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R Programming, SAS Training Combo

4.8 (508 Ratings)

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.

Java or Solr or CompTIA Cloud

Key Highlights

36 Hrs Instructor Led Training
36 Hrs Self-paced Videos
72 Hrs Project & Exercises
Certification
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
Mentor Support

Overview

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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Career Transition

57% Average Salary Hike

$1,28,000 Highest Salary

12000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

Course Fees

Self Paced Training

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

$241

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 Support
  • Enterprise grade reporting

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R Programming and SAS Course Curriculum

Live Course

R Programming Course Content

Introduction to R

Preview

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-Packages

Preview

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

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 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.

R Programming And SAS Training Reviews

4.8 ( 4,996 )

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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 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.

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