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R Programming, SAS Training Combo

Our R, SAS master program lets you gain proficiency in top statistical computing and data analytics tool. You will work on real work projects in R programming, R-calculator, Operators, Functions, R integration with Hadoop, data mining, statistical analysis, forecasting.

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Key Features

36 Hrs Instructor Led Training
36 Hrs Self-paced Videos
72 Hrs Project work & Exercises
Certification and Job Assistance
Flexible Schedule
Lifetime Free Upgrade
24 x 7 Lifetime Support & Access

Overview

Master R Programming language and use of SAS Software to apply in Analytical Projects for multiple industrial domains and scenarios

This is a Combo Training Course in the statistical programming language R and business analytics tool SAS. Together these two technologies can help you make sense of data flowing into an organization, decipher, visualize and analyze it on a whole new scale.

What you will learn in this Training Course?

  1. Introduction to R programming and SAS tool
  2. Learn R-Calculator functionality
  3. Work with Stack, Merge and Strsplit
  4. Understand matrix manipulation
  5. R integration with Hadoop
  6. SAS environment and various windows
  7. Work with operators, functions and logical statements
  8. Study SAS graphs and summary reports
  9. Learn about Advanced SAS and Base SAS
  • Business Intelligence, Analysts, and Data Scientists
  • Software, SAS developers and IT professionals

There are no specific requirements for taking this Training Course.

Since R is one of the best statistical language and graphical representation techniques and SAS is a highly sophisticated business analytics tool this combo course will give you all the right skills to take up high paying jobs in the business intelligence and analytics domain. You will be able to handle huge amounts of data, create graphical representation, deploy database and spreadsheet data to extract business intelligence out of it.

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Course Fees

Self Paced Training

  • 36 Hrs e-learning videos
  • Lifetime Free Upgrade
  • 24 x 7 Lifetime Support & Access
$241

Online Classroom preferred

  • Everything in self-paced, plus
  • 36 Hrs of instructor-led training
  • 1:1 doubt resolution sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
  • 08 Aug
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 15 Aug
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
$527 10% OFF Expires in
$0

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 support
  • Strong Reporting

R Programming and SAS Course Content

R Programming Course Content

Introduction to R preview videos

R language for statistical programming, the various features of R, introduction to R Studio, the statistical packages, familiarity with different data types and functions, learning to deploy them in various scenarios, use SQL to apply ‘join’ function, components of R Studio like code editor, visualization and debugging tools, learn about R-bind.

R Functions, code compilation and data in well-defined format called R-Packages, learn about 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 the 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, understanding how to read data from external files.

Generate plot in R, Graphs, Bar Plots, Line Plots, Histogram, components of Pie Chart.

Understanding Analysis of Variance (ANOVA) statistical technique, working with Pie Charts, Histograms, deploying ANOVA with R, one way ANOVA, two way ANOVA.

K-Means Clustering for Cluster & 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, the various concepts of Association Rule Mining, various methods to predict relations between variables in large datasets, the algorithm and rules of Association Rule Mining, understanding single cardinality.

Understanding what is Simple Linear Regression, the various equations of Line, Slope, Y-Intercept Regression Line, deploying analysis using Regression, the least square criterion, interpreting the results, standard error to estimate and measure of variation.

Scatter Plots, Two variable Relationship, Simple Linear Regression analysis, Line of best fit

Deep understanding of the measure of variation, the concept of co-efficient of determination, F-Test, the test statistic with an F-distribution, advanced regression in R, prediction linear regression.

Logistic Regression Mean, Logistic Regression in R.

Advanced logistic regression, understanding how to do prediction using logistic regression, ensuring the model is accurate, understanding sensitivity and specificity, confusion matrix, what is ROC, a graphical plot illustrating binary classifier system, 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 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 to 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.

SAS Certification Course Content

Installation and introduction to SAS, how to get started with SAS, understanding different SAS windows, how to work with data sets, various SAS windows like output, search, editor, log and explorer and understanding the SAS functions, which are various library types and programming files.

How to import and export raw data files, how to read and subset the data sets, different statements like SET, MERGE and WHERE

Hands-on Exercise: How to import the Excel file in the workspace and how to read data and export the workspace to save data

Different SAS operators like logical, comparison and arithmetic, deploying different SAS functions like Character, Numeric, Is Null, Contains, Like and Input/Output, along with the conditional statements like If/Else, Do While, Do Until and so on

Hands-on Exercise: Performing operations using the SAS functions and logical and arithmetic operations

Understanding about input buffer, PDV (backend) and learning what is Missover

Defining and using KEEP and DROP statements, apply these statements and formats and labels in SAS.

Hands-on Exercise: Use KEEP and DROP statements

Understanding the delimiter, dataline rules, DLM, delimiter DSD, raw data files and execution and list input for standard data

Hands-on Exercise: Use delimiter rules on raw data files

Various SAS standard procedures built-in for popular programs: PROC SORT, PROC FREQ, PROC SUMMARY, PROC RANK, PROC EXPORT, PROC DATASET, PROC TRANSPOSE, PROC CORR, etc.

Hands-on Exercise: Use SORT, FREQ, SUMMARY, EXPORT and other procedures

Reading standard and non-standard numeric inputs with formatted inputs, column pointer controls, controlling while a record loads, line pointer control/absolute line pointer control, single trailing, multiple IN and OUT statements, dataline statement and rules, list input method and comparing single trailing and double trailing

Hands-on Exercise:  Read standard and non-standard numeric inputs with formatted inputs, control while a record loads, control a line pointer and write multiple IN and OUT statements

SAS Format statements: standard and user-written, associating a format with a variable, working with SAS Format, deploying it on PROC data sets and comparing ATTRIB and Format statements.

Hands-on Exercise: Format a variable, deploy format rule on PROC data set and use ATTRIB statement

Understanding PROC GCHART, various graphs, bar charts: pie, bar and 3D and plotting variables with PROC GPLOT

Hands-on Exercise: Plot graphs using PROC GPLOT and display charts using PROC GCHART

SAS advanced data discovery and visualization, point-and-click analytics capabilities and powerful reporting tools

Character functions, numeric functions and converting variable type

Hands-on Exercise: Use functions in data transformation

Introduction to ODS, data optimization and how to generate files (rtf, pdf, html and doc) using SAS

Hands-on Exercise: Optimize data and generate rtf, pdf, html and doc files

Macro Syntax, macro variables, positional parameters in a macro and macro step

Hands-on Exercise: Write a macro and use positional parameters

SQL statements in SAS, SELECT, CASE, JOIN and UNION and sorting data

Hands-on Exercise: Create SQL query to select and add a condition and use a CASE in select query

Base SAS web-based interface and ready-to-use programs, advanced data manipulation, storage and retrieval and descriptive statistics

Hands-on Exercise: Use web UI to do statistical operations

Report enhancement, global statements, user-defined formats, PROC SORT, ODS destinations, ODS listing, PROC FREQ, PROC Means, PROC UNIVARIATE, PROC REPORT and PROC PRINT

Hands-on Exercise: Use PROC SORT to sort the results, list ODS, find mean using PROC Means and print using PROC PRINT

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R Programming and SAS Projects

What projects I will be working on this R Programming training?

Project 1

Domain – Restaurant Revenue Prediction

Data set – Sales

Project Description – This project involves predicting the sales of a restaurant on the basis of certain objective measurements. This project will give real time industry experience on handling multiple use cases and derive the solution. This project gives insights about feature engineering and selection.

Project 2

Domain – Data Analytics

Objective – To predict about the class of a flower using its petal’s dimensions

Project 3

Domain – Finance

Objective – The project aims to find the most impacting factors in preferences of pre-paid model, also identifies which are all the variables highly correlated with impacting factors

Project 4

Domain – Stock Market

Objective – This project focuses on Machine Learning by creating predictive data model to predict future stock prices

Project 1 – Build analytical solution for patients taking medicines

Domain: Health Care

Objective – This project aims to find out descriptive statistics & subset for specific clinical data problems. It will give them brief insight about BASE SAS procedures and data steps.

Project 2 – Build revenue projections reports

Domain: Sales

Objective – This project will give you hands-on experience in working with the SAS data analytics and business intelligence tool. You will be working on the data entered in a business enterprise setup, aggregate, retrieve and manage that data. You will learn to create insightful reports and graphs and come up with statistical and mathematical analysis to scientifically predict the revenue projection for a particular future time frame. Upon completion of the project you will be well-versed in the practical aspects of data analytics, predictive modeling, and data mining.

Project 3

Domain: Finance Market

Objective – The project aims to find the most impacting factors in preferences of pre-paid model, also identifies which are all the variables highly correlated with impacting factors

Project 4

Domain: Analytics

Objective – k-Means Cluster analysis on Iris dataset to predict about the class of a flower using its petal’s dimensions

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R Programming and SAS Certification

This course is designed for clearing the SAS Certified Base Programmer. The entire training course content is in line with the certification program and helps you clear it with ease and get the best jobs in the top MNCs.

As part of this training you will be working on real time projects and assignments that have immense implications in the real world industry scenario thus helping you fast track your career effortlessly.

At the end of this training program there will be quizzes that perfectly reflect the type of questions asked in the certification exam and helps you score better marks in certification exam.

Intellipaat R Certification along with the Intellipaat Course Completion certificate will be awarded on the completion of assignments and Project work (upon expert review) and on scoring of 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.

Our Alumni works at top 3000+ companies

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R Programming And SAS Training Review

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Mr Yoga

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John Chioles

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Ritesh

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Dileep & Ajay

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Sagar

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Ashok

Aalok Nath

Senior Sas Programmer at IBM

Really well prepared R online training course:clear presentations, good speakers, everything is professionally done. Great lessons for beginning with Business Analytics With R.....!!

Vikram seth

Datawarehouse analyst at Accenture

This is a really good course to start working with SAS technology. Great Job!

Deepa Joshi

Software Engineer at Infosys

I completed SAS training from Intellipaat that was completely in line with the Base SAS certification. Excellent materials and presentations, Totally satisfied with the decision of purchasing a course from intellipaat. I learnt completely about SAS and I can directly apply to my work. The whole lectures, topics, section wise content arrangement and overall content are quite good. The Base SAS certification training session was designed to make professionals understand overall SAS concepts thoroughly.

Sunidihi Singh

SAS Programmer at Accenture

NO DOUBTS!! Intellipaat is the best self-paced course providing institute.I am going with the SAS training and found course content is excellent and very useful.Everything is so well explained. cheers up!!

Frequently Asked Questions about R Programming and SAS

Why should I learn R and SAS from Intellipaat?

Intellipaat provides the industry-leading combo course in R programming and SAS. As part of the training you will gain full proficiency in the statistical computing tool R along with deploying the SAS software for advanced analytics, data management and business intelligence. This training will help you to understand deciphering and visualizing of data for deriving extreme business insights. The entire training is in line with clearing the BASE SAS Professional Certification Exam.

You will be working on real time projects that have high relevance in the corporate world, step by step assignments and curriculum designed by industry experts. Upon completion of the training course you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 Support, and course material upgrading to latest version at no extra fees. Hence it is clearly a one-time investment.

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 the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the 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 trainers.

You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.

Intellipaat offers self-paced training to those who want to learn at their own pace. This training also gives you the benefits of query resolution through email, live sessions with trainers, round-the-clock support, and access to the learning modules on LMS for a lifetime. Also, you get the latest version of the course material at no added cost.

Intellipaat’s self-paced training is 75 percent lesser priced compared to the online instructor-led training. If you face any problems while learning, we can always arrange a virtual live class with the trainers as well.

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.

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