Techdata Solution. SAS Analytics (Clinical/Finance/Banking)

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1 Techdata Solution Training - Staffing - Consulting Mumbai & Pune SAS Analytics (Clinical/Finance/Banking)

2 What is SAS SAS (pronounced "sass", originally Statistical Analysis System) is an integrated system of software products, Techdata Solution is a one of the best SAS Training institute across the country for online/corporate trainings, we provide clinical SAS Training, Financial SAS Training etc. SAS stands for Statistical Analysis System, It got initiated in North Carolina State University for analyzing the agriculture research. With the success of the system, it then got officially launched in 1976 for the use in big pharmaceutical companies, banks and government bodies. These days, it is considered to be the best system for data management and statistical analysis. It can run on almost all the platforms, whether it is Windows or UNIX. SAS training gives birth to a vital need of educating and training the entire workforce to endure through this world of competition Eligibility & Duration Eligibility: Graduate/PG Degree (BE,ME,MCA,M.Sc,M.S),Pharmacy, Medical Laboratory, Nursing, Biochemistry Microbiology, Biotechnology, MD, MBBS, BHMS, BAMS, MBA, M.Pharm,B.pharm etc. DURATION: 30Hrs

3 Training Modes Trainers at Techdata Solution are experts in providing training in the following modes: Class Room Training Corporate Training Online Training One-to-One Training Why TechdatA Solution Industry savvy trainer with real time experience with the technology Job oriented course design Limited Students per Batch, to enable more attention to every trainee Course Material Hard & Soft Copies with premium material Interactive learning at learners convenience Customized Curriculum Guidance for Global Certification Resume prepation Discussion on real time interview question Placement assistance Certificate would be awarded at the end of the program by SAS- Techdata Solution

4 Course Syllabus Base - SAS Working with Windows Basics of SAS Language Enhance Editor Result Window Log Window Explorer Window Output Window Program Editor Window Accessing Data SAS Libraries Data Sets Creating a SAS Program Components Characteristics Layout of SAS Program Use FORMATTED, LIST and COLUMN input to read raw data files Use INFILE statement options to control processing when reading raw data files Use various components of an INPUT statement to process raw data files including column and line pointer controls, and controls Combine SAS data sets using the DATA Creating SAS Datasets Create temporary and permanent SAS data Create and manipulate SAS date values Control which observations and variables in a SAS data set are processed and output

5 Creating SAS Datasets Program Data Vector (PDV) Execution Phase and Compilation Phase Get Started with Output Delivery System (ODS) Statement Options Combining SAS Datasets Global Statements Local Statements List Input Modified Input Column Output Named Input Concatenation One-One Merging Match Merging One-One Reading Updating/Setting Merging Data Exploring SAS data libraries using base SAS utility procedures Sorting observations in a SAS data set Conditionally execute SAS statements Use assignment statements in the DATA step Modify variable attributes using options and statements in the DATA step Use SAS functions to manipulate character data, numeric data, and SAS date values Use SAS functions to convert character data to numeric and vice versa

6 Conditional Statements IF & IF THEN statement IF ELSE statement Where condition Like, Into Statements Loops (Do, While) Generating Reports Writing Data to External Files File Statement Put Statement Where condition Generate list reports using the PRINT and REPORT procedures Enhance reports through the use of labels, SAS formats, user-defined formats Generate summary reports and frequency tables using base SAS procedures Debugging and Handling Errors Identify and resolve programming logic errors Checking for Errors, Warnings, Un-Initialization, missing values Recognize and correct syntax errors Examine and resolve data errors Procedures Proc Sort Proc Transpose Proc Print, Proc Printto Proc Contents Proc Formats Proc Append, Proc Tabulate Proc Options, Proc Report Proc Import, Proc Export Proc Freq Proc Means

7 Accessing Data Use FORMATTED and LIST input to read raw data files Use INFILE statement options to control processing when reading raw data files. Input Styles Combine SAS data sets Access an Excel workbook Creating Data Structures Create temporary and permanent SAS data sets. Create and manipulate SAS date values Export data to create standard and comma-delimited raw data files. Managing Data Investigate SAS data libraries using base SAS utility procedures Sort observations in a SAS data set Conditionally execute SAS statements Use assignment statements in the DATA step Modify variable attributes using options and statements in the DATA step Accumulate sub-totals and totals using DATA step statements Use SAS functions to manipulate character data, numeric data, and SAS date values Use SAS functions to convert character data to numeric and vice versa Process data using DO LOOPS Process data using SAS arrays Validate and clean data Generating Reports Generate list reports using the PRINT procedure

8 Generate summary reports and frequency tables using base SAS procedures Enhance reports through the use of user-defined formats, titles, footnotes and SAS System reporting Generate reports using ODS statements Handling Errors Identify and resolve programming logic errors Recognize and correct syntax errors Examine and resolve data errors Advanced - SAS Introduction to SAS System & Architecture History and Various Modules Variables & SAS Syntax Rules Data Set Options If Then Else Statement Creating &Redefining Variables Infile Statement With Options Input Styles Select Statement Output Statement & Put Statement Array Statement Updating Master Data Set Display Manager Commands Features SAS Data Sets Operators Where Statement Reading Raw Data Multiple Observations and Multiple Datasets SAS Functions Do Loops & Leave and Continue Statements Stop And Error Statements Modifying And Combining Data Sets Key Board Macros & Add Abbreviations

9 Proc Sort Proc Print Proc Means ProcFreq Proc Plot SAS Procedures Proc Chart Proc Compare Proc Copy Proc Summary Proc Append SAS Reports Proc Datasets Proc Contents Proc Delete Proc Format ProcPrintto Frequency Report One-Way Frequency Report Cross Tabular Frequency Report Summary Statistics Creating A List Report Define Statement Order Usage and Group SAS - ODS Creating Rtf File Creating Html File Creating Pdf File Creating Xml File SAS 's SQL Features, Uses & Terminology Data Types, Key Words, & Operators Functions, Predicate s & Functions Formatting Output Printing Grand Totals Rbreak Statement Tabulate Procedure One-Dimensional Tables Two-Dimensional Tables Obtaining A Total Analysis Variables with options & Summary Statistics Oracle's SQL Concepts History Features SQL Command Set - DDLs & DMLs

10 Group By Clause, Order By Clause & Having Clause Case Expression and Conditional Logic. Creating, Populating & Deleting Tables Alter Table Statement Renaming A Table & Columns Changing Column s Length Joins & Views SAS - ACCESS Import & Export Procedures Importing data from MS - Access & MS Excel Importing data from Oracle database & DbLoad Procedure SAS - GRAPH Vertical, Horizontal, Pie Group,Subgroups Mutliple Plots & Overlay Title and Footnote Statements SAS - MACROS Donut Gplot Procedure Symbol Statement Goptions Macro Concepts Creating Macro Variables Creating Modular Code With Macros Adding Parameter s To Macros Using Various Procedure s In Macros Macro Functions Macros And Macro Variables Using Macro Variables Invoking A Macro Macros With Condition al Logic Automatic Variables Including External Macros

11 SAS - STAT SAS - STAT provides extensive statistical capabilities with tools for both specialized and enterprise-wide analytical needs. SAS - STAT includes techniques for scoring and multiple testing. PROC Univariate PROC Anova PROC Freq PROC Score PROC Regression PROC Corr PROC Boxplot PROC Rank SAS - ETS Investment Analysis Types of Loans: Fixed Rate Loans, Balloon Rate Loans, ARM Loans Time series Analysis Forecasting Analysis Value Added SAS Tests Projects (Mini & Major ) CV Preparation Certification Preparation Material

12 Contact Us Mumbai Office: Office No G11, Ground Floor, Kohinoor City Mall, Off LBS Road, Kamani, Kurla(W), Mumbai ID: Pune Office: Office No 8, 1st Floor, Graficon Arcade (Travels Buildig), Opp: Jahangir Hospital, Bund Garden Road, Near Pune Railway Station Pune ID:

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