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Intellipaat Data Analytics training course in Toronto will help you be a master in data manipulation with R programming, data visualization and advanced analytics topics like regressions and data mining using RStudio. During this R programming training in Toronto, you will work on real-life projects and assignments to master Data Analytics. So, enroll for the best R programming certification course designed by experts.
Intellipaat R for Data Analytics course in Toronto helps you master concepts like
Intellipaat R for Data Analytics course in Toronto is exclusively designed by industry experts for
We don’t expect any prior knowledge from your side for this Data Analytics training. However, a basic knowledge of programming language can be helpful.
Modern companies have increasingly started analyzing dark data, thanks to the emergence of Big Data Analytics. This growth has led to the development of powerful programming environments like R programming which allows companies to extract meaningful insights. This is the reason behind the growing importance of R programming, and hence Data Analysts, Business Analysts and Data Scientists are recommended to learn this language.
Intellipaat’s R Programming training course helps you grab top Data Analytics jobs through lab sessions and the project work based on real-life use cases. This course content teaches all skills needed to qualify for the R Certification exam with good scores. Give a head start to your career by enrolling in R Programming for Data Analytics online course in Toronto, today!
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Intellipaat has given me the confidence that anyone can become a Data Scientist with its rich course and expert guidance. With the help of Intellipaat, I switched from a non-tech role to a Data Scientist.
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Becoming a Data Scientist from a Customer Service Agent was possible only due to expert guidance by Intellipaat trainers. Even after working for 10 years in customer care, I am a Data scientist today.
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I got promoted to Sr. Technical Associate with a 60% hike after completing this course from Intellipaat. The training taught me new skills and how to implement the same in my current role.
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Intellipaat made my transition from civil engineering graduate to IT industry professional smoothly with its round-the-clock support, excellent curriculum, industry-standard projects, and efficient trainers.
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I successfully transitioned from an Electrical Engineer to a Data Scientist in a few months after enrolling in this training from Intellipaat. I received great learning support and rich study material. Thank you Intellipaat.
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Today, I am a certified Data Scientist and this has happened post I enrolled in this program. It covers all the necessary concepts and techniques in lucid language. I am thankful to Intellipaat for giving me this career growth.
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Intellipaat offered me the best learning experience, and today, I have successfully transitioned from a Manager in Edutech to a Data Scientist. The comprehensive curriculum and the career guidance sessions helped me a lot.
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Thanks to Intellipaat, I was able to switch to the role of a Program Manager from a Microsoft Dynamics Consultant. Gaining knowledge in the latest technologies as per industry standards helped me the most.
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R language for statistical programming, various features of R, introduction to RStudio, statistical packages, familiarity with different data types and functions, learning to deploy them in various scenarios, use SQL to apply ‘join’ function, components of RStudio like code editor, visualization and debugging tools and learn about R-bind
R functions, code compilation, and data in well-defined format called R Packages, R Package structure, package metadata and testing, CRAN (Comprehensive R Archive Network), vector creation and variables values assignment
R functionality, Rep function, generating repeats, sorting and generating factor levels, transpose and stack function
Introduction to matrix and vector in R, understanding various functions like Merge, Strsplit, Matrix manipulation, rowSums, rowMeans, colMeans, colSums, sequencing, repetition, indexing and other functions
Understanding subscripts in plots in R, how to obtain parts of vectors, using subscripts with arrays, as logical variables, with lists and understanding how to read data from external files
Generate plots in R, graphs, bar plots, line plots, histograms and components of a pie chart
Understanding analysis of variance (ANOVA) statistical technique, working with pie charts and histograms, and deploying ANOVA with R, one-way ANOVA, and two-way ANOVA
K-Means clustering for cluster and affinity analysis, cluster algorithm, cohesive subset of items, solving clustering issues, working with large datasets, association rule mining affinity analysis for data mining, and analysis and learning co-occurrence relationships
Introduction to Association Rule Mining, various concepts of Association Rule Mining, various methods to predict relations between variables in large datasets, algorithm and rules of Association Rule Mining, and understanding single cardinality
Understanding what is simple linear regression, various equations of line, slope, Y-intercept regression line, deploying analysis using regression, the least square criterion, interpreting the results and standard error to estimate and measure of variation.
Scatter plots, two-variable relationship, simple regression analysis, and line of best fit
Deep understanding of measure of variation, the concept of co-efficient of determination, F-test, the test statistic with an F-distribution, advanced regression in R and prediction linear regression.
Advanced logistic regression, understanding how to predict using logistic regression, ensuring if the model is accurate, understanding sensitivity and specificity, confusion matrix, what is ROC, a graphical plot illustrating binary classifier system and ROC curve in R for determining sensitivity/specificity trade-offs for a binary classifier.
Detailed understanding of ROC, area under ROC curve, converting the variable, data set partitioning, understanding how to check for multicollinearity, how two or more variables are highly correlated, building of model, advanced data set partitioning, interpreting of the output, predicting the output, detailed confusion matrix and deploying the Hosmer-Lemeshow test for checking whether the observed event rates match the expected event rates
Data analysis with R, understanding the Wald test, MC Fadden’s pseudo R-squared, the significance of the area under ROC curve, Kolmogorov–Smirnov chart which is a non-parametric test of one-dimensional probability distribution.
Connecting to various databases from the R environment, deploying the ODBC tables for reading the data and visualization of the performance of the algorithm using the confusion matrix
Creating an integrated environment for deploying R on Hadoop platform, working with R Hadoop, RMR package and R Hadoop integrated programming environment and R programming for MapReduce jobs and Hadoop execution.
Logistic Regression Case Study
In this case study, you will get a detailed understanding of the advertisement spends of a company that will help drive more sales. You will deploy logistic regression to forecast the future trends, detect patterns and uncover insights and more, all through the power of R programming. Due to this, the future advertisement spends can be decided and optimized for higher revenues.
Multiple Regression Case Study
You will understand how to compare the miles per gallon (MPG) of a car based on various parameters. You will deploy multiple regression and note down the MPG for the car make, model, speed, load conditions, etc. It includes the model building, model diagnostic and checking the ROC curve, among other things.
Receiver Operating Characteristic (ROC) Case Study
You will work with various data sets in R, deploy data exploration methodologies, build scalable models, predict the outcome with highest precision, diagnose the model that you have created with various real-world data, check the ROC curve and more.
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This project, which is based on restaurant revenue prediction, has been included to let the learners predict the sales of restaurants, on the basis of certain objective measurements, by using the feature Engineering and Selection.
This project is included to provide hands-on learning. As a part of the project, work on data regarding flowers and their petals’ dimensions. Use this data to successfully predict the class that the particular flower belongs to.
The project aims to provide a practical experience to the learners in finding the most impacting factors in the preferences of prepaid models along with identifying which variables are highly correlated with impacting factors.
Get practical exposure to working with stock data to predict future prices. This scenario-based real-life project focuses on machine learning by creating predictive data models to successfully predict future stock prices.
Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends — the possibilities are endless and our community has something for everyone!
This course is designed for clearing the Intellipaat R Certification exam.
As part of this training, you will be working on real-time projects and assignments that have immense implications in the real-world industry scenarios, thus helping you fast-track your career effortlessly.
At the end of this training program, there will be a quiz that perfectly reflects the type of questions asked in the certification exam and helps you score better marks.
The certification will be awarded upon the completion of the project work (after the expert review) and upon scoring at least 60% marks in the quiz. Intellipaat certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.
Really a well-prepared R online training course, clear presentations and good speakers. Everything is professionally done. Great lessons for beginning with Data Analytics with R...!
Thank you Intellipaat for providing such a great R programming certification course content. It must be recommended for all people who are looking for a future in Data Analytics. Great job of covering all tasks and topics in an easy-to-follow rhythm.
The course is thorough, well-structured, and provides a comprehensive knowledge of the Data Analytics field. The practice assignments and projects helped me a lot in nourishing my skills.
Intellipaat offers a comprehensive R Programming course in Toronto for professionals who want to expand their knowledge base and start a career in this field. With this industry-designed training, you will master various aspects of graphical representation, statistical analysis and reporting. This Data Analytics online course in Toronto will also make you proficient in the concepts of functions, data structures, variables and flow of control. Upon the successful completion of the training, you will be awarded the Intellipaat R Certification.
Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.
Intellipaat does not directly forward resumes to any companies or recruiters. However, we do have a placement team that will conduct a number of mock interviews and will assist you in updating your resume to prepare you for job interviews. So after completing Data Science Masters program in Collaboration with IBM, the team helps you land a lucrative job in the Data Analytics domain.
In the career mentoring session at Intellipaat, our Data Analytics experts offer solutions to all your queries that are based on career opportunities and the growth available in this domain.
Intellipaat selects subject matter experts from top MNCs, who have at least 8 to 12 years of experience in the domain, as instructors. They are qualified Data Analytics instructors and are selected after going through our rigorous selection process and proving their capabilities.
Intellipaat’s teaching assistants are SMEs whose main aim is to make you a certified professional in the respective domain. The trainers conduct interactive video lectures to teach the latest technologies and enrich your experience with various industry-based projects. The teaching assistance provided by Intellipaat is only available during regular hours.
Intellipaat provides various group offers and discounts for its R for Data Analyst training course as per the size and type of the particular group. If you wish to avail the discount, you need to get in touch with our course advisors who will explain to you all the details regarding it.
Toronto is one of the emerging IT hubs in Canada constantly striving to integrate Big Data Analytics with technology innovations. This purpose has been successfully addressed by R Programming which lets the companies perform complex statistical computations and make the process of analytics a lot easier. Therefore, the companies are looking for skilled Data Analytics professionals to carry out this job efficiently.
At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.
Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.
Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.
You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.
Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.
Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.