Quick Stats
Organizations rank analytics as the #1 contributing factor for a competition driven growth and survival. SAS is currently the most demnading and the widely used tool across data industry and we cater the Global SAS certification training program.
The Analytics industry is observing a steep growth while others are finding hard to survive.This is the new revolution in data science as a whole
Professionals with SAS Analytics certification make an easy platform for landing up in good role jobs. Freshers with certification are also given preference over others. Early entry in this field could take you far.
Benefits
SAS Analytics Certification
Knowledge of Data Science, Predictive Modeling, Machine Learning and Statistical Techniques algorithms with data driven approach
Real time data driven projects
Development of analytical and decision-making abilities by examining real-life case studies and coming up with strategies and decisions
Certification
Certification on SAS Analytics-Regression and Modeling is a great value-add for the student’s resume, which can help an individual pursue a promising career or a career growth
hands on model development
Industry recognized SAS Analytics-Regression and modeling certification from SAS after completion of the program.
Career Rise
Looking for switch, career growth, enhancement, upskill. This is the perfect module designed for the same. Take a step forward and be a part of the future drive
Who Should Attend
- Engineering and IT Students – BTech / BE, BCA, MCA, BSc-IT, MSc-IT
- Commerce & Finance Students - BCom / MCom, Economics Graduates, MBA or BBA
- Highly recommended for people aspiring for jobs that required data handling – Research, Marketing, IT Services, Big Data & more
- People who are already employed, but want to upskill themselves in the domain of Analytics
- As a prerequisite, its just your passion towards data and hard work that is the only requirement, rest is just a cake-walk.
Course Outcome
- Understanding of basic concepts and types of data
- Understanding of sampling techniques
- Data Science and Machine Learnig concepts with application
- Understanding of frequency distributions and measures of central tendency, dispersion and shape
- In Depth Knowledge of the Hypothests testing T-Test ANOVA
- In depth knowledge on Correlation and Regression
- In depth Knowledge of Predictive modeling using Logistic Regression
- Four live projects which is full hands on real time industrial data
Curriculum
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Basic ConceptsEnroll NowIntroduction to SAS toolSAS Libraries /Temporary Library/ Permanent LibraryCreating LibrariesStart with a Basic SAS programsData Step / Proc Step / Statements/ Global statementsVariables / Datatypes / properties of Variables
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Access DataEnroll NowINFILE statement options to read raw data filesCreating a file refrence with filename statementDATALINES statement with an INPUT statement
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Starting With Raw Data(Basics)Enroll NowStyles of InputReading Unaligned Data / Understanding List InputUnderstanding Column Input / Reading Data Aligned in Columns
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Formats and InformatsEnroll NowStandard Data/ Non Standard DataHow Informats and Format worksWorking with Date/Time/Datetime informatHow and when to use Yearcutoff
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Starting With Raw Data( Beyond Basics)Enroll NowFormatted Input styleUsing Modifiers
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Mixing Styles of InputEnroll NowTesting a Condition before Creating an ObservationCreating Multiple Observations from a Single RecordReading Multiple Records to Create a Single Observation
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PDV: How the DATA Step WorksEnroll NowWriting Basic Data StepHow SAS Processes ProgramsCompilation phaseExecution PhaseDebugging a Data StepTesting SAS Programs
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Manipulating SAS DatasetsEnroll NowCreating & Modifying VariablesAssigning Values ConditionallySpecifying Lengths for VariablesSubsetting DataAssigning Permanent Labels and Formats
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Grouping Statements Using DO GroupsEnroll NowAssigning Values Conditionally Using SELECT GroupsReading a Single Data SetManipulating DataUsing BY-Group ProcessingReading Observations Using Direct Access (Point= option)Detecting the End of a Data Set(end= option)Understanding How Data Sets Are Read through PDVRenaming VariablesSelecting Variables
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Combining SAS Data SetsEnroll NowOne-to-One ReadingConcatenatingInterleavingMatch-MergingMatch-Merge ProcessingExcluding Unmatched Observations
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Transforming Data with SAS FunctionsEnroll NowGeneral Form of SAS FunctionsConverting Data with FunctionsRestriction for WHERE ExpressionsManipulating SAS Date Values with FunctionsSAS Date and Time ValuesSAS Date FunctionsModifying Character Values with FunctionsModifying Numeric Values with FunctionsNesting SAS Functions
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Relevant base SAS proceduresEnroll NowAppend procedureSort procedureDatasets procedurePrintto procedureFormat procedureTranspose procedureImport procedureExport procedurePrint procedureTabulate procedureReport procedureMeans procedureSummary procedureFreq procedure
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Generating Data with DO LoopsEnroll NowConstructing DO LoopsIntroduction to Constructing DO LoopsDO Loop ExecutionCounting Iterations of DO LoopsDecrementing DO LoopsNesting DO LoopsIteratively Processing Data That Is Read from a Data SetConditionally Executing DO LoopsUsing Conditional Clauses with the Iterative DO StatementCreating Samples
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Processing Variables with ArraysEnroll NowCreating One-Dimensional ArraysUnderstanding SAS ArraysDefining an ArrayVariable Lists as Array ElementsReferencing Elements of an ArrayCompilation and ExecutionUsing the DIM Function in an Iterative DO StatementCreating Variables in an ARRAY StatementCreating Temporary Array Elements
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Analytics-An IntroductionEnroll NowWhat is Business AnalyticsDifference between Analytics and AnalysisImportance of Analytics in IndustryApplication of Analytics in IndustryLearning and the growth curve of AnalyticsPuzzleInterview Preparation
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Data and Variables-An introductionEnroll NowWhat is StatististicsWhat is an Average- Mean Median ModeDifferent types of Data and variablesBasic Statistical MeasuresPuzzleQuizCoding-An IntroductionDependent and Independent Variable
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Population and Sample-Sampling techniquesEnroll NowWhy do we need sample over a populationDifference between population and sampleSampling TechniquesSimple Random SamplingStratified Random SamplingSampling with and without replacementPuzzleAssignment
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Normal Distribution & Central Limit TheoremEnroll NowIntroduction to Bell CurveDeviation Vs Standard DeviationVariance and Standard deviationOutliers and their effects on basic statistical measuresSymmetric and Asymmetric curveBell Curve-Emperical Rule--Grading processQuiz
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Exploratory data AnalysisEnroll NowUnivariate anlysis vs Bivariate analysis Vs Multivariate analysisDecile, Percentile,Vintile,Quartile,QuantileProc Univarite- DetailedMoments , Basis Statistical Measures, Test for Location, Quantiles , Extreme ObservationAssignmentPuzzle
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Data VisualizationEnroll NowBox and whiskers plotRanking Algorithm-Proc Rank in detailOutlier- Detection Removal TreatmentMissing values- How critical are they to a dataMissing value Removal and imputationProc for missing value Treatment
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Hypothesis TestingEnroll NowHypothests testing - What does that meanWhat is Hypothesis and what we do we testNull Hypothesis and Alternate HypothesisSignificanace level and Confidence level- P value and α valueDecision making- Reject/Fail to Reject Null HypothesisConfidence IntervalAccuracy and ErrorType I Error and Type II Error
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Campaign ManagementEnroll NowTest and Control groupSolicit and Non SolicitResponder and Non ResponderTargets and Non TargetsMeasuring Cost/Revenue/Profit of a campaign2*2 profit/revenue contingency matrixActual Vs predicted conflictsAccuracy Error Sensitivity SpecificityPuzzleInterview preparation
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One Sample T-TestEnroll NowOne Sample T-test- What is the hypothsis for this testOne Sample T Test using proc ttestOne Sample T Test using proc univariateSides of a test- One sample- two sided, Upper tail, lower tailHow to apply T-test to the dataHow will this help in making a decisionGraphical interpretation of T testPuzzleAssignmentAssumptions to a 1 sample T Test
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Two sample T-test & Sides of a testEnroll NowDifference between a one sample and a two sample T-TestHypothesis for a T TestProc T Test for 2 sample T TestUnderstanding the results from the statistical point of viewPlotting the graph for visulizing T-TestSides of 2 sample T Test-2 sided, Lower tail and upper tailApplication of 2 Sample T TestPuzzleQuizAssumptions to 2 sample T-TEst
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Anova-Analysis of VarianceEnroll NowWhy do we need AnovaWhy cant we use a 3 Sample T TEstHypothesis Testing for AnovaAssumptions to Anova1 way Anova vs N Way AnovaPerforming 2 sample T test using AnovaCoefficient of determinationDegree of FreedomLevenes Test and F testInteraction - Type 1 and Type III SSBalanced Vs Unbalanced designProc AnovaProc GLMPuzzleInterview Preparation
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Anova-hPost Hoc Analysis TestEnroll NowWhy apply Post-hoc Test when applying AnovaControlled Design experimenExperimental Error RateMultiple Comparison TestReferential comparisonTukey and Dunnett Test- Sides of a testDiffogram and Control PlotMeans Vs LS MeansPuzzleMock Test
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Correlation-Different typesEnroll NowWhat is CorrelationWhy do need correlation analysis in any other analysisHow to measure correlationPearson and Spearman CorrelationCorrelation-Hypothesis TestProc CorrCorrelation MatrixCorrelation-graphical representation and InterpretationPuzzleCase Study
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Regression -Exploring the algorithmEnroll NowSimple Linear Regression and Multiple Linear RegressionRegression-Hypothesis TestingDegree of FreedomAnova table for RegressionWhat is Ordinary least squareParameter Estimate and InterceptSignificant and Non Significant VariablesRemoving RedundancyCollinearity- VIFPuzzleAssignment-Discussion
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Regression - Model BuildingEnroll NowRegression- Model BuildingR square and adjusted R square2 way honest assessment3 way honest assessmentHow to split Training validation TestOversampling Undersampling Overfitting UnderfittingModel Selection techniquesvariable selection techniquesModel building Vs Model FittingModel fit statisticsPuzzleMock Test
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Logistic Regression-IntroductionEnroll NowLogistic Regression-An IntroductionLogistic Regression-Need and the necessityWhy cant we apply regression everywhereAlgorithm to Logistic RegressionAsssumption to Logistic RegressionChecking the linearity amongst variablesChecking for collinearityRemoving Non LinearityLogistic Regression- Hypothesis testing
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What are odds ratioOdds ratio vs probabilityLog oddslog Vs natural LogComplete seperation Vs Quasi Complete SeperationData ConvergenceFischers TechniqueCreating and identifying the dependent variableData preparation for model building process
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Logistic Regression-Model BuildingEnroll NowSampling data for Training Validation TestFine tuning Assessment and final assessmentOut of sample validationOut of time validationVariable transformationVariable reduction techniquesVariable clusting techniquesIdentifying Collinearity amongst variablesInterpretation of Results
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Cumulative Lift ChartCumulative Gain ChartRelative operating characteristicsArea under the curveModel fit statisticsvalidation statisticsVariable selection techniquesSignificant and non significant variablesIdentifying the best variables for a model
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Model selection techniquesParameter estimate and Intercept% Concordant, %Discordant, %ties pairsCalculatig C value from the statisticsPuzzleInterview PreparationCase studyComparing training and validation statistics
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SAS SQL 1: EssentialsEnroll NowIntroducing the Structured Query LanguageOverview of the SQL procedureSpecifying columnsSpecifying rows
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Displaying Query ResultsEnroll NowPresenting dataSummarizing data
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SQL JoinsEnroll NowIntroduction to SQL joinsInner joinsOuter joinsComplex SQL joins
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SubqueriesEnroll NowNoncorrelated subqueriesIn-line views
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Set OperatorsEnroll NowIntroduction to set operatorsUnion operatorOuter Union operatorExcept operatorIntersect operator
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Creating Tables and ViewsEnroll NowCreating tables with the SQL procedureCreating views with the SQL procedure
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Advanced PROC SQL FeaturesEnroll NowDictionary tables and viewsUsing SQL procedure optionsInterfacing PROC SQL with the macro language
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SAS Macro LanguageEnroll NowIntroductionGetting Familiar to the macro facility
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Macro VariablesEnroll NowIntroduction to macro variablesAutomatic macro variablesMacro variable referencesUser-defined macro variablesDelimiting macro variable referencesMacro functions
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Macro DefinitionsEnroll NowDefining and calling a macroMacro parameters
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DATA Step and SQL InterfacesEnroll NowCreating macro variables in the DATA stepIndirect references to macro variablesCreating macro variables in SQL
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Macro ProgramsEnroll NowConditional processingParameter validationIterative processingGlobal and local symbol tables
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Advanced SAS Programming TechniquesEnroll NowMeasuring Efficiencies
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Controlling I/O Processing and MemoryEnroll NowSAS Data step processingControlling I/OUsing SAS viewsReducing the length of numeric variablesCompressing SAS data sets
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Accessing ObservationsEnroll NowCreating a sample data setCreating an indexUsing an index
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Using DATA Step ArraysEnroll NowIntroduction to lookup techniquesUsing one-dimensional arraysUsing multidimensional arraysLoading a multidimensional array from a SAS data set
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Using DATA Step Hash and Hiter ObjectsEnroll NowIntroductionUsing hash object methodsLoading a hash object with data from a SAS data setUsing the DATA step hiter object
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Combining Data HorizontallyEnroll NowDATA step merges and SQL procedure joinsUsing an index to combine dataCombining summary and detail dataCombining data conditionally
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Expert Programmer TechniquesEnroll NowCreating user-defined functionsThe experts’ FORMAT procedure
FAQS
Is this a module or a complete course?
This is a complete SAS certification course. Technically this is a certification course for Analytics on SAS for which we cover three modules- SAS Base Certification, SAS Analytics Certification, SAS Advance Certification
Is this a distance or online program?
This SAS certification course is an online program, available in 2 modes – Instructor-Led and self-paced. The SAS certification course is also available with classroom training in Gurgaon.
What is the difference between instructor led and self paced program?
In the self-paced programme, learners have to learn about the SAS global certification course on their own using the study materials provided to them after registration. There would be recorded videos which will be throughout this programme.
In the Instructor-led version, learners will be provided assistance by faculty who will take them through the complete course as a part of classroom/ live webinar mode.
In case if I missed a class?
Every class is recorded, and in case you miss a class you can go through the recordings and let us know if you have any doubts. You can even sit in other regular SAS certification classes at Delhi Gurgaon or Noida, for the sessions that you missed.
Is there any option of face-to-face classes?
Yes, this is a classroom programme. In case you are not able to make up for the class you can use the webex link to connect online and attend the same LIVE class without even coming to the SAS certification class.
What is the duration of Analytics program?
It is a weekend programme comprising of 130 Hours. It would take 12 weeks or 3 months to cover the SAS training course in full.
Just by spending 30 minutes a day you can become a successful SAS certified Analyst.
What is the speciality of this course?
Our Analytics on SAS certification course is aligned to current industry requirements, uses latest tools and techniques and the curriculum of the course has been developed in consultation with industry practitioners.
Which certification will I be eligible for?
You would be eligible for SAS certification exam conducted by SAS with global recognition.
We will conduct exam preparation classes in Delhi, Noida and Gurgaon for the same, and this is included as a part of this course
Does the fees also includes the SAS certification fees
The SAS certification training and preparation classes are the salient aspects of this course which is not offered anywhere but PST . We make sure that the concepts are well tutored for you to be successful in global exam.
How is this SAS certification different from the certificates provided by other institute
SAS certification is conducted by SAS and recognized globally. Upon successful completion your name appears on the website and anyone can check that. The certificates provided by local institutes ae not recognized by any organization and hence not valid anywhere
Do I have to pay the re-exam fee, if I’m unable to pass in first attempt?
We guarantee this would not be the case. Untill now there has been no case like this. But if that happens we will refund the full fees. You could be a lucky one and stand a chance for the same. You have to be amongst odd to become one of this kind.
What about the projects
The projects which are four in number are industrial projects with real time data and not the mocked one. These are not a capstone project where you actually do not get a pretty idea how things work in industry. It will be hands on and live