Data science course in Canada

Get Your Dream Job With Our Data science course in Canada

Data Science Course Canada - Course Overview

Data Science is a collection of statistical, data analysis, and machine learning approaches for extracting and analyzing large amo.....unts of structured and unstructured data. A Data Scientist is a researcher tasked with preparing large volumes of big data for analysis, using complex quantitative algorithms to organize and synthesize the data, and presenting the findings to senior management through engaging visualizations. A Data Scientist improves business decision-making by speeding up the process and giving it more direction. In today's data-driven world, a data science course in Canada can help you prepare for the growing demand for Data Science skills and technologies across all industries. In the subject of data science, there are numerous job opportunities, and this curriculum is one of the most comprehensive in the business today. This training in Canada is tailored to both data experts and beginners interested in pursuing a career in this fast-growing field. This course will provide students with the necessary logical and applicable programming skills to create database models. They will be able to solve issues and effectively convey solutions using elementary machine learning methods such as K-Means Clustering, Decision Trees, and Random Forest.. Enroll now to get the most out of your Data Science certification course in Canada Read more

Who Should Attend

AI & ML aspirants
Software developers
Data scientists
Data analysts
IT Professionals
Software engineers

Prerequisites

To apply for the Data science course in Canada, you need to either:

You need to have a good foundation in mathematical concepts like linear algebra, calculus, probability and statistics
You need to know at least one programming language like Python or R. You need to have a good understanding of OOPs concepts, algorithms, and data structures.
You need to have some basic data analysis and data visualisation skills.

Data science course in Canada Objectives

The following list of things can be learned or explored during the data science course in Canada. They are:

Collaborate with a variety of data production sources.
Create a Customer Sentiment Analysis using Text Mining.
Use various tools and strategies to analyze organized and unstructured data.
Learn the difference between descriptive and predictive analytics.
For business decisions, use data-driven, machine learning methodologies.
Create models that can be used on a daily basis.
To make proactive business decisions, use forecasting.
To make data easier to grasp, use Data Concepts.

The Data Science training Certification offered in Canada was designed for professionals with and without work experience in any of the profiles below:

IT Professionals
Analytics Managers
Business Analysts
Banking and Finance Professionals
Marketing Managers
Supply Chain Network Managers
Beginners or Recent Graduates in Bachelors or Master’s Degree

Any learner who wants to get the most out of HKR trainings Data Scientist Course in Canada should have the following skills:

A fundamental understanding of statistics and related principles is required.
At least one of the top/relevant programming languages is required.

Data Science Course Canada - Course Content

We at HKR trainings provides an optimized Data Science course structure that helps the individual to gain the concepts easily. Now let's explore each module one after the other.

In this module, you are going to learn about the various Data Science concepts, as follows:

Introduction to Data Science, Importance of data science, applications, lifecycle, and components.
Big data Hadoop, machine learning and deep learning
Introduction to R programming and R studio.

Introduction to data exploration
Importing and exporting data to and from external sources
Data exploratory analysis
Data Frames, factors, loops, operators, conditional and looping statements, user-defined functions and data types, etc.

Introduction to data manipulation
Introduction to dplyr package
Briefing about functions and combining different features with the pipe operator
Implementing SQL operations with sqldf.

Introduction to data visualization
Explaining different graphs functions and it's implementations
Multivariate analysis with geom_boxplot
Univariate analysis with a barplot
Creation of barplots
Visualization with Plotly
Working with themes and coordinates to present graphs more visually and clearly.
Geographic visualization with ggmap() and building applications with shinyR.

Need for statistics
Categories of statistics
Correlation and covariance, standardization, normalization, normal distribution, chi-square testing, ANOVA, and binary distribution.

Introduction to machine learning, linear regression, predictive modeling, formulas, assumptions, and building a simple linear model
Introduction to logistic regression
Comparison of different types of regressions.
Confusion matrix the accuracy of a model, threshold evaluation with ROCR, and understanding qqnorm() and qqline()
Building linear models with multiple independent variables.

Introduction to logistic regression
Concepts of logistic regression
Building a simple binomial model
Finding out the right threshold using the ROC plot
Real-time applications of logistic regression.

Classification and it's techniques
Introduction to decision trees, algorithm and building a decision tree in R
Confusion matrix, regression trees vs. classification
trees Introduction to bagging
Random Forest and its implementation in R
Naive Bayes and it's computing possibilities
Concepts of Impurity function, Entropy, Gini index, and Information gain for the right split of node
Overfitting, pruning basics, finding out the correct number of trees, and evaluating performance metrics.

Clustering, types and use cases
Introduction to unsupervised learning
Feature extraction, clustering algorithm, and k-means clustering algorithm
Briefing about k-means and its implementation
Explaining the Principal Component Analysis (PCA) in detail and implementing PCA in R

Introduction to association rule mining, advantages, types, measuring the association
rule mining and implementation.
Introduction to recommendation engines
How are recommendation engines implemented in R?
Recommendation engines use cases. Summary

AI and deep learning
Fundamental of Artificial Neural Networks
Tensor Flow
Computational frameworks for building AI models
Fundamental of tensorflow and working it with R

What is a time series?
Techniques, applications, and components of the time series
ARIMA model
Time series in R, sentiment analysis in R (Twitter sentiment analysis), and text analysis

What is the Bayes theorem?, Naïve Bayes Classifier?
How Naive Bayes classifier works and classifier building in Scikit-Learn.
classification model using Naïve Bayes and the zero probability problem

Introduction to text mining, use cases, and understanding and manipulating the text with 'tm' and 'stringR'.
Text mining algorithms and the quantification of the text
TF-IDF and after TF-IDF

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Vikram Prathap

Digital Marketing

Vikram Pratap is a Digital Marketing trainer at HKR Trainings. He is a passionate digital marketing professional interested in helping digital marketing aspirants in becoming digital marketing professionals. Specializing in Digital marketing, Vikram Prathap is an expert in SEO, SMM, Content marketing, Data analysis, PPC, Facebook marketing, Adwords, etc.

Hrushikesh

Cybersecurity

Meet our Cyber security trainer Hrushikesh. He has trained 100+ learners in Cybersecurity and guided them in seizing better opportunities in the field of Cybersecurity. Besides being a trainer at HKR Trainings, Hrushikesh is an ethical hacker, Certified Security Analyst, Certified Ethical Hacker, and Internet Investigation Specialist.

Saaz Rai

CISSP, CCSP, CISM, CISA, CGEIT, CRISC, CASP, PMP

Saaz Rai is an Experienced trainer at HKR Trainings. He specializes in training the aspirants of CISSP, CCSP, CISM, CISA, CGEIT, CRISC, CASP, and PMP. He follows a unique style of delivering the concepts in his lectures and guided various learners at HKR Trainings to shine in their careers as certified professionals.

Deeksha

Data Engineer & DevOps Engineer

Deeksha is a proficient trainer at HKR Trainings with a unique blend of technical skills like the Google Cloud Platform, Microsoft Azure, confluence, DevOps, Azure DevOps, databases, data warehousing, etc. She assisted several learners at HKR Trainings in becoming data engineers and DevOps engineers.

Samreen sultana

Data science

Samreen Sultana is our Data Science Trainer at HKR Trainings. She is a motivated professional with a unique approach to delivering the concepts to the learners. She has 6+ years of experience in AI and Machine Learning. Besides these skills, Samreen has a good command of Python and R Programming.

Corporate Training

Training for Employees

HKR will help you learn anytime, anywhere with easily accessible online training. Experience immersive learning and equip your teams with the skills of tomorrow.

We deliver the right skills to the aspirant from day one that meets today's business requirements. It also helps to increase the productivity of the employee. So, joining HKR Trainings means becoming extremely productive to achieve goals in real-time.

Go to Corporate Training

Hire Train Deploy

We at HKR Trainings provide the best IT Training skills on different technologies to the aspirants that meet the existing industry standards. Our training courses are up to date and make the aspirants job-ready with real-time working knowledge.

Go to Hire Train Deploy

Frequently Asked Questions

Corporate training is a way of upskilling the employees with new technologies and skills that helps the employees to perform well on the job and improve the project's productivity through which the organization can benefit.

Corporate training can help the employees to be updated with the new technologies. Attending Corporate training will also help the employees to learn new skills that make them work effectively. It also increases team functionality, improves employee engagement and productivity in the project, etc.

We provide corporate training on all the courses. We even provide customized curriculum for corporate training as per the organization's requirements.

Following are some of the benefits of Corporate training:

It improves the skills of the employees
It helps the employees to work effectively and grow within the organization
It also increases the organization's brand
It also offers direct & indirect financial benefits through tax savings, etc

Our Corporate trainers possess good research, adaptive, and communication skills. They also have a passion for continuous learning. So they can offer you the best Corporate training.

In its Corporate training, HKR Trainings offers the flexibility to customize the curriculum for the Corporate training as per your organizational needs, ensuring that the training is interactive and engaging. Moreover we are ready to provide Live online or in-person training at your organization that can help the employee to work effectively and efficiently.

Data science project

Project 1

Color Detection

In this project we will create an application that will detect the selected color from an image. For developing this application w.....e need to label data of the familiar colors to us and the find out which color has the similarity to the color value in the selected image. Read more

Project 2

Detection Of Brain Tumor

In this project we will be creating an application that will detect the brain tumor with the help of the datasets gathered from th.....e MRI Scan. In this way convolution neural networks can be trained from the scratch for detecting brain tumors. Read more

Project 3

Recognition Of Speech Emotion

In this project we will be creating an application for speech emotion recognition with the help of a number of libraries Librosa, .....SER, etc. Although it is a tough project, we will be creating an MLPClassifier for this model. Read more

Project 4

Fake News Detection App

In this project, you will create an application that will determine the legitimacy of the information. Fake news spreads very quic.....kly by some unauthorised person creating issues for others, which can sometimes lead to violence. Using the Data Science concepts you have learnt in the Data Science training, you can create a fake news detection application to identify the fake news. Read more

HKR Website Reviews

Mounika Reddy

Technology Analyst

I wanted to upskill myself and enrolled at HKR Trainings for Snowflake training. The trainer kumar for the Snowflake course was very friendly and delivered the sessions in an interesting and innovative approach. Moreover the course was up to date with the current market needs. I felt this course was very helpful for moving ahead in my career.

Nagarani

PA at Cognizant

I took Mulesoft Training from HKR Trainings where I learned the concepts practically. The trainer was highly qualified, had good teaching experience, and explained each concept with real-time examples. Also, the project work helped me get hands-on experience with the Mule concepts.

Srijan

Presales Consultant - Cyber Security @ Tech First Gulf

It was a great learning experience with HKR Trainings, getting an online OKTA Course. The way of teaching was very professional, and the trainer clearly explained everything without lagging. He resolved all the queries in real time and helped with hands-on practicals. I wish the team HKR and the trainer the best in all their future endeavours.

Mounika Reddy

Technology Analyst

Nagarani

PA at Cognizant

Srijan

Presales Consultant - Cyber Security @ Tech First Gulf

View All Reviews

Data science course in Canada FAQ's

Yes, You need to have some coding skills. However you don't need to be perfect or an expert in coding to learn Data Science.

Any individual from Science, Engineering, technology or mathematics background is eligible for taking up this data Science Course.

If you are an individual having knowledge on core elements of data science like computer science, mathematics and statistics, you don’t feel any difficulty in learning Data Science.

Data Scientists need a programming language to interact with the computer. There are a number of programming languages that are used by data scientists for various purposes. They are Python, SQL, R, Java, JavaScript, C/C++, Scala, etc.

Data related job roles like data scientists, data analytics, data managers, big data engineers and managers have a huge scope in the current market and will continue its demand even in the future.

...

HKR Trainings is one of the fastest growing online IT Training platforms with good achievements. We provide industry-oriented training skills to students and corporate employees to make them highly skilled and ready to work from day one. Also, we support the learners so they can acquire skills of good quality. Our trainers are also well experienced with many years of real-time industry exposure.

Training the candidates includes a lot of time, effort and money. Even then sometimes the candidates may not reach the expectations of the company. Using this Hire Train Deploy program offered by HKR Trainings, Corporate companies can save a lot of time and money and can get the resources with all the skills they need, to work on the project right from the first day.

At HKR Trainings, we Conduct “Hire, Train and deploy” programs on various trending technologies. However we are experts in Digital Marketing, Python, Data Science, Full stack Java and Full stack Web development

Before we train the candidate we gather your requirements, identify the skills gap of the candidates and start our training to the candidates. We ensure that we train the candidate as per your requirements. We even test them and analyze their skills if they meet your requirements and will be able to work right from day one or not before we deploy them. So there is no question of not being satisfied.

We train the candidates as per your requirements. You are welcome, if you would like the candidate to acquire additional skills during our training process. We are even ready to serve you better by providing the candidate with additional specialized skills even in the future after the deployment.

...

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Data science course in Canada

Data Science Course Canada - Course Overview

Who Should Attend

Prerequisites

Data science course in Canada Objectives

What will you learn during the data science course in Canada?

Who should take up this Data Science training Course in Canada?

What are the prerequisites for taking up the Data Science training online course in Canada?

How to start with the Data Science training Course in Canada?

Who issues the course completion certificate in Canada?

Who delivers the Data Science training Course in Canada?

What are the benefits of the certified Data Science training Certification in Canada?

Who delivers the Data Science training Course in Canada?

Do we provide job assistance for the Data Science training Course in Canada?

Data Science Course Canada - Course Content

Module 1: Introduction to Data Science

Module 2: Data Exploration

Module 3: Data Manipulation

Module 4: Data Visualization

Module 5: Introduction to Statistics

Module 6: Machine Learning

Module 7: Logistic Regression

Module 8: Decision Trees and random forest

Module 9: Unsupervised Learning

Module 10: Recommendation engines and Association rule mining

Module 11: Introduction to AI

Module 12: Time Series Analysis

Module 13: Naive Bayes

Module 14: Text Mining

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Data Science Course London Options

Live Online Training

1:1 Live Online Training

Self-Paced E-Learning

Vikram Prathap

Hrushikesh

Saaz Rai

Deeksha

Samreen sultana

Corporate Training

Training for Employees

Hire Train Deploy

Frequently Asked Questions

What is corporate training?

Is corporate training effective?

On what technologies do you offer corporate training?

What are the benefits of corporate training?

What skills do our Corporate Trainers have?

Why should we choose your Corporate training program?

Data science project

Color Detection

Detection Of Brain Tumor

Recognition Of Speech Emotion

Fake News Detection App

HKR Website Reviews

Mounika Reddy

Nagarani

Srijan

Mounika Reddy

Nagarani

Srijan

Data science course in Canada FAQ's

Live Online

1:1 Online

Self Paced

Payment

Do we need coding skills to learn Data Science?

Who is eligible for this data science course?

Is data Science difficult to learn?

Which language should I learn for data Science?

Does data science have a future?

What if I miss a Class?

Will I get placement assistance?

Can I attend a demo session before enrollment?

What if I have more queries?

What if I am not satisfied with the training provided?

Why choose HKR Trainings as a training partner?

How is this Program helpful for the corporate companies?

What type of technologies do you offer training to the candidates?

What if we are not satisfied with the skills of the candidates?