Data science course in Canada

Get Your Dream Job With Our Data science course in Canada

The most comprehensive Data Science course in canada has been introduced by HKR trainings. During the course training many stages of the Data Science Lifecycle are examined. The introduction to Statistics, Probability, Python, and R programming is the first step in this Data Science training in Hyderabad. Data Preparation, Data .....Cleansing, Exploratory Data Analysis, and Data Mining will subsequently be conceptualized by the student (Supervised and Unsupervised). Understand how Feature Engineering, Feature Extraction, and Feature Selection work. Data Mining (Supervised) with Linear Regression and Predictive Modeling with Multiple Linear Regression Techniques will also be covered. Unsupervised Data Mining with Clustering, Dimension Reduction, and Association Rules are also covered in depth. Authorized Data Science mentors in Canada can assist you in completing the Data Science certification course. Read more

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Why should I learn Data Science?

By 2022, the demand for Data Scientists is expected to increase by 30%. With t.....he introduction of Cloud and IoT technologies, data has grown at an exponential rate, resulting in an increase in data scientist employment in the fields of Machine Learning and Big Data technology.  A data scientist's position will evolve in the future to become more of a collaborator and facilitator, rather than merely a technical expert.  An entry-level Data Science fresher can expect to earn roughly Rs.4.0 lakhs. And if he decides to stay for another 5 to 10 years on the job, he will be promoted to a layer earning Rs 7 to 11 lakhs per year. If he perseveres and dedicates himself, he will succeed Read more

Data scientists are rare and expensive and on demand in today's market.

As a Data Scientist, you need to know the business problem, develop a predictive..... analytics strategy, retrieve and format the required data, apply algorithms or technologies using the right tool, and end up making data-backed suggestions. Read more

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Data Science Course Canada - Course Overview

Data Science is a collection of statistical, data analysis, and machine learning approaches for extracting and analyzing large amounts 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

Data Science Course Canada - Course Content Download Curriculum

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
We at HKR trainings provide the learners with practice Mock Interview Sessions and excellent Job Support at the end of the course.
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Data Science Training Course Canada - Advantages

This Technology Offers Excellent Career Opportunities Worldwide.

Salaries Offered for Certified Professionals is Very High and More Number of People Started Learning this Course.

It has a Great Learning Scope

Streamlined Work Process Helps You Execute all Complex Tasks Easily.

Fast track your career growth with Data science course in Canada Certification course.

Data Science online 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.

To start with this Data Science training, you need to either click on the Enrol Now icon at the top of the screen, or contact us at our customer care number, or just enter your details in the pop-up and submit it. Our Team will contact you as soon as possible and give you more information regarding the training process.

Immediately after the successful completion of the course which is accompanied by the real time projects task and assignments, HKR trainings offers you the course completion certificate. This certification differentiates you from the other non-certified peers and also helps to get a job in any company in Canada very quickly.

The Data Science certified professionals at HKR trainings in Canada deliver the lectures to the individuals to unleash their abilities in this technology.

The benefits you can gain upon the completion of the certification are , you will be given higher preference for competitive jobs related to analytics.

The Data Science certified professionals at HKR trainings in Canada deliver the lectures to the individuals to unleash their abilities in this technology.

Yes! Right from the first day of your Data Science training, our trainers make sure that you are clear with all the concepts. And when you complete your course, you will also get assistance in resume preparation, etc., which gives you the confidence to clear your interview. Moreover, We are also tied up with some corporate companies. So when they have a requirement, we forward your profiles to them.

Interested in our Data science course in Canada program ?

Data Science Course London Options

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Data science Certification

Certifications provide evidence of the attributes and expertise that you possess. If you are well certified, they will help you to lift your professional career. Data scientist certifications are broadly classified as below:

Microsoft Certified Solution Expert:

An MCSE certification covers all the IT skills to become a data scientist. For the data science certification, Microsoft provides two courses, namely:

  • Focus on data management and analytics
  • And business applications.

Cloudera Certified Professional Data Engineer:

This certification shows your essential skills and in-depth experience as a data analyst.

HKR effectively designed the data science course by covering all the concepts required to clear all the certification mentioned above exams. Once you are done with your complete training, you need to work on real-time projects to gain practical experience. We will provide a course completion certificate. Join HKR Trainings today to improve your tech skills as a data scientist.

HKR Trainings Certification

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Data science project

The best way to learn something is by doing. So when you complete your theoretical sessions on Data Science training we provide you with real time projects. This hands-on learning will help you to remember the concepts better and offer you a valuable hands-on experience, making you more equipped to apply your knowledge in your regular work. So, at HKR Trainings, we provide our learners with real time projects which help them to learn the concepts practically. The real time projects we offer will also help the learners to test themselves on how well they are acquainted with the concepts of Data Science. 

When you complete your Data Science Course in Canada, we offer you the following projects:

  • Color Detection
  • Detection of Brain tumor
  • Recognition of speech emotion
  • Fake news detection App

In this project we will create an application that will detect the selected color from an image. For developing this application we 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. 

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

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.

In this project, you will create an application that will determine the legitimacy of the information. Fake news spreads very quickly 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.

Our Learners

Srinu

Srinu

Hello everyone, Srinu just completed a data science course in Canada. When I was trying to complete..... the projects in my Python Data Science class, I stumbled into issues. The Teaching Assistant was helpful and gave step-by-step instructions for resolving the issues via web chat sessions.. A perfect place to build your tech skills Read more

Suhas

Suhas

HKR trainings is the most effective online learning platform. This is where I received my Data Scien.....tist certification. The instructors are quite educated. It has a well-structured curriculum. The manner in which the information is presented is quite admirable. HKR trainings deserves praise. Read more

Hema

Hema

HKR trainings is a platform for anyone interested in Data Science, Artificial Intelligence, or Cloud..... Computing. This is one of the best online instructor-led portals I've come across, and I highly suggest it. After earning the certification, I was able to advance my career from Hadoop Developer to Big Data Engineer, resulting in a significant pay raise. Read more

Data science course in Canada Reviews

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.

Every class is recorded. If you have missed your class, you can learn those concepts from the recorded sessions of the missed class. So, No worries! 

Yes! Right from the first day of your Data Science training, our trainers make sure that you understand all the concepts and provide you with complete guidance to reach your dream job. And when you complete your course, we will also assist you in your resume preparation which will give you the confidence to clear your interview. Moreover, We are also tied up with some corporate companies. So when they have a requirement, we forward your profiles to them.

At HKR, we provide a free demo session for training seekers so they can check our quality and method of education before they enroll.

You can contact our customer care number if your query does not belong to any of the questions we have addressed in this article. We will get back to you as soon as possible.

HKR Trainings assures that the learners get a quality course from our trainers. You (the learners) will have lifetime access to recorded sessions. So in case of any doubts, you can watch these recorded sessions or even can ask your trainers to clarify them. Moreover, you will also be working on a real-time project which will help you understand the concepts more clearly. So there is no question of not being satisfied.

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