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Intellipaat’s R programming training course in Los Angeles helps you master the top statistical computing language. You will learn about visualizing data, deploying linear and non-linear regression models, data mining with RStudio, and more. During this R programming training in Los Angeles, you will work on real-life projects and assignments to master Data Science. Enroll in the best R programming certification course designed by experts.
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Intellipaat’s R for Data Science course in Los Angeles helps you master the below concepts:
Intellipaat’s R for Data Science course in Los Angeles is exclusively designed by industry experts for:
We don’t expect any prior knowledge from your side for this Data Science training. However, a basic knowledge of programming language can be helpful.
The city of Los Angeles is central to the American economy as it houses top enterprises cutting across industry verticals. Due to the rapid digitization and the availability of Big Data, there is a need to derive valuable business insights. R is the top tool used for analytics and statistical computing for making data-driven decisions. Due to this, there is a huge number of Data Science job opportunities available in Los Angeles, California.
R is one of the most suited programming languages when it comes to Data Science. It is being extensively used for converting raw data into valuable nuggets of information. If you want to get ahead in your career, then you need to consider learning the R programming language that can help you make a career in Data Science with R programming specialization. Thus, Intellipaat’s R programming for Data Science online course in Los Angeles helps you grab top programming jobs, through lab sessions, assignments, and project work.
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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.
Logistic regression mean and logistic regression in R
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.
R Programming Projects
This course is designed for clearing Intellipaat’s R certification exam.
As part of this course on R programming in Los Angeles, you will be working on real-time projects and assignments that have immense implications in real-world industry scenarios, thus helping you fast-track your career effortlessly.
At the end of this R classroom training in Los Angeles, there will be a quiz that perfectly reflects the type of questions asked in the certification exam and helps you score better.
The certification will be awarded upon the completion of the project work (after expert review) and scoring at least 60 percent marks in the quiz. This certification is well-recognized by top 80+ MNCs such as Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.
Land Your Dream Job Like Our Alumni
Intellipaat offers a comprehensive R Programming course in Los Angeles 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 R language training in Los Angeles 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 Intellipaat’s R certification.
Intellipaat offer courses on Artificial Intelligence, Python for Data Science, Machine Learning, Big Data Hadoop & Spark, and Business Analysis.
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 this R for Data Science program, the team will help you land a lucrative job in the Data Science domain.
In the career mentoring session at Intellipaat, our Data Science 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 Science and R programming instructors who 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 Science course as per the size and type of the particular group. If you wish to avail of the discount, you need to get in touch with our course advisors who will explain to you all the details regarding it.
The market in Los Angeles is definitely rising, thanks to the need for a powerful open-source tool for statistical analysis like R programming. This rising trend in R tool will only get better in the future because of its excessive deployment in Los Angeles. Getting the right R training in Los Angeles that is designed by the industry can help professionals make the best of this growing Data Science market opportunity in this city.
Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.
Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.
No, our job assistance is aimed at helping you land 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 hiring decision will always be based on your performance in the interview and the requirements of the recruiter.