 jobs available for Data Analysts in the United States alone — From LinkedIn.
- Data Analytics leads the world as we are living in a data-driven world.
4 Types of Data of Analyst
- Predictive data analysis
Predictive Analysis is used commonly in Businesses. They are used to identify the trends, correlations, and causes. This can be further categorized as predictive modeling and statistical modeling. It helps to build three core elements to be authorized.
- Identify a problem to solve.
- Define the prediction.
- Explain what can be achieved.
- Prescriptive Analytics
Prescriptive analytics pertains to guided analysis. It guides you towards a specific action to be taken. It effectively integrates descriptive, diagnostic, and predictive analysis to make decisions. Prescriptive Analytics aids in making assessments from the data for decision-making ideas. It is used mainly in product pricing, customer demand, and other external factors.
- Descriptive Analytics
Descriptive Analytics is important for determining the overall performance at a collective level. It is easy to start as data are available to build reports and applications. Firstly, it is significant to build the competencies in descriptive analytics before proceeding to the matured model of data analytics.
Core competencies include
Data modeling fundamentals and the adoption of basic schema practices,
Communicating data with the right visualizations and dashboard design skills.
- Diagnostic analytics
Diagnostic analytics similar to descriptive analytics uses data to answer a question. Instead of concentrating on “What” diagnostic analysis addresses the critical question of “Why”.? Diagnostic analytics happen to be a skipped step within the model. It tends to be accessible and used in a wider range than predictive analytics. It helps to solve the business problems. Diagnostic analytics is a significant step in the maturity model that is unfortunately skipped.
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Data Analyst Job Description
Data analysis is an interpretative field to help businesses in making decisions using complex data. The demand for skilled data analysis has surged across various industries like health care, finance, and information technology.
As a Data Analyst, you should plan decision-making roles, improve efficiency, enhance customer experiences, and manage risks by transcribing complex data.
The success of a Data Analyst depends on technical skills like data cleaning and statistical analysis. Soft skills like critical thinking, communication, and problem-solving skills should also be enhanced.
The surge in data usage has tremendously increased which in turn increased the demand for skilled data analysts in various sectors.
Roles Played by Data Analyst
Data analysis is a thriving career in this technological world. It has amazing career growth. As a data analyst, you can create predictive models like churn likelihood and customer lifetime value. You have to help the team implement these models.
Roles Played by Data Analytics Specialist
As a Data Analytics specialist, you have to maintain the specifications of data engineering and meet the objectives of online data visualization platforms such as Alteryx and Tableau.
Roles Played by Business Analyst
As a Business Analyst, create detailed reports and dashboards of high quality, and give presentations. He should be able to analyze the data, and identify it, then customize it to execute it in skillful way. So it is easy for the team to implement it for a successful business.
Roles Played by Data Scientist
As a Data Scientist, develop models concerning the numerous cost components that power the various margin awareness and initiatives. A data scientist are analytical professionals who extract meaning from data and interpret it to solve complex problems.
His role is to collect and organize the data from various data sources, transform the results into actionable plans, and communicate the results to the organization.
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Significance of Data Analytics:
Reduce the cost of the Method:
It is cost-effective in the longer duration. Financial risk is controlled.
Data Security is ensured.
Data Analytics replaces manual activities by using technology.
Upcoming Future developments
Organizations can analyze future trends and innovations using data analytics.
Create demand, and capture the market business.
Maintain an advantage over competitors and earn huge profits.
Follow up on Product performance
Follow customer’s behavior on products and services
Help to make decisions about product pricing.
Find the target audience.
Reinforce Security
Examine the past security and find out the vulnerabilities.
Prevent future attacks using analytic methods.
Detect abnormal behavioral patterns and strengthen security.
Manage risks
Help organizations prevent or manage risks.
Helps to decide to change the shop location or improve the security.
Improve Decision-making patterns
Prevent financial losses.
Predictive analysis helps to detect the forthcoming actions of customers
Prescriptive analysis detects how to maximize the profit.
Upgrades business performance.
Collect and analyze the data about the distribution channel that helps to detect delays in production, barriers, and future disputes.
Helps in defining the maximum supply for all products of an enterprise.
Recommended Reads:
Top 10 Data Analytics Courses in Montreal
Montreal is a city in the Canadian province of Quebec. It is Canada’s most elegant city. It is famous for the Montreal International Jazz Festival in the world. It is a global hub for information technology.
Rank #1. Data Analytics Courses in Montreal
1. IIM SKILLS
IIM Skills offers the best courses for data analytics. It is the best ed-tech company. Students are trained efficiently with assignments, projects, tasks, and internships. They are provided with lifetime access to LMS ( Learning management systems). The students can update their skills as per the changing trends. Faculty members clear their doubts through WhatsApp groups, and E-mail which makes the students proficient in their areas.
Duration for Data Analytics Courses: 6 months with a 2-month internship.
IIM Skills has a well-trained, experienced faculty. The course curriculum is best designed and updated often.
| Program | Topics covered |
|
● Introduction to data handling
● Data Manipulation using functions ● Data analysis and reporting ● Data visualization in Excel ● Overview of Dashboards.
|
|
● Introduction of VBA
● How VBA works with Excel ● Key components of Programming Language ● Programming Constructs in VBA ● Error Handling ● Controlling Accessibility of the Code ● Communicating with your users.
|
| Module 3 SQL | ● Basic RDBMS Concepts
● Utilizing the Object Explorer ● Data Based Objects ● Creation (DDL Commands) ● Data Manipulation ● Accessing Data from Multiple Tables using Select ● Optimizing your Work
|
| Module 3.1 SQL
Server Reporting Services |
● Basics of SSRS
● Creating Parameters ● Understanding Visualization ● Creating Visualization Using SSRS
|
| Module 3.2 SQL
Server Integration Services |
● Understanding the Basics of SSIS
● Understanding Packages ● Creating Packages to Integrate ● Creating Project Using SSIS |
| Module 4 : Power BI | ● Introduction
● Data Preparation and Modeling ● Data Analysis Expressions (DAX) ● Reports Development ● (Visuals in Power BI) |
| Module 5: Data Analytics Using Python | ● Introduction to Basic Statistics
● Introduction to Mathematical Foundations ● Introduction to Analytics and Data Science ● Python Essentials (Core) ● Operations with NumPy ● (Numerical Python) ● Overview of Pandas ● Cleansing Data with Python ● Data Analysis using Python ● Data Visualization with Python ● Statistical Methods & Hypothesis Testing |
| Module 6: Tableau | ● Getting Started
● Data Handling & Summaries ● Reports Development ● (Visuals in Tableau) |
| Module 7: R for
Data Science
|
● Data Analysis
● Using R with Databases ● Data Visualization with R ● Introduction to Statistics ● Linear Regression Solving ● Regression Problems |
| Module 8: Alteryx | ● Overview of the Alteryx
● Course and Fundamental Concepts ● Using the Select Tool to Rename Fields, Change the Data Type ● Understanding the User Environment and Alteryx Settings ● Filtering Data/Data Processing ● Blending/ joining data from Different Sources ● Data Cleansing ● Impute Values ● Random Sample
|
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Rank #2. Data Analytics Courses in Montreal
2. Excelr
ExcelR is a training and consulting firm with its global headquarters in the United States of America. It has multiple locations to cater to the needs of the students. It offers a data analytics certificate course for a period of 3 to 6 months. Topics covered are the basics of Excel, advanced Excel, Tableau, SQL, basics of R, and Python.
Apart from theory classes, they provide assignments and projects to apply the concepts. Also, they have a Training model, access to E-learning, and post-training support. Trainers at Excelr are well-trained and have hands-on experience.
Contact: enquiry@excelr.com
Mail to: edl@excelr.com
Rank #3. Data Analytics Courses in Montreal
3. Noble Desktop
Noble Desktop helps to upskill or reskill the workforce for students, and working professionals. It offers a leading Data Analytic Certificate course either online or offline. They provide success in student’s career goals. In addition to 156 hours of hands-on training, 1 -on-1 mentoring sessions are available. Their curriculum is time-tested.
The syllabus is as follows:
- Excel for Data Analysis
- Learn fundamental database and statistical functions
- Use Pivot tables and lookup functions
- Create simple macros to speed up workflow.
- Data Analytics Foundations
- Fundamentals of data analytics and statistics
- How to use data for forecasting and decision-making
- How businesses use data analytics in their processes
- Python for Data Science Bootcamp
- Handle different types of data such as integers, floats, and strings.
- Control the flow of programs
- Simplify code with object-oriented programming.
- Analyze tabular data with Numpy and Pandas
- Create graphs and visualizations withMatplotlib
- SQL Bootcamp
- Explore information stored in a database.
- Use SQL queries to retrieve data from a database.
- Combine information from multiple tables with JOIN statements.
- Advanced techniques like subqueries, and String Functions.
- Use views and Functions.
- Python for Automation
- Scrape text and images from websites
- Schedule Python scripts to run automatically
- Automate browser interactions, reporting, and messaging
- Python Machine Learning Bootcamps
- Balance the data using Pandas Library.
- Apply machine learning algorithms such as logistics
- Theoretical concepts
- Evaluate the performance of machine learning models.
- Python Data Visualization & Interactive Dashboards
- Plan and present a data story
- Gather and manipulate data from different sources
- Find data stories through data analysis
- Build a dashboard
- Design to create professional data science solutions
- Live with the project.
- Tableau Bootcamp
- Create and format data visualizations.
- Sort, filter, and structure your data.
- Create interactive Dashboards and dynamic stories.
- Work with data mapping and custom charts.
- Distribute and publish completed visualizations.
Students learn practical skills by working on real projects to strengthen and improve their skills.
Location Live online available
For campus information call (212) 226 -4149
Mail to hello@nobledesktop.com
corporate@nobledesktop.com
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Rank #4. Data Analytics Courses in Montreal
4. NYIM
In this program, Students will learn the key skills required to succeed as a data analyst. The topics covered are Excel, SQL, and Tableau. Topics covered are Creating graphs using Excel, summarizing data with Pivot tables, and analyzing data. In SQL, essentials of relational databases, queries, functions, and more. Tableau to create visualizations to express their data.
Beginners have flexible scheduling options. The course covers hands-on training and manuals.
Available live online.Hours 51. Level: Beginner
Call us: (212) 658 1918
Mail to: nyc@careercentres.com
Rank #5. Data Analytics Courses in Montreal
5. Le Wagon
Le Wagon provides a career in Data Science. Students can acquire advanced data skills, master machine learning & AI, and start their careers as data scientists, Analysts, and Data Managers. Students can learn essential data analysis methods and tools. They can master Machine learning and advanced predictive models. Students can build a solid portfolio and learn to work in a team.
Topics covered in the course curriculum are
Python
SQL
Data Analysis
Decision science
Machine Learning
Deep Learning
Duration 40 Hours
Contact Address: Le Wagon Montreal
5333, avenue Casgrain, Suite102, Montreal Quebec
Rank #6. Data Analytics Courses in Montreal
6. Simplilearn
Simplilearn offers online data analytics courses. Students who were enrolled were trained by expert instructors. They will be trained in critical data analytics and science technologies. The topics covered are programming foundation and data analytics with Python, Tableau Training, Statistics, Power BI, data analytics with R, and SQL. The Curriculum is designed by trained professionals.
Eligibility Criteria:
For admission to the Data Analytics Certification Course candidates should possess a bachelor’s degree with an average of 50% or higher marks.
Prior work experience is not mandatory.
Students can be from programming or non-programming backgrounds.
For more details visit our website: www.simplilearn.com.
Rank #7. Data Analytics Courses in Montreal
7. Concordia Bootcamp
Coccordia bootcamp provide a fulltime and diploma porgrams. The teaching method involves project-based learning, small class sizes 1:6 student-teacher ratio, and collaborative projects. In this program, a student will gain real-world knowledge, experience, and insights through lectures from experienced trainers.
Duration 36 weeks or 14-hour weeks
The participants explore topics like Python, fundamentals of Statistics, Arithmetical analysis, Machine learning, data engineering, and business data science.
For inquiries: 514-848-3600
Mail to cce@concordia.ca
Rank #8. Data Analytics Courses in Montreal
8. Intellipat
A Data Science Course in Montreal, offered in Partnership with IIT Roorkee, will help the students master Python, Tableau, MS Excel, SQL basics and advanced, Statistics, Power BI, Machine learning with cloud, and Linux. The key highlights of this course are 50 Live sessions across 7 months. 200 Hrs of Projects and exercises with 24/7 support.
For more details visit our webpage: https://intellipaat.com
Rank #9. Data Analytics Courses in Montreal
9. ACTE
ACTE offers A Big Data Analytics Course in Montreal. The course is structured course which trains the students on various stages of data analytics. The live projects will help to solve problems with creativity. Students receive expert tips on interview preparation, and career guidelines to grab lucrative jobs. The data analytics course will give students the required skills to work on different analytical tools and techniques.
Duration: 40 hours and job-oriented training.
For details mail to support@acte.in
Rank #10. Data Analytics Courses in Montreal
10. McGill University
McGill provides a professional development certificate in Data analytics. The program is available in person and also online. Data analysts are required in a wide range in today’s business world. Developing skills in the areas of data science or data analytics enables the students to leverage their strength in quantitative analysis to meaningful insights.
For more details call 514-398-6200
Contact mail id: info.conted@mcgill.ca
Frequently Asked Questions
1. What are the prerequisites for a Data Analytics course?
Ans: If you possess the skillsets like
- Analytical expertise
- Problem-solving skills
- Critical thinking
- Good communication skills
2. What are the career opportunities for the Data Analyst profession?
Ans: Companies and Multi-National companies prefer to recruit data analyst professionals because they can make main decisions. The demand is growing day by day.
3. Who is eligible for data analytics courses in Montreal?
Ans: Anyone who wishes to continue a lucrative career as a Data Analyst or Business analyst. Students who know about data visualization, Python, Statistics, and database management.
4. Is the technical background necessary to join data analytics courses in Montreal?
Ans: You do not need any technical background to join this course but be motivated, curious, and social.
5. How much programming do I need to know?
Ans.: You must be strong in basic coding, data types, variables, conditions, loops, functions, and data structures. like arrays.
6. Why become a data analyst?
Ans: Data analysis is a booming career in today’s technologically advanced world. There are numerous career opportunities available in this domain.
7. What will I do after the Completion of the data analytics courses in Montreal?
Ans: After completion of the program or course, you will be able to work on solving complex business problems by using machine learning algorithms and creating value out of raw data.
8. How do data analysts and Business analysts differ from Data Scientists?
Ans: Data analysts perform the complete life-cycle of Data Analysis, whereas business analysts implement, build, analyze, and report the capabilities of the business. Data Scientists on the other hand perform statistical analysis to build machine learning systems.
Conclusions
The demand for skilled data analysts in Montreal is increasing day by day. Canada is an advanced technological country, and the training for data analysts in Montreal for students provides advanced career growth and lucrative job opportunities. Individuals, Students, and Non-IT professionals can enhance their skills in Data Analytics by undergoing the training offered by the institutions, online and offline classes in Montreal. As the proverb says” Make hay while the sun shines”, Similarly, all students should avail the best opportunity when available and prosper in their lives.
