Course Duration
185 hrs
Mode Of Training
Live Web
100% Placement Assistance
SAS Certified Trainer
Course hours 185 hrs
Training Mode Live Web
100% Job Assistance
SAS Certified Trainer
Earn Digital Badges
Tutorials
Digital Badge
Classes
Certification
Tutorials
SAS stands for Statistical Analysis System developed by SAS Institute. SAS is the market leader for data analysis, data management, data mining, report writing, business intelligence, data warehousing, application development, etc. SAS (Statistical Analysis System) is used in many industry solutions such as agriculture analytics, banking, insurance, education, healthcare (SAS Clinical Programming), life sciences, manufacturing, small and medium businesses, telecommunications, me ...
SAS (Statistical Analysis System) is used for data analysis and reporting in clinical trials organizations, pharmaceutical, biotech, and CRO (Clinical Research Organizations). SAS is the leader in today's analytics world. SAS is the industry standard for future advanced analytics in Clinical Research Analytics, helping Clinical SAS Programmers increase operational value and reduce risk.
SAS Clinical Trials programming is used to create and collect data sets for clinical research trials. SAS (Statistical Analysis System) provides a secure analysis foundation and scalable framework for clinical analysis and submission.
SAS provides a secure analysis foundation and scalable framework for clinical analysis and submission to pharmaceutical, healthcare, life science, and clinical research organizations.
SAS (Statistical Analysis System) is used in advanced analytics, business intelligence, data management, and predictive analytics, clinical trials management, clinical data management, clinical data analysis and reporting, drug safety data management, clinical supply, etc.
From a business perspective, SAS (Statistical Analysis System) can help healthcare organization professionals meet their business goals, control costs, achieve more revenue, and enhance strategic performance management.
If you are planning to learn SAS Certification Join the Best Clinical SAS Training Institute in Ahmedabad with Placement. If you are interested in pursuing a Clinical SAS Course in Ahmedabad then Aspire Techsoft Academy - SAS Authorized Training Partner in India is the right place to learn Clinical SAS Training in Ahmedabad.
If you needed Training on Clinical Trials like SDTM and ADAM CDIC. These are the most used tools in the CRO industry. India is the third-largest producer of pharmaceuticals in the world by volume.
So, After Bpharm or Mpharm - If you want to pursue a career in Clinical SAS then go ahead with Clinical Trials Which include SAS Base, Advance SAS, SAS Report, SAS Macros, and Statistics1. The combination of coursework and hands-on learning at Aspire Techsoft Academy the best Clinical SAS Training Institute in Ahmedabad helps you build a foundation of clinical research theory and data analysis skills - which can open doors to new opportunities.
To earn the Clinical Trials Programmer Professional Certification, you must first be a Certified SAS Base Programming Specialist or Advanced Programming Professional.
This Clinical SAS Training in Ahmedabad at Aspire Techsoft Academy helps you prepare for the following SAS Certified Professional: Clinical Trials Programming Using SAS 9.4. Aspire Techsoft Academy is the SAS Accredited Training Partner in India that offers Clinical SAS Certification Course in Ahmedabad. We provide quality training by globally accredited SAS Trainers.
Our SAS Clinical Trials Programming Online Course in Ahmedabad comprises SAS certification cost with Exam along with the best Clinical SAS Online Training.
SAS Accredited Training centers are part of the SAS Learning Partner community. Educational Program provides a standardized, supervised and systematic approach to learning.
Clinical SAS Certification Training in Ahmedabad with placement is offered by SAS Accredited Training Partner Aspire Techsoft Academy. At the same time, thousands of non-institutes are offering SAS Training, where proper facility, as well as quality, cannot be guaranteed. If you are specifically looking for a Clinical SAS Certification in Ahmedabad, no one but SAS can issue a global certificate.
Whatever the type of educational institution, it largely depends on the core strength and knowledge of the instructor.
Aspire Techsoft Academy is the top SAS Accredited Training center in India provide quality learning experiences to students and professionals. Our comprehensive SAS training courses help you enhance your skills, prepare for certification exams and achieve your career goals.
Clinical SAS involves programming using SAS software that is used to process all types of data related to clinical research. This includes data cleaning, data mining, and data analytics. Clinical research includes activities ranging from a clinical trial, clinical trial management, monitoring, reporting, Pharmacovigilance, and data management.
Clinical Trials Process Reports
Clinical Research Projects
Health Insurance Companies Data (Claims Data)
Electronic health records of patients
Tracking of Patients Statistics
Primary Data Sources - Patient Prescription History
FDA Research Data
Administrative Data
Health Surveys
Patient / Disease Registries
Patient Testimonials Data
Biotech, Life Science Company - Sales Data
Social Media & Website Records - Patient self-data according to their search health-related data
Clinical Trials modernization
Clinical trial operational analytics
Artificial Intelligence & Machine Learning
Clinical Data Transparency
Demonstrate knowledge of the clinical trials process and data structures.
Access, manage and transform clinical trials data.
Apply statistical procedures to analyze clinical trials data
Utilize macro programming for clinical trials data.
Report clinical trials results.
Validate clinical trials data reporting.
1. Writing SAS programs
2. Manipulating and summarizing data using SAS procedures.
3. Creating SAS programs that are reusable and dynamic using macros.
4. Processing SAS data using Structured Query Language (SQL).
5. Report writing essentials.
6. Creating high-quality presentation graphics.
7. Introduction to clinical trials and CRO industry
8. Hands-on training on study documents
9. Hands-on training on CDISC standards.
10. Deep dive into ADaM.
11. SDTM programming
12. ADaM programming.
13. Hands-on training in creating clinical trial reports.
14. Hands-on training creating clinical trial graphs
15. Hands-on training on Define.xml and Reviewer’s Guide.
16. Introduction to ANOVA, Regression, and Logistic Regression (free e-learning course).
17. Evaluation through assessments.
Programming Concepts for Base SAS, Proc SQL, and Macros
Clinical Trials Processes and Working Environment
Clinical Trial Data Management using Base SAS
Preparing and Classifying Clinical Trial Data
Implementing CDISC SDTM and ADaM Guidelines
Clinical Data Analysis using SAS REPORT and SAS GRAPH Procedures
Data Visualization Using SAS ODS Graphics
Performing Data Validation and Data Review
SAS stands for Statistical Analysis System developed by SAS Institute. SAS is the market leader for data analysis, data management, data mining, report writing, business intelligence, data warehousing, application development, etc. SAS (Statistical Analysis System) is used in many industry solutions such as agriculture analytics, banking, insurance, education, healthcare (SAS Clinical Programming), life sciences, manufacturing, small and medium businesses, telecommunications, me ...
SAS (Statistical Analysis System) is used for data analysis and reporting in clinical trials organizations, pharmaceutical, biotech, and CRO (Clinical Research Organizations). SAS is the leader in today's analytics world. SAS is the industry standard for future advanced analytics in Clinical Research Analytics, helping Clinical SAS Programmers increase operational value and reduce risk.
SAS Clinical Trials programming is used to create and collect data sets for clinical research trials. SAS (Statistical Analysis System) provides a secure analysis foundation and scalable framework for clinical analysis and submission.
SAS provides a secure analysis foundation and scalable framework for clinical analysis and submission to pharmaceutical, healthcare, life science, and clinical research organizations.
SAS (Statistical Analysis System) is used in advanced analytics, business intelligence, data management, and predictive analytics, clinical trials management, clinical data management, clinical data analysis and reporting, drug safety data management, clinical supply, etc.
From a business perspective, SAS (Statistical Analysis System) can help healthcare organization professionals meet their business goals, control costs, achieve more revenue, and enhance strategic performance management.
If you are planning to learn SAS Certification Join the Best Clinical SAS Training Institute in Ahmedabad with Placement. If you are interested in pursuing a Clinical SAS Course in Ahmedabad then Aspire Techsoft Academy - SAS Authorized Training Partner in India is the right place to learn Clinical SAS Training in Ahmedabad.
If you needed Training on Clinical Trials like SDTM and ADAM CDIC. These are the most used tools in the CRO industry. India is the third-largest producer of pharmaceuticals in the world by volume.
So, After Bpharm or Mpharm - If you want to pursue a career in Clinical SAS then go ahead with Clinical Trials Which include SAS Base, Advance SAS, SAS Report, SAS Macros, and Statistics1. The combination of coursework and hands-on learning at Aspire Techsoft Academy the best Clinical SAS Training Institute in Ahmedabad helps you build a foundation of clinical research theory and data analysis skills - which can open doors to new opportunities.
To earn the Clinical Trials Programmer Professional Certification, you must first be a Certified SAS Base Programming Specialist or Advanced Programming Professional.
This Clinical SAS Training in Ahmedabad at Aspire Techsoft Academy helps you prepare for the following SAS Certified Professional: Clinical Trials Programming Using SAS 9.4. Aspire Techsoft Academy is the SAS Accredited Training Partner in India that offers Clinical SAS Certification Course in Ahmedabad. We provide quality training by globally accredited SAS Trainers.
Our SAS Clinical Trials Programming Online Course in Ahmedabad comprises SAS certification cost with Exam along with the best Clinical SAS Online Training.
SAS Accredited Training centers are part of the SAS Learning Partner community. Educational Program provides a standardized, supervised and systematic approach to learning.
Clinical SAS Certification Training in Ahmedabad with placement is offered by SAS Accredited Training Partner Aspire Techsoft Academy. At the same time, thousands of non-institutes are offering SAS Training, where proper facility, as well as quality, cannot be guaranteed. If you are specifically looking for a Clinical SAS Certification in Ahmedabad, no one but SAS can issue a global certificate.
Whatever the type of educational institution, it largely depends on the core strength and knowledge of the instructor.
Aspire Techsoft Academy is the top SAS Accredited Training center in India provide quality learning experiences to students and professionals. Our comprehensive SAS training courses help you enhance your skills, prepare for certification exams and achieve your career goals.
Clinical SAS involves programming using SAS software that is used to process all types of data related to clinical research. This includes data cleaning, data mining, and data analytics. Clinical research includes activities ranging from a clinical trial, clinical trial management, monitoring, reporting, Pharmacovigilance, and data management.
Clinical Trials Process Reports
Clinical Research Projects
Health Insurance Companies Data (Claims Data)
Electronic health records of patients
Tracking of Patients Statistics
Primary Data Sources - Patient Prescription History
FDA Research Data
Administrative Data
Health Surveys
Patient / Disease Registries
Patient Testimonials Data
Biotech, Life Science Company - Sales Data
Social Media & Website Records - Patient self-data according to their search health-related data
Clinical Trials modernization
Clinical trial operational analytics
Artificial Intelligence & Machine Learning
Clinical Data Transparency
Demonstrate knowledge of the clinical trials process and data structures.
Access, manage and transform clinical trials data.
Apply statistical procedures to analyze clinical trials data
Utilize macro programming for clinical trials data.
Report clinical trials results.
Validate clinical trials data reporting.
1. Writing SAS programs
2. Manipulating and summarizing data using SAS procedures.
3. Creating SAS programs that are reusable and dynamic using macros.
4. Processing SAS data using Structured Query Language (SQL).
5. Report writing essentials.
6. Creating high-quality presentation graphics.
7. Introduction to clinical trials and CRO industry
8. Hands-on training on study documents
9. Hands-on training on CDISC standards.
10. Deep dive into ADaM.
11. SDTM programming
12. ADaM programming.
13. Hands-on training in creating clinical trial reports.
14. Hands-on training creating clinical trial graphs
15. Hands-on training on Define.xml and Reviewer’s Guide.
16. Introduction to ANOVA, Regression, and Logistic Regression (free e-learning course).
17. Evaluation through assessments.
Programming Concepts for Base SAS, Proc SQL, and Macros
Clinical Trials Processes and Working Environment
Clinical Trial Data Management using Base SAS
Preparing and Classifying Clinical Trial Data
Implementing CDISC SDTM and ADaM Guidelines
Clinical Data Analysis using SAS REPORT and SAS GRAPH Procedures
Data Visualization Using SAS ODS Graphics
Performing Data Validation and Data Review
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SAS Clinical Programming
Fundamentals
Applied Clinical Data
Analysis and Reporting
SAS Certified Clinical Trials
Programming Professional
â–ª Enjoy a classroom experience from your desktop
â–ª SAS training without travel
â–ª Ask questions and get answers in real-time
â–ª SAS instructors, virtually in your home/office or Campus
â–ª Access the latest software via a virtual lab
â–ª Also receive eLearning (video tutorials) for Base SAS
â–ª Receive 20 business days access to a recording of your course
â–ª Practice exam
â–ª An attempt for the SAS Global Certification exam
â–ª Certification preparatory sessions
â–ª Validate your learning and share your achievements with a SAS Digital Badge
â–ª Internet Explorer 9, Mozilla Firefox 34, Google Chrome 39 (JavaScript enabled) or the latest version of each web browser.
â–ª Windows 7, Windows 8 or later.
â–ª Cable modem, DSL, or better Internet connection.
â–ª Internet bandwidth 2 mbps(recommended).
â–ª Dual-core 2.4GHz CPU or faster with 2GB of RAM (recommended).
Before attending a SAS Clinical Trials Programming Course in Ahmedabad, you should have experience using computer software. No previous SAS experience is required to take the Clinical SAS Certification course. However, we recommend that you have relevant experience in a pharmaceutical company or in the life science industry – or have a bachelor's or master's degree in life science, pharmacy - BPharm, MPharm, statistics, medicine, bio or computer programming.
Life Sciences – BSc and MSc in Biotechnology, Chemistry, Microbiology, Forensic Science, Bioinformatics.
Pharmaceutical - B. Pharmacy / M. Pharmacy
Statistics Professionals – BSc, MSc
Medical Degrees - MBBS, BDS, BHMS, BAMS
Engineering Candidates - BE / B. Tech / M.Tech (Biotechnology, Bioinformatics, Biomedical, Computer Science)
BASE SAS PROGRAMMER Certification
Introduction to Clinical Trials Research
CDISC Study Data Tabulation Model (SDTM) Guidelines
Implementing the CDISC SDTM with Base SAS
CDISC Analysis Dataset Model (ADaM) Guidelines
Implementing the CDISC ADaM with Base SAS
SAS SQL 1: Essentials
SAS Macro Language 1: Essentials
Implementing the CDISC SDTM and ADaM with Macro Programming and SQL
SAS Clinical Trials Programming Certification Course: Training Mode
Clinical SAS Certification Course in Ahmedabad at Aspire Techsoft Academy you get to choose what you learn – and how you learn it. Find a format that suits your style.
Instructor-led Clinical SAS Certification Course in Ahmedabad.
Access to SAS software for practice.
SAS training without travel.
Ask questions and get answers in real-time SAS instructors.
Dedicated coach to guide you
Practical study
Project work
SAS instructors virtually in your office
Our Clinical SAS live web Course in Ahmedabad is conducted by globally acclaimed SAS Certified instructors and will not be pre-recorded sessions. SAS instructors encourage you to expand your thinking, discuss, and share with you so that you can master the SAS skills you learn and achieve your goals.
Clinical SAS Live Web Course in Ahmedabad - Participate remotely from your home or office.
Ask questions and share ideas during Clinical SAS Live Web Training hours and on-demand lab hours.
SAS Clinical Trials Programming Classes in Ahmedabad - Join in person with an instructor right next to you.
Private team training – for your team virtually or at our location or schedule for you.
SAS classroom training options include courses offered through our live web classroom.
Taught by SAS certified experts at high-tech facilities across the country:
Clinical SAS Classroom Training in Ahmedabad - Get involved in person with a SAS expert by your side
Focused on learning away from the office
Networking opportunities
State-of-the-art facilities for SAS Clinical Programming Classroom Training in Ahmedabad
Permission to download electronic course notes, study material, and print to your device
In-depth courses on comprehensive business topics
We offer connected Clinical SAS Certification classes in India!
Contact us to learn more about SAS Clinical Trials Programming Certification Course in Ahmedabad!185 hrs. of exhaustive content developed by Industry experts covering SAS Programming, Clinical Trials, CDISC standards, STDM, ADaM programming, and much more.
Our Clinical SAS Certification Official curriculum, mapped to globally recognized credentials
Our Clinical SAS certification Course using a combination of comprehensive course notes, lectures, software demonstrations, hands-on exercises.
Latest SAS official software used for training with SAS proprietary datasets.
Inclusive learning methods encourage trainee’s active participation.
Training executed only by immensely experienced SAS Certified Trainers.
When you earn an internationally recognized credential from SAS, you also earn a Clinical SAS Certification Digital Badge that validates your learning and connects your new skills to jobs.
Base SAS; SAS/ACCESS
SAS/STAT; Base SAS; SAS Analytics Pro; SAS/GRAPH
Training & Digital Badge.
Course material.
Subset data.
1 attempts of Global certification worth $180.
Save more by enrolling for Advance SAS certification Package.
Academic Software
E-Learning
Certification & Badging
Discounts
Career resources
The SAS Certification Course is for users who want to program in SAS as well as how to write and execute it, how to explore and analyze the data in sales etc.
It is the entry point to learning Base SAS programming for Clinical Trials Programming, Data Science, Artificial Intelligence and Machine Learning.
This course is for users who want to who wants to learn data manipulation techniques using the SAS DATA step and procedures to access, transform, and summarize data.
This course is for SAS programmers who prepare data for analysis.
A comparison of manipulation techniques and resource cost benefits is designed to help programmers choose the most appropriate technique for their data situation.
It focuses on the components of the SAS macro facility and how to design, write, and debug macro systems. Emphasis is placed on understanding how programs are processed with and without macro code.
It also covers how to process SAS data using SQL. It is mapped to the SAS Certified Advanced Programmer for SAS 9.4 credentia
This course focuses on writing, designing, and debugging programs on the components of the SAS macro facility, as well as understanding how the macro system processes programs with macro code.
Before taking this course you should have completed base sas programming, that means you are fully aware of SAS Programming 1: Essentials, and Programming 2: Data Manipulation techniques.
SAS Macro Language 1: Essentials this course helps prepare SAS Certified Advanced Programmers for SAS 9 credentials
SAS SQL 1: Essentials course will develop the skills you need to process SAS data using Structured Query Language (SQL).
In this course you will learn how to create tabular reports (PROC TABULATE SUMMARY TABLE REPORT, PROC REPORT DETAILS) using REPORT writing and the TABULATE procedure. You will also learn how to enhance your reports using ODS (Output Delivery System).
In this course you will learn how to generate descriptive statistics, and explore and analyze data with graphs.
In this course you will learn how to perform statistical analysis using SAS/STAT software.
This course focuses on t tests, ANOVA (Analysis of Variance) and linear regression and includes logistic regression. This course is a prerequisite for many courses in the Statistical Analysis curriculum.
Join SAS Clinical Programming course in Ahmedabad, Gujarat from a SAS Authorized Training Institution, you get a credential digital badge, which you can share on your social profile and can easily be verified in real-time by colleagues and/or employers. With this badge, you can assume that you are an expert in SAS because the digital badge is concrete evidence to employers and peers of the skills needed to earn your credential.
Clinical SAS Programming course in Ahmedabad helps you to prepare the following SAS Credentials:
Candidates who earn this credential will have earned a passing score on the Clinical Trials Programming Using SAS 9 exam.
1. SAS Certified Specialist: Base Programming Using SAS 9.4
2. SAS Certified Professional: Clinical Trials Programming Using SAS 9.4
Hold the Base Programming Specialist OR the Advanced Programming Professional.
Take and pass the A00-282 Clinical Trials Programming Using SAS 9.4 exam.
Certification attempt needs to be taken within 3 months of course completion.
Nowadays, the demand for SAS Clinical Trials Programmers is swiftly growing. Clinical Trials and data analysis are completely dependent on SAS (Statistical Analysis System). Pharmaceutical companies, healthcare organizations, and life science organizations invest millions of dollars in clinical data analytics and reporting.
Once you learn Clinical SAS Programming skills and take on new challenges in SAS, your salary will increase by millions. So go for Clinical SAS certification and make a good career in the field of data analytics. So, what are you waiting for? Learn SAS Clinical Programming Course in Ahmedabad from the globally-recognized SAS Certification Course and make your resume stand out from the rest.
SAS has good career scope and job opportunities in the future. SAS Certified Experts are in high demand and continue to grow. According to an analysis by indeed.com, there are many career opportunities available in SAS now and SAS programming skills are increasing.
There are several certification courses available in SAS (Statistical Analysis System). SAS Global Certification Training provider in Ahmedabad, Gujarat offers world-class training. Review your requirements and book your Clinical SAS Certification Course in Ahmedabad.
Create customized SAS code, including macro programming and connecting to clinical data sources.
Understand the current UI interface and SAS modules from a domain point of view.
Create SAS Data Review Listings, based on protocol, EDC Database, and Data Validation Specs.
Create a library of SAS Data Review Listings.
Create Safety Review Listings.
Actively participates in creating reports and listings to support Centralized Monitoring.
Document changes to SAS code, programs, and specifications
Assist in the development of Standard Operating Procedures (SOPs) related to the implementation of data standards
Clinical SAS Programmer Responsible for report-generating procedures like PROC CONTENTS PROC PRINT PROC SORT PROC REPORT PROC FORMAT and PROC TRANSPOSE.
Work under supervision as Clinical Data Programmer SAS gathering clinical and external data reporting and visualization user requirements from CDMs, CSRs, PMs, and other study stakeholders to facilitate data inspection, data reconciliation, and clinical review, and provide guidance on appropriate output formats (dashboards, visualizations, listings, reports).
Educate and train the users of the data visualizations (Graphs/Dashboards) and reports (Tables, Listings) on how to use all the features in the data visualization software platform to inspect and explore the data and make business decisions
Extract, assess, integrate, and transform clinical study data from EDC and other sources during study conduct to provide the data visualization outputs to the study users, i.e. CDMs, CSRs, PMs, and others.
Develop proficiency with Business Intelligence, Clinical Data Visualization tools, and SAS software.
Participate in Clinical Data Visualization team and Biometrics department meetings.
â–ª the SAS programming process
â–ª using SAS programming tools
â–ª understanding SAS syntax
• Accessing Data▪ understanding SAS data
â–ª accessing data through libraries
â–ª importing data into SAS
• Exploring and Validating Data▪ exploring data
â–ª filtering rows
â–ª formatting columns
â–ª sorting data and removing duplicates
• Preparing Data▪ reading and filtering data
â–ª computing new columns
â–ª conditional processing
• Analyzing and Reporting on Data▪ enhancing reports with titles, footnotes, and labels
â–ª creating frequency reports
â–ª creating summary statistics reports
• Exporting Results▪ exporting data
â–ª exporting reports
• Using SQL in SAS▪ using Structured Query Language in SAS
â–ª joining tables using SQL in SAS
• Controlling DATA Step Processing▪ setting up for this course
â–ª understanding DATA step processing
â–ª directing DATA step output
• Summarizing Data▪ creating an accumulating column
â–ª processing data in groups
• Manipulating Data with Functions▪ understanding SAS functions and CALL routines
â–ª using numeric and date functions
â–ª using character functions
â–ª using special functions to convert column type
• Creating Custom Formats▪ creating and using custom formats
â–ª creating custom formats from tables
• Combining Tables▪ concatenating tables
â–ª merging tables
â–ª identifying matching and nonmatching rows
• Processing Repetitive Code▪ using iterative DO loops
â–ª using conditional DO loops
• Restructuring Tables▪ restructuring data with the DATA step
â–ª restructuring data with the TRANSPOSE procedure
• Array Processing in Data Step▪ Introduction to table Lookup Techniques
â–ª One-Dimensional Arrays
â–ª Multidimensional Arrays
â–ª Loading a Multidimensional Array from a SAS Data set
â–ª Environment and Guiding Principles
â–ª Preparing Clinical Trial Data
â–ª Classifying Clinical Trial Data
â–ª Fundamentals of the Study Data Tabulation Model (SDTM)
• The General Observations Class
â–ª Interventions Class
â–ª Events Class
â–ª Findings Class
• Datasets Other than General ObservationModels for Special-Purpose Domains
Trial Design Model (TDM) Datasets
Relationship Datasets
Study Reference Datasets
• Assumptions for Domain Models• Base SAS Programs for SDTM Conversions
• Building SDTM Datasets
â–ª Building the Special-Purpose DM and SUPPDM Domains
â–ª Building the AE Events Domain
â–ª Building the LB Finding Domain
â–ª Fundamentals of ADaM
â–ª Subject-Level Analysis Dataset (ADSL)
â–ª Basic Data Structure (BDS)
â–ª Building the Subject-Level Analysis Dataset (ADSL)
â–ª Building the Adverse Events Analysis Dataset (ADAE)
â–ª overview of SAS Foundation
â–ª course logistics
â–ª course data files
â–ª introducing the Structured Query Language
• Basic Queries▪ overview of the SQL procedure
â–ª specifying columns
â–ª specifying rows
• Displaying Query Results▪ presenting data
â–ª summarizing data
• SQL Joins▪ introduction to SQL joins
â–ª inner joins
â–ª outer joins
â–ª complex SQL joins
• Subqueries▪ noncorrelated subqueries
â–ª in-line views
• Set Operators▪ introduction to set operators
â–ª the UNION operator
â–ª the OUTER UNION operator
â–ª the EXCEPT operator
â–ª the INTERSECT operator
• Creating Tables and Views▪ creating tables with the SQL procedure
â–ª creating views with the SQL procedure
• Advanced PROC SQL Features▪ using SQL procedure options
â–ª interfacing PROC SQL with the macro language
• Learning More▪ SAS resources
â–ª beyond this course
â–ª course logistics
â–ª purpose of the macro facility
â–ª program flow
• Macro Variables▪ introduction to macro variables
â–ª automatic macro variables
â–ª macro variable references
â–ª user-defined macro variables
â–ª delimiting macro variable references
â–ª macro functions
• Macro Definitions▪ defining and calling a macro
â–ª macro parameters
• DATA Step and SQL Interfaces▪ creating macro variables in the DATA step
â–ª indirect references to macro variables
â–ª creating macro variables in SQL
• Macro Programs▪ conditional processing
â–ª parameter validation
â–ª iterative processing
â–ª global and local symbol tables
• Learning More▪ SAS resources
â–ª beyond this course
• Supplemental Materials▪ program flow
â–ª Use CREATE TABLE query to create Study Tabulations and Analysis Datasets
â–ª Use Join and Union clauses to combine multiple tables
• Use Macro Programming to automate tasks▪ Create a macro to derive ISO8601 date string from SAS date or datetime component variables
â–ª Create a macro to derive SDTM study day variable
â–ª Create a macro to calculate change from baseline
â–ª Course logistics
â–ª Introduction to reporting.
â–ª Introduction to ODS.
â–ª ODS with the SAS interfaces.
â–ª Creating reports with the PRINT procedure
• Getting Started with the TABULATE Procedure▪ Introduction to the TABULATE procedure.
â–ª Creating the structure of the table.
â–ª Adding overall summarizations.
â–ª Adding additional statistics.
• Doing More with the TABULATE Procedure▪ Enhancing with labels and formats.
â–ª Enhancing with options.
â–ª Adding trafficlighting.
â–ª Adding additional style attributes.
• Getting Started with the REPORT Procedure▪ Introduction to the REPORT procedure.
â–ª Creating a detail report.
â–ª Creating a summary report with the GROUP usage.
â–ª Creating a summary report with the ACROSS usage.
â–ª Computing an additional column.
• Doing More with the REPORT Procedure▪ Adding summary lines.
â–ª Customizing break lines.
â–ª Adding trafficlighting and style attributes.
â–ª Using the CALL DEFINE statement.
• Doing More with the REPORT Procedure▪ Adding summary lines
â–ª Customizing break lines.
â–ª Adding trafficlighting and style attributes.
â–ª Using the CALL DEFINE statement.
• Using ODS Destinations▪ Introduction to ODS destinations
â–ª PRINTER and RTF destinations
â–ª CSV and HTML destinations.
â–ª Excel and other destinations.
â–ª SAS destinations.
• Doing More with ODS▪ Using ODS options and statements.
â–ª Using ODSESCAPECHAR.
â–ª Controlling bookmarks and the table of contents.
â–ª Using ODS layout
• Introduction to SG Procedures▪ Introduction to ODS Graphics.
â–ª Using the SG procedures.
â–ª Setting up for this course
â–ª Data visualization with SAS programming overview.
â–ª Layers of a graph.
• SGPLOT Procedure▪ Introduction
â–ª Bar charts.
â–ª Dot, line, scatter, and series plots.
â–ª Additional basic plots.
â–ª Distribution plots.
â–ª Fit and confidence plots
• Enhancing Visualization Appearance▪ Style templates, colors, and fonts.
â–ª Group attributes.
â–ª Reference lines and text boxes.
â–ª Axis appearance.
â–ª Legend appearance
â–ª User-defined style templates.
â–ª Additional statements and examples
• Multi-cell Procedures▪ Introduction.
â–ª SGPANEL procedure
â–ª SGSCATTER procedure.
• Additional Procedures▪ SGPIE procedure.
â–ª SGMAP procedure.
• Customizing Visualizations▪ Introduction to SG annotation.
â–ª Drawing space.
â–ª LINE and ARROW functions.
â–ª TEXT and TEXTCONT functions
â–ª SG attribute maps
• More with ODS Graphics▪ ODS GRAPHICS and destination statements.
â–ª ODS layout.
â–ª Statistical procedures.
• Graph Template Language▪ Introduction.
â–ª Graph Template Language syntax
â–ª Dynamic and macro variables.
â–ª Creating Tables
â–ª Creating Listings
â–ª Output Appearance Options
â–ª Common Clinical Trial Graphs
â–ª Exporting Data
â–ª Define.XML for CDISC SDTM
â–ª Define.XML for CDISC ADaM
â–ª Programming Considerations
â–ª Reviewing Programming Log
â–ª Using SAS Programming Procedures for Data Validation
â–ª Generate descriptive statistics and explore data with graphs.
â–ª Perform analysis of variance and apply multiple comparison techniques
â–ª Perform linear regression and assess the assumptions.
â–ª Use regression model selection techniques to aid in the choice of predictor variables in multiple regression.
â–ª Use diagnostic statistics to assess statistical assumptions and identify potential outliers in multiple regression.
â–ª Use chi-square statistics to detect associations among categorical variables.
â–ª Fit a multiple logistic regression model.
â–ª Score new data using developed models.
This course is mapped to TWO credentials as below:
1. SAS Certified Specialist: Base Programming Using SAS 9.4
2. SAS Certified Professional: Clinical Trials Programming Using SAS 9.4
Participants will be awarded SAS certified digital badges for these on clearing respective SAS exams
Besides participants will also be awarded participation certificate & Learn SAS digital badges for –
1. SAS Programming 1: Essentials
2. SAS Programming 2: Data Manipulation Techniques
3. SAS SQL1: Essentials
4. SAS Macro Language 1: Essentials
5. SAS Report Writing
6. Data Visualization Using SAS ODS Graphics
7. SAS Programming for Clinical Trials
8. Data Analysis and Reporting for Clinical Trials
Provide labor market insights that connect your new skills to jobs.
Enable recruiters to view and verify candidates with certain SAS skills.
It will answer what you did? Who says you did it? And why it matters? These questions for you.
â–ª the SAS programming process
â–ª using SAS programming tools
â–ª understanding SAS syntax
• Accessing Data▪ understanding SAS data
â–ª accessing data through libraries
â–ª importing data into SAS
• Exploring and Validating Data▪ exploring data
â–ª filtering rows
â–ª formatting columns
â–ª sorting data and removing duplicates
• Preparing Data▪ reading and filtering data
â–ª computing new columns
â–ª conditional processing
• Analyzing and Reporting on Data▪ enhancing reports with titles, footnotes, and labels
â–ª creating frequency reports
â–ª creating summary statistics reports
• Exporting Results▪ exporting data
â–ª exporting reports
• Using SQL in SAS▪ using Structured Query Language in SAS
â–ª joining tables using SQL in SAS
• Controlling DATA Step Processing▪ setting up for this course
â–ª understanding DATA step processing
â–ª directing DATA step output
• Summarizing Data▪ creating an accumulating column
â–ª processing data in groups
• Manipulating Data with Functions▪ understanding SAS functions and CALL routines
â–ª using numeric and date functions
â–ª using character functions
â–ª using special functions to convert column type
• Creating Custom Formats▪ creating and using custom formats
â–ª creating custom formats from tables
• Combining Tables▪ concatenating tables
â–ª merging tables
â–ª identifying matching and nonmatching rows
• Processing Repetitive Code▪ using iterative DO loops
â–ª using conditional DO loops
• Restructuring Tables▪ restructuring data with the DATA step
â–ª restructuring data with the TRANSPOSE procedure
• Array Processing in Data Step▪ Introduction to table Lookup Techniques
â–ª One-Dimensional Arrays
â–ª Multidimensional Arrays
â–ª Loading a Multidimensional Array from a SAS Data set
â–ª Environment and Guiding Principles
â–ª Preparing Clinical Trial Data
â–ª Classifying Clinical Trial Data
â–ª Fundamentals of the Study Data Tabulation Model (SDTM)
• The General Observations Class
â–ª Interventions Class
â–ª Events Class
â–ª Findings Class
• Datasets Other than General ObservationModels for Special-Purpose Domains
Trial Design Model (TDM) Datasets
Relationship Datasets
Study Reference Datasets
• Assumptions for Domain Models• Base SAS Programs for SDTM Conversions
• Building SDTM Datasets
â–ª Building the Special-Purpose DM and SUPPDM Domains
â–ª Building the AE Events Domain
â–ª Building the LB Finding Domain
â–ª Fundamentals of ADaM
â–ª Subject-Level Analysis Dataset (ADSL)
â–ª Basic Data Structure (BDS)
â–ª Building the Subject-Level Analysis Dataset (ADSL)
â–ª Building the Adverse Events Analysis Dataset (ADAE)
â–ª overview of SAS Foundation
â–ª course logistics
â–ª course data files
â–ª introducing the Structured Query Language
• Basic Queries▪ overview of the SQL procedure
â–ª specifying columns
â–ª specifying rows
• Displaying Query Results▪ presenting data
â–ª summarizing data
• SQL Joins▪ introduction to SQL joins
â–ª inner joins
â–ª outer joins
â–ª complex SQL joins
• Subqueries▪ noncorrelated subqueries
â–ª in-line views
• Set Operators▪ introduction to set operators
â–ª the UNION operator
â–ª the OUTER UNION operator
â–ª the EXCEPT operator
â–ª the INTERSECT operator
• Creating Tables and Views▪ creating tables with the SQL procedure
â–ª creating views with the SQL procedure
• Advanced PROC SQL Features▪ using SQL procedure options
â–ª interfacing PROC SQL with the macro language
• Learning More▪ SAS resources
â–ª beyond this course
â–ª course logistics
â–ª purpose of the macro facility
â–ª program flow
• Macro Variables▪ introduction to macro variables
â–ª automatic macro variables
â–ª macro variable references
â–ª user-defined macro variables
â–ª delimiting macro variable references
â–ª macro functions
• Macro Definitions▪ defining and calling a macro
â–ª macro parameters
• DATA Step and SQL Interfaces▪ creating macro variables in the DATA step
â–ª indirect references to macro variables
â–ª creating macro variables in SQL
• Macro Programs▪ conditional processing
â–ª parameter validation
â–ª iterative processing
â–ª global and local symbol tables
• Learning More▪ SAS resources
â–ª beyond this course
• Supplemental Materials▪ program flow
â–ª Use CREATE TABLE query to create Study Tabulations and Analysis Datasets
â–ª Use Join and Union clauses to combine multiple tables
• Use Macro Programming to automate tasks▪ Create a macro to derive ISO8601 date string from SAS date or datetime component variables
â–ª Create a macro to derive SDTM study day variable
â–ª Create a macro to calculate change from baseline
â–ª Course logistics
â–ª Introduction to reporting.
â–ª Introduction to ODS.
â–ª ODS with the SAS interfaces.
â–ª Creating reports with the PRINT procedure
• Getting Started with the TABULATE Procedure▪ Introduction to the TABULATE procedure.
â–ª Creating the structure of the table.
â–ª Adding overall summarizations.
â–ª Adding additional statistics.
• Doing More with the TABULATE Procedure▪ Enhancing with labels and formats.
â–ª Enhancing with options.
â–ª Adding trafficlighting.
â–ª Adding additional style attributes.
• Getting Started with the REPORT Procedure▪ Introduction to the REPORT procedure.
â–ª Creating a detail report.
â–ª Creating a summary report with the GROUP usage.
â–ª Creating a summary report with the ACROSS usage.
â–ª Computing an additional column.
• Doing More with the REPORT Procedure▪ Adding summary lines.
â–ª Customizing break lines.
â–ª Adding trafficlighting and style attributes.
â–ª Using the CALL DEFINE statement.
• Doing More with the REPORT Procedure▪ Adding summary lines
â–ª Customizing break lines.
â–ª Adding trafficlighting and style attributes.
â–ª Using the CALL DEFINE statement.
• Using ODS Destinations▪ Introduction to ODS destinations
â–ª PRINTER and RTF destinations
â–ª CSV and HTML destinations.
â–ª Excel and other destinations.
â–ª SAS destinations.
• Doing More with ODS▪ Using ODS options and statements.
â–ª Using ODSESCAPECHAR.
â–ª Controlling bookmarks and the table of contents.
â–ª Using ODS layout
• Introduction to SG Procedures▪ Introduction to ODS Graphics.
â–ª Using the SG procedures.
â–ª Setting up for this course
â–ª Data visualization with SAS programming overview.
â–ª Layers of a graph.
• SGPLOT Procedure▪ Introduction
â–ª Bar charts.
â–ª Dot, line, scatter, and series plots.
â–ª Additional basic plots.
â–ª Distribution plots.
â–ª Fit and confidence plots
• Enhancing Visualization Appearance▪ Style templates, colors, and fonts.
â–ª Group attributes.
â–ª Reference lines and text boxes.
â–ª Axis appearance.
â–ª Legend appearance
â–ª User-defined style templates.
â–ª Additional statements and examples
• Multi-cell Procedures▪ Introduction.
â–ª SGPANEL procedure
â–ª SGSCATTER procedure.
• Additional Procedures▪ SGPIE procedure.
â–ª SGMAP procedure.
• Customizing Visualizations▪ Introduction to SG annotation.
â–ª Drawing space.
â–ª LINE and ARROW functions.
â–ª TEXT and TEXTCONT functions
â–ª SG attribute maps
• More with ODS Graphics▪ ODS GRAPHICS and destination statements.
â–ª ODS layout.
â–ª Statistical procedures.
• Graph Template Language▪ Introduction.
â–ª Graph Template Language syntax
â–ª Dynamic and macro variables.
â–ª Creating Tables
â–ª Creating Listings
â–ª Output Appearance Options
â–ª Common Clinical Trial Graphs
â–ª Exporting Data
â–ª Define.XML for CDISC SDTM
â–ª Define.XML for CDISC ADaM
â–ª Programming Considerations
â–ª Reviewing Programming Log
â–ª Using SAS Programming Procedures for Data Validation
â–ª Generate descriptive statistics and explore data with graphs.
â–ª Perform analysis of variance and apply multiple comparison techniques
â–ª Perform linear regression and assess the assumptions.
â–ª Use regression model selection techniques to aid in the choice of predictor variables in multiple regression.
â–ª Use diagnostic statistics to assess statistical assumptions and identify potential outliers in multiple regression.
â–ª Use chi-square statistics to detect associations among categorical variables.
â–ª Fit a multiple logistic regression model.
â–ª Score new data using developed models.
This course is mapped to TWO credentials as below:
1. SAS Certified Specialist: Base Programming Using SAS 9.4
2. SAS Certified Professional: Clinical Trials Programming Using SAS 9.4
Participants will be awarded SAS certified digital badges for these on clearing respective SAS exams
Besides participants will also be awarded participation certificate & Learn SAS digital badges for –
1. SAS Programming 1: Essentials
2. SAS Programming 2: Data Manipulation Techniques
3. SAS SQL1: Essentials
4. SAS Macro Language 1: Essentials
5. SAS Report Writing
6. Data Visualization Using SAS ODS Graphics
7. SAS Programming for Clinical Trials
8. Data Analysis and Reporting for Clinical Trials
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There are no specific qualifications to learn SAS Clinical Trials Programming Course, but if you are a clinical background professional such as life science, statistics or computer science, pharmacy, or medical graduate (BDS, BAMS, BHMS, BPT, etc.) besides statistical concepts and programming languages skills and knowledge can be useful.
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Yes, you can interact with our SAS Course Training Advisor they will schedule the Clinical SAS live web Free Demo session in Ahmedabad
Yes, our SAS Training Advisor will guide you about the SAS Clinical Trials Programming Professional Certification course. Enroll yourself in SAS Clinical Trials Programming Course in Ahmedabad, at Aspire Techsoft Academy and get expert guidance to enhance your skills. Get career guidance based on your educational qualification or field of interest.
Yes, you can do the SAS Clinical Programming course along with the Clinical Research course in Ahmedabad. In fact, many clinical research courses include SAS programming. Because it is a commonly used tool for data management, clinical research analytics, and analytics in clinical research
SAS (Statistical Analysis System) is a powerful software suite used for data management, statistical analysis, and reporting in a variety of industrial pursuits, including medical research.
Learn the SAS Clinical Trails Programmer Certification course in Ahmedabad with Placement. The clinical SAS Programming Course Duration is 185 hrs. Of exhaustive content developed by our SAS Certified Experts covering SAS Programming, Clinical Trials, CDISC standards, STDM, ADaM programming, and much more.
The Trainers at the SAS Accredited Training Centers in India undergo a process of getting certified before conducting any SAS-related courses. The primary purpose is to assure Clinical SAS Live Web Training in Ahmedabad from highly qualified, globally certified sas trainers who maintain the highest standards of quality in the delivery of SAS education courses
To help candidates prepare for the SAS Certification Exam, you can enroll in Clinical SAS Certification Training in Ahmedabad, SAS instructor-based training, Aspire Techsoft Academy Provides Clinical SAS live web classes in Ahmedabad. Information on exam preparation options is listed on the Exam Preparation tab in each exam.
Each applicant may attempt the Clinical SAS Certification Exam a minimum of 5 times within a 12-month period, each attempt requires a 14-day waiting period and the exam fee is charged for each exam visit.
Failure to comply with this retake policy will result in the certification exam being considered invalid and not eligible for the certification credential.
There are many types of certification courses available in SAS. Aspire Techsoft Academy is the Top Clinical SAS Global Certification Training Provider in India and provides world-class SAS Training. Review your requirements and book your certification course online.
Clinical SAS is part of data management. Clinical SAS involves programming using SAS (Statistical Analysis System) software that is used to process all types of data related to clinical research.
This includes data cleaning, data mining, and data analytics. Clinical research includes activities such as clinical trials, clinical trial management, monitoring, reporting, pharmacovigilance, and data management.
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Understand SAS Clinical Research Theory and Clinical Data Analysis courses and complete projects.
Our Clinical SAS live web training is conducted by globally acclaimed SAS Certified Experts. You can ask questions and share ideas during SAS Clinical Programming Live Web class hours and on-demand lab hours.
Achieve your SAS certification goals with guidance from our SAS Certified experts. Join Clinical SAS webinars from our SAS experts for in-depth learning.
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