Data Science with SAS Training in Bangalore

Data Science with SAS Training in Marathahalli & Data Science with SAS Training Institutes in Bangalore

Data Science with SAS Training Syllabus in Bangalore

Getting Started Using SAS

• Business Analytics, Data, Information

• Understanding Business Analytics and R

• Compare R with other software in analytics

• Install R and RStudio

• SAS Data Sets

• The Two Parts of a SAS Program

• The DATA Step’s Built-in Loop

• Choosing a Mode for Submitting SAS Programs

• Windows and Commands in the SAS Windowing Environment

• Submitting a Program in the SAS Windowing Environment

• Reading the SAS Log

• Viewing Your Results in the Output Window

• Creating HTML Output

• SAS Data Libraries

• Viewing Data Sets with SAS Explorer

• Using SAS System Options

• Methods for Getting Your Data into SAS

• Entering Data with the Viewtable Window

• Reading Files with the Import Wizard

• Telling SAS Where to Find Your Raw Data

• Reading Raw Data Separated by Spaces

• Reading Raw Data Arranged in Columns

• Reading Raw Data Not in Standard Format

• Selected Informats

• Mixing Input Styles

• Reading Messy Raw Data

• Reading Multiple Lines of Raw Data per Observation

• Reading Multiple Observations per Line of Raw Data

• Reading Part of a Raw Data File

• Controlling Input with Options in the INFILE Statement

• Reading Delimited Files with the DATA Step

• Reading Delimited Files with the IMPORT Procedure

• Reading PC Files with the IMPORT Procedure

• Reading PC Files with DDE

• Temporary versus Permanent SAS Data Sets

• Using Permanent SAS Data Sets with LIBNAME Statements

• Using Permanent SAS Data Sets by Direct Referencing

• Listing the Contents of a SAS Data Set

• Creating and Redefining Variables

• Using SAS Functions

• Selected SAS Functions

• Using IF-THEN Statements

• Grouping Observations with IF-THEN/ELSE Statements

• Subsetting Your Data

• Working with SAS Dates

• Selected Date Informats, Functions, and Formats

• Using the RETAIN and Sum Statements

• Simplifying Programs with Arrays

• Using Shortcuts for Lists of Variable Names

• Using SAS Procedures

• Subsetting in Procedures with the WHERE Statement

• Sorting Your Data with PROC SORT

• Printing Your Data with PROC PRINT

• Changing the Appearance of Printed Values with Formats

• Selected Standard Formats

• Creating Your Own Formats Using PROC FORMAT

• Writing Simple Custom Reports

• Summarizing Your Data Using PROC MEANS

• Writing Summary Statistics to a SAS Data Set

• Counting Your Data with PROC FREQ

• Producing Tabular Reports with PROC TABULATE

• Adding Statistics to PROC TABULATE Output

• Enhancing the Appearance of PROC TABULATE Output

• Changing Headers in PROC TABULATE Output

• Specifying Multiple Formats for Data Cells in PROC TABULATE Output

• Producing Simple Output with PROC REPORT

• Using DEFINE Statements in PROC REPORT

• Creating Summary Reports with PROC REPORT

• Adding Summary Breaks to PROC REPORT Output

• Adding Statistics to PROC REPORT Output

• Concepts of the Output Delivery System

• Tracing and Selecting Procedure Output

• Creating SAS Data Sets from Procedure Output

• Using ODS Statements to Create HTML Output

• Using ODS Statements to Create RTF Output

• Using ODS Statements to Create PRINTER Output

• Customizing Titles and Footnotes

• Customizing PROC PRINT Output with the STYLE= Option

• Customizing PROC REPORT Output with the STYLE= Option

• Customizing PROC TABULATE Output with the STYLE= Option

• Adding Traffic-Lighting to Your Output

• Selected Style Attributes

• Modifying a Data Set Using the SET Statement

• Stacking Data Sets Using the SET Statement

• Interleaving Data Sets Using the SET Statement

• Combining Data Sets Using a One-to- One Match Merge

• Combining Data Sets Using a One-to- Many Match Merge

• Merging Summary Statistics with the Original Data

• Combining a Grand Total with the Original Data

• Updating a Master Data Set with Transactions

• Using SAS Data Set Options

• Tracking and Selecting Observations with the IN= Option

• Writing Multiple Data Sets Using the OUTPUT Statement

• Making Several Observations from One Using the OUTPUT Statement

• Changing Observations to Variables Using PROC TRANSPOSE

• Using SAS Automatic Variables

• Macro Concepts

• Substituting Text with Macro Variables

• Creating Modular Code with Macros

• Adding Parameters to Macros

• Writing Macros with Conditional Logic

• Writing Data-Driven Programs with CALL SYMPUT

• Debugging Macro Errors

• Examining the Distribution of Data with PROC UNIVARIATE

• Producing Statistics with PROC MEANS

• Testing Categorical Data with PROC FREQ

• Examining Correlations with PROC CORR

• Using PROC REG for Simple Regression Analysis

• Reading the Output of PROC REG

• Using PROC ANOVA for One-Way Analysis of Variance

• Reading the Output of PROC ANOVA

• Graphical Interfaces for Statistical Analysis

• Methods for Exporting Your Data