Data Analytics Course Toronto

ROICIANS

Course Information

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

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 Courses in Toronto

In today’s digital world, data is exceptionally crucial, and being capable of understanding and using large and complex sets of data is a prominent skill. This skill aids industries in coming up with the latest ideas and growth. All around the world, organizations are noticing that using data is important for making smart preferences, and because of this, there is a huge demand for people who are good at analyzing data. Toronto is popular for having a great education and wanting students to do well. The best data analytics courses go beyond the common and take a deep delve into things like looking at numbers, creating pictures from data, guessing what will be happening next, and utilizing computers to know data better.

These courses are a great place for people who want to be in the best data analyst course. They teach a blend of plans and practice, which is necessary. What makes these courses special is that they do not just teach from books they work with businesses too. This means you learn what you really require to learn to solve issues in the real world. The data analyst courses pay attention to new plans and tools in data, which is essential because things are always transforming. This way, when you are done with the data analyst course, you will be ready to use data to aid solve issues in jobs.

Why The Data Analytics Course in Toronto Is Important?

Data analyst courses in Toronto are popular for being of the highest quality and having special advantages. This is because Toronto cares a lot about education and has various types of people, as well as a strong technology industry. Roicians provide really contemporary programs that teach both planning and practical skills. This aids students to do well in the real world. Studying in Toronto has plenty of benefits for enthusiastic students. Toronto has lots of unique cultures, which makes learning more inviting and interesting.

People from other backgrounds work together and share unique ways of thinking. Moreover, Toronto has lots of jobs in this industry and works closely with firms. This means students can get practical experience via jobs or internships, which supports them to learn better and get amazing jobs after they finish their data analyst course in Toronto.

Advantages Of Certified Data Analyst Course in Toronto

Everything has two sides, there are two elements to everything. In the end, it is you in the end who has to determine which side you are most prepared to. In this section, now let us discuss the pros and cons of doing data analyst courses in Toronto. Here are some of the advantages of data analyst course in Toronto:

Solid Networking Opportunities
Top-Notch Education
Higher Course Value
Advanced Course Curriculum
Industry Integration

Remember that while the pros frequently are greater than the cons, it is important to assess your personal conditions before doing Data Analytics Courses in Toronto.

Some More Information About Data Analytics Courses In Toronto

Studying Data Analytics Courses In Toronto is a good opportunity for students who want to work with data to make smart decisions. Popular universities in Toronto provide unique programs for all types of careers. These courses teach students necessary things such as using machines to learn from them, understanding data, and presenting data in helpful ways. These skills are wanted by organizations and groups that are required to understand data for their work. Toronto cares a lot about the latest technology and ideas, so if you take data analyst courses here, you will not only learn a lot but also have lots of opportunities in a growing industry.

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

Working with a Data Server:

• 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

Introduction to 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

Introductions to Statistics and the Analytics Methodology

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

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

Introduction to Python:

• 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

Machine Learning (ML)

• 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

PowerBI

• 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 Courses Toronto

Who is the data analytics course for?

Data analytics courses are for problem-solvers who want to learn how to make better decisions in their work. They are fresher friendly and do not need any coding experience.

What does the data analyst course include?

Data analytics courses teach basic skills and key concepts. They can cover technologies such as JavaScript, Python, Excel, SQL Databases, and Tableau.

What are the benefits of doing a data analytics course in Toronto?

Data analytics can aid businesses make knowledgeable decisions, making better marketing strategies, improving consumer experiences, and smooth operations.

What are the common needs to learn data analytics?

Those people who want to make their career in data analytics must learn different mathematical, Innovative, technical, and interpersonal skills.

Is there any scope for data analyst in Toronto?

Data analysts have opportunities to boost their skills at the best data science and analytics institutions.

What is the motive of doing data analytics?

With a data skill set, you will be capable of analyzing social media engagement trends, customer buying behavior, and demographic information to aid in reaching your sales goals and better connecting with your audience.

What is data analytics in easy words?

Data analytics changes raw data into actionable insights. It covers a range of tools, technologies, and processes used to find trends and solve issues by using data. Data analytics can shape business processes, enhance decision-making, and boost business growth.

What are the key elements of data analytics?

The key elements of data analytics are descriptive, diagnostic, predictive, and prescriptive. However, together these key elements of data analytics can help a company to make data driven decisions.

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