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SAS training in Kolkata - Top institutes with Course Fees

List of 18+ SAS training institutes located near to you in Kolkata on May 24, 2020. Get access to training curriculum, course fees, contact phone numbers and students reviews.


Sector 5, Kolkata


Best SAS training in Kolkata
The Interface ERP Academy at Sector 5 - class room	 photo_18856 The Interface ERP Academy at Sector 5 - class room	 photo_18855 
Address: CD 220, First Floor, Salt Lake City Sector 1 Kolkata-700064

The Interface ERP Academy is an initiative of The Interface Pvt. Ltd. It is premium training service delivers knowledge to corporate, end user as well as entry level audiences. The Interface ERP Academy classes are SAS, SAS Business Analytics, Advanced Statistics, Base SAS course fees.
Jodhpur Park, Kolkata


training institute
Palium at Jodhpur Park - students speak	 photo_3470 Palium at Jodhpur Park - live discussions	 photo_3469 
Address: 35, Dhakuria Station Road, Jodhpur Park, Kolkata-700031

Palium Skills is a training organization that offers coaching in different technologies to individuals and corporates. Our trainers are drawn from the IT Industry and have vast experience. Palium classes are SAS, SPSS, Base SAS, SAS Business Analytics course fees.
Bidhan Nagar, Kolkata
No Reviews. Write a Review


training institute
IIHT ULTADNAGA at Bidhan Nagar - class room	 photo_18976 IIHT ULTADNAGA at Bidhan Nagar - class room	 photo_18975 
Address: P-156 VIP Road, 2nd Floor, (Above VIP Sweets) Hudco More Bidhan Nagar Kolkata-700054

IIHT ULTADNAGA classes are SAS, SPSS, R Programming, SAS Business Intelligence course fees.
Sector 1, Kolkata
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training institute

ZETA TECH INFO SOLUTION PVT LTD classes are SAS, R Programming, Base SAS, SAS Business Intelligence course fees.
Camac Street, Kolkata
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training institute

Ivy Professional School classes are SAS, SAS Certification, SPSS, Advanced Statistics course fees.
Ultadanga Main Road, Kolkata
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training institute
Address: No 4 Varadharajan street Off Muthurangan salai, T Nagar Chennai-620017

World On India classes are SAS, SPSS, SAS Certification, Advanced Statistics course fees.
Salt Lake City, Kolkata


training institute
Address: BG-5, SECTOR-II SALTLAKE, KOLKATA Salt Lake City -700091

Hands-on System, SAS Accredited Training classes are SAS, R Programming, SPSS course fees.
Sector 1, Kolkata


training institute
Address: C-4, 2nd Floor, Main Market, Malviya Nagar, Delhi-110017

sap champion institute classes are SAS, SAS On Demand, SAS Business Analytics, SPSS course fees.
Salt Lake City, Kolkata


training institute
Address: 2nd Floor, AMP Vaisakhii Mall Salt Lake, Sector 2 Salt Lake City Kolkata-700091

Business Skills classes are SAS, Advanced Statistics, SAS Certification, SPSS course fees.
Baguiati, Kolkata
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training institute

Anima Foundation classes are SAS, R Programming, SAS On Demand, SAS Business Intelligence course fees.
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SAS training institutes in kolkata - List by Location









Course content & topics of SAS Training in kolkata

SAS course content and key topics covered in kolkata may vary from one training institute to another training provider . However our SAS course training experts kolkata has identifed the list of topics which helps job oriented course training and most of the course content are focused on SAS placement training course training. The SAS course syllabus covers basic to advanced level course contents which is used by most of SAS training classes in kolkata.


1.Introduction To SAS System & Architecture
2.History And Various Modules
4.Variables & SAS Syntax Rules
5.SAS Data Sets
6.Data Set Options
8.Reading Raw Data
9.Infile Statement With Options
10.Working With External Files & Options
11.Multiple Observations
12.Input Styles
13.Select Statement
14.Leave and Continue Statements
15.Creating & Redefining Variables
16.Where Statement
17.If – Then Else Statement
18.Goto, Stop And Error Statements
19.Output Statement, Put Statement
20.Do Loops
21.Modifying And Combining Data Sets
22.Updating Master Data Set
23.Display Manager Commands
24.SAS Functions
25.An Introduction To Arrays And Array Processing
26.Overview Of Methods For Combining Sas Data Sets

1.Proc sort
2.Proc Print
3.Proc Means
4.Proc Freq
5.Proc Plot
6.Proc Chart
7.Proc Copy
8.Proc Summary
9.Proc Append
10.Proc Datasets
11.Proc Contents
12.Proc Delete
13.Proc Format
14.Proc Import
15.Proc Export

III.Advanced SAS
1.Introduction To SAS/ SQL
5.Data Types, Key Words, & Operators
6.Functions, Predicates
7.Formatting Output
8.Group By Clause
9.Order By Clause
10.Having Clause
11.Case Expression And Conditional Logic.
12.Creating ,Populating & Deleting Tables
13.Alter Table Statement
14.Changing Column’s Length
17.Renaming A Table & Columns

1.Macro Concepts
2.Macros And Macro Variables
3.Creating Macro Variables
4.Using Macro Variables
5.Creating Modular Code With Macros
6.Invoking A Macro
7.Adding Parameters To Macros
8.Macros With Conditional Logic
9.Using Various Procedures In Macros
10.Automatic Variables

C.Macro Functions
1.Including External Macros

1.Creating RTF File
2.Creating Html File
3.Creating Pdf File

1.Chart Procedure
2.Vertical, Horizontal, Pie
3.Group, Subgroups
4.Plot Procedure
5.Multiple Plots & Overlay
6.Symbol Statement
7.Title And Footnote Statements

1.Frequency Report
2.One-Way Frequency Report
3.Cross Tabular Frequency Report
4.Summary Statistics
5.Creating A List Report
6.Define Statement
7.Order Usage and Group
8.Printing Grand Totals
9.Rbreak Statement
10.Tabulate Procedure
11.One-Dimensional Tables
12.Two-Dimensional Tables
13.Obtaining A Total
14.Analysis Variables with options
15.Summary Statistics

1.Proc Univariate
2.Proc Corr
3.Proc Reg
4.Proc Anova

IV.Clinical SAS
A.Introduction to drug discovery and development process
1.Overview of highly regulated drug development process, from discovery to bringing a biopharmaceutical product to market.
2.Understanding major phases (Phase I – IV) of clinical trials and clinical data management
3.Food and Drug Administration (FDA) regulations and Guidance (21 CFR part 11, GCP, eCTD)
4.Regulatory overview and approval process including IND/NDA to FDA
5.Types and parameters of Clinical trial
6.Getting in depth knowledge about the functional group and working of CRO/Pharmaceutical industry and knowing in and out of guidelines pertaining to company involved in clinical trials
7.Learning about the general department structure of pharmaceutical industry, roles and responsibilities of SAS programmer in the company
8.Understanding clinical study and documents {e.g. Protocols, Case Report Form (CRF), annotated and electronic Case Report Form (aCRF and eCRF), Statistical Analysis Plan (SAP)}
9.Learning more about types of analysis in clinical trials (Pharmacokinetic, Pharmacodynamics, Efficacy, Safety, etc.)

B.Introduction to Clinical Trial Data
1.Learn to prepare and clean clinical trial data
2.Know how to categorize and summarize clinical data
3.Studying and classifying different types of clinical trial data {Safety (ISS) and Efficacy (ISE) Data}
4.Getting acquainted with new Clinical Data Interchange Standards Consortium (CDISC)
5.Implementation in categorizing clinical data.

C.Using SAS to Create Analysis Data sets
1.Key concepts for creating and transforming analysis data sets (Using DATA steps and PROC TRANSPOSE)
2.Comparing Data sets using PROC COMPARE
3.Understanding and creating Time-to-Event, Change-from-Baseline, Critical variables data sets.

D.Generate Customized Clinical Trials Tables, Listings and Graphs/Figures
1.Using PROC TABULATE to create clinical trial tables
2.Using PROC REPORT to report clinical trials tables and listing
3.Creating summaries of Adverse Event, Concomitant medication, Laboratory data using DATA steps and various SAS Procedures
4.Creating Kaplan-Meier Survival Tables using PROC LIFETEST or PROC GPLOT
5.Using ODS with PROC REPORT and PROC TABULATE to generate nice looking tables and Listings.
6.Generating Graphs and Plots using SAS/BASE, SAS STAT and SAS/GRAPH
7.Producing Bar and Pie charts using PROC GPLOT and PROC GCHART
8.Creating Box and Scatter Plot using PROC BOXPLOT, PROC GPLOT and PROC UNIVARIATE

E.Performing Common Analyses and Obtaining Statistics
1.Obtaining Descriptive Statistics
2.Obtaining Inferential Statistics from Categorical Data
4.Obtaining Inferential Statistics from Continuous Data



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