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Data Science with R Programming Training in San Francisco

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Intellipaat’s R programming training course in San Francisco will help you be a master in data manipulation with R programming, data visualization, and advanced analytics topics such as regression and data mining using RStudio. During this R programming course, you will work on real-life projects and assignments to master Data Science with R. Enroll in the best R programming certification course designed by experts.

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Key Highlights

40 Hrs Instructor Led Training
16 Hrs Self-paced Videos
32 Hrs Project & Exercises
Certification
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
Mentor Support
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R Language Training in San Francisco Overview

What will you learn in this R programming course in San Francisco?

Intellipaat’s R for Data Science course in San Francisco helps you master the following concepts:

  1. Fundamentals of R programming language
  2. Creating visualizations like charts, vectors and plots
  3. Assigning values to variables
  4. Performing activities like sorting, analyzing variance and cluster
  5. Database connectivity
  6. Integrating R programming with Hadoop
  7. ODBC tables reading and linear and logistic regression

Intellipaat’s R for Data Science course in San Francisco is exclusively designed by industry experts for:

  • Software Engineers and Data Scientists
  • Business Intelligence Professionals
  • SAS Developers wanting to learn the open-source technology
  • Those aspiring for a career in Data Science

We don’t expect any prior knowledge from your side for joining this R certification training. However, a basic knowledge of programming language can be helpful.

San Francisco is the nerve center for top-notch technology firms. Most of the budding technologies have emerged from this city. As research is an important part of innovation, companies look for a powerful and flexible programming environment meant for performing complex statistical computations. Since R programming addresses all these, the demand for Data Science professionals is rising in this city.

  • 70% of companies say that Analytics is integral to making decisions – IBM Study
  • 19% is the annual growth rate of the Analytics market – Pringle & Company
  • R Programmers can earn around US$110,000 per year – O’Reilly Survey

Modern businesses constantly keep track of changing market dynamics to understand trends and patterns. This requires cutting-edge technologies such as R programming, which is widely adopted by firms across industries. Intellipaat’s Data Science with R programming courses in San Francisco will help you master the most coveted skills through lab sessions and the real-time project. Moreover, this training will help you score better in the R certification exam. Enroll in this course and kick-start your career in Data Science, Today!

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Course Fees

Self Paced Training

  • 16 Hrs e-learning videos
  • Flexible Schedule
  • Lifetime Free Upgrade

$246

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 Support
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R Programming Course Curriculum

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Introduction to R

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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

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R Packages

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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

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R functionality, Rep function, generating repeats, sorting and generating factor levels, transpose and stack function

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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

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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

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Generate plots in R, graphs, bar plots, line plots, histograms and components of a pie chart

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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

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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

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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

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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.

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Scatter plots, two-variable relationship, simple regression analysis, and line of best fit

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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.

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Logistic regression mean and logistic regression in R

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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.

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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

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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.

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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

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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.

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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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R Programming Projects

Peer Learning

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!

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R Certification in San Francisco

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This course is designed for clearing Intellipaat’s R certification exam.

As part of this R Programming in San Francisco classes, 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 San Francisco, 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.

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Data Science Course with R FAQs

Why should I learn R programming in San Francisco from Intellipaat?

Intellipaat offers a comprehensive R programming course in San Francisco 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 San Francisco 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.

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 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 training 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.

For a place like San Francisco which is considered to be the hottest technology market in the USA, the need for business analytics becomes the prime importance for all sorts of businesses to cope with increasing competition. Since R programming is a prominent name in this domain, candidates who have a good grasp of this language are increasingly hired by top MNCs with attractive salary packages.

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 provides placement assistance to all learners who have successfully completed the training and moved to the placement pool after clearing the PRT( Placement Readiness Test) More than 500+ top MNC’s and startups hire Intellipaat learners. Our Alumni works with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

Apparently, no. Our job assistance 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.

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