Data Analytics Course in Montreal

ROICIANS

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Course Information

Level Intermediate
Batch Availability Weekdays, Weekend
Mode of Class Classroom, Online, Hybrid
Duration 39 hours

Enquiry Form

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Key Features

Hands-on Learning Program

Get trained from working professional

Get trained as per market Trend

work on live projects

Training on all latest tools and skill

Continuous Interview preparation

Complete job assistance (Canada only)

Mock interview session from working QA professionals

Course Overview

Data Analytics Course in Montreal

The technology-oriented world needs professionals who can effectively run and use data. It is a skill that can be achieved by excellent training with the finest teaching procedure. Getting complete knowledge with the Data Analytics Course in Montreal can mold a professional to utilize the data beneficially and to pressure innovation-driven conclusions in their career. By doing this course, a person encloses their awareness of different elements of data analytics. It incorporates illustrative analytics, diagnostic analytics, predictive analytics, and prescriptive analytics. Moreover, the Data Analytics Course in Montreal embellishes professionals with the required understanding of data visualization, text mining, social media analysis, and many more. 

The well-structured course package detailed the subject of advanced data analytics and provided the aspirant with complete knowledge from the fundamentals of data analytics such as data visualization and data types to Python and Tableau. However, our course program provides all the important knowledge on the subject and encourages individuals to crack their exams on the first attempt. Based on the training format selected, professionals can do the course in online or offline mode.

What Is A Data Analytics Course in Montreal?

The Data Analytics Course in Montreal is provided live online and classroom by Roicians. The sessions will be conducted for days. The course is offered by industrial professionals having extensive knowledge of data analytics. This includes statistical analysis and present engineering which teaches about managing formless and unstable data, model validation, and many more. Moreover, the course includes business analytics with Excel, power pivot, and formula editing. This course is combined with its hands-on session that makes the people to apply their obtained knowledge in their professional life without any exactness. It is authenticated to aid the candidates in extending their respective roles with the wider scope of different data analytics ideas. 

Our Data Analytics Course in Montreal is for applicants interested in discovering many outlooks of data analytics at the dynamic level. Individuals can take this course via different formats. Our course curriculum includes a vast range of topics such as fancy indexing, and tailoring plot legends. This is concise in such a way as to make it logical to any professional. The Data Analytics Course in Montreal has connected to obtaining a broad range of career opportunities, which opens in front of a person after finishing the course. This spans from an analytics and modeling practitioner to a Data Scientist. Roicians maintain a peaceful position in the industry for Data Analytics Course In Montreal.

What Are The Benefits Of Data Analytics Course in Montreal

Here are some of the benefits of data analytics course in Montreal:

  • Higher salary – With this popular course, people get higher salary packages when differentiated from non-certified professionals in the industry.
  • Person accomplishments – Candidates can look for higher career possibilities at an early stage in their lives with the most admired course. 
  • Gain reliability – Getting the course done makes it easier to get the belief and respect of professionals working in the same industry.
  • Meticulous study plan – The course content is recommended as per the exam needs, including the important topics to ace the exam on the first attempt
  • Various job roles – Getting the course done improves the spirit of people to do various job roles in the company.
  • Enlightened skillset – With this course, people get refined skills and techniques needed to play their part in a company.

Why Pursue A Data Analytics Course In Montreal?

Exponential mobile and internet growth has made vast data. So, governments and companies are required to use data to improve resources and solve many human issues. Hence skilled and professional data analysts are in wide demand. So, data analytics courses in Montreal open up wide opportunities for people in this sector. Montreal is one of the biggest cities in Canada. It is famous as the Center for commerce, finance, technology, and culture. Montreal is also famous for its films and television productions. It is a worldwide hub for AI research. This means there is an amazing scope for progress if you are considering your career as a data analyst in Montreal. Data analytics is a growing career in various countries. It provides a great platform. 

The education system here is unique and is worldwide chosen for higher education. Students from all across the world wander here for better career opportunities. Also, economically they are the 2nd biggest Canadian city. Data analysis has the greatest demand in Canada and is also a highly paid-job. They have a huge scope of career opportunities which is not restricted to any specific field, as they are in demand in all kinds of fields. When we speak of high demand, there is also a lack of skilled professional data analysts. Which is why they are paid well or sufficiently even at entry-level jobs. So, if you are a successfully skilled and certified data analyst, you know you already made it to the list. But that is not sufficient, for successful career growth, you must keep learning and raising yourself.

  • Candidate should have Bachelor degree or college diploma in Computer Science/Information
    Technology/Computer Applications/ Computer engineering.
  • One should be good team player.
  • Anyone who wants to start in the IT industry.
  • Anyone who wants to enhance their career as Data Analyst.
  • Data Analysts who want practical implementation and enhance their knowledge on latest tools.
  • Anyone with no or minimal IT Experience.
  • Anyone who wants a stable career in IT industry.
  • If you don’t have IT Experience but want to get into IT.
  • If you Know Data Analytics, but are not getting any interview calls
  • Plenty of job opportunities, as data is increasing day by day, and the demand for Data Analysts is
    also increasing tremendously.
  • If you do not possess any IT experience, you can still easily obtain a Junior Data Analyst position.
  • Salary range is increasing dramatically day by day.
  • There is no ‘dead-end’ job search period for a Data Analyst, as it is always in high demand.
  • Get trained from Working Professionals with years of expertise:  We have Specialist who knows market trend and latest tools and will train you on Live working projects
  • We offer Java training from basics to required level: Keeping in mind that even Non IT individual also join this, we provide training on Java from basic to advance,  so no prior knowledge is required in java
  • We provide daily interview sessions according to current market: We believe training is only beneficial, if you can fetch job. So our specialists prepare students for interviews from day one. We prepare you for all interview Questions that could be asked
  • Evaluation and interview from technical recruiters: We call technical recruiters to evaluate you, these are the people who actually hires in companies. So they Check whether you can pull it up or not.
  • Training on different web based Live applications: We provide practical Training on Live projects, so that you can learn what practical scenarios for Selenium Testing could be. This helps a lot in interviews
  • Training on all latest frameworks and browsers: Selenium is all about creating Frameworks and working on different browsers, so along with Live Projects, student will be creating their own frameworks.

Course Curriculum

• Create a Data Server
• Login to your Data Server
• Create a Data Analytics environment on your Data Server

  • Python3 & Jupyter notebook
  • Bash
  • Install Python libraries relevant to Data Analytics
  • Install csvkit for Bash

• Working with directories
• Using Bash to download a 7-million-row dataset
• Exploring raw data using Bash
• Options in Bash for wordcount
• Piping in Bash
• ‘grep’ in Bash
• Variables in Bash
• Looping in Bash

  • ‘while’ loop in Bash scripts
  • ‘if’ statements

• Regular Expressions in Bash
• Working with ‘dates’ in Bash

 Descriptive Statistics

  • Measures of Central Tendency
  • Measures of Dispersion
  • Measures of Relationship

• Inferential statistics

  • 4 techniques of Population Sampling

• Types of data
• 6 stages of the Analytics Methodology
• Introduction to Databases and SQL

• DDL statements
• DML statements
• Aggregation functions, GROUP BY
• CTE’s
• JOINs
• Single-Line Functions

  • String functions
  • Date and Time functions
  • Numeric functions

• UNIONS
• MINUS
• INTERSECT
• CASE
• COALESCE
• Window functions

• Datatypes in Python
• Loops & conditional statements
• User-defined functions
• Variables
• Built-in functions
• Objects in Python

  • Mutable objects:
    ❖ List
    ❖ Dictionary
    ❖ Numpy arrays
  • Immutable objects:
    ❖ Strings
    ❖ Tuples

• Operations on Numpy arrays
• Using Pandas
• Data Visualization using Python

• Data Cleaning process
• EDA (Exploratory Data Analysis) process
• Exploring Time Series data
• 4 Methods for Time Series forecasting
• Adjustments and Transformations on Time Series data
• Predictive Modelling methods:

  • Overview of common ML algorithms
  • Regression:
    ❖ Intro to Linear Regression
    ❖ Interpreting Regression results
  • Building the best ML model
  • Feature Engineering
  • Dummy variables
  • Classification approach:
    ❖ k-NN algorithm

• Intro to PowerBI

  • Get data spreadsheets
  • Power Query Editor
  • Joining tables
  • DAX
  • Adding new measures
  • Format data
  • Transform data
  • Buttons, Themes,
  • Filters, Slicers, visualizations

• Employee Demographics dashboard
• Survey Data dashboard

Course Schedule

Start Date Weekend/ Weekdays Timing Location Action
19 Jan 2025 Weekends (Saturday + Sunday) 10:00 - 1:00 PM Online Enroll Now

FAQs Related To Data Analytics Course in Montreal

Business intelligence analyst, Data analyst, Data scientist, Data Engineer, Data visualizer, Quantitative analyst, Operations analyst, and Data analytics consultant.

SQL, Python, R, Microsoft Excel, and Power BI are the popular tools used in data analysis in Montreal. 

Data analyst, business intelligence analyst, data scientist, and marketing analyst. 

A bachelor’s degree in a relevant sector such as statistics, computer science, or mathematics is needed to become a data analyst.

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