SAS
Course Length : Regular - 45 Days, Fastrack - 30 Days
Course Start : For Details Call +91 9247716307,
Limited seats per batch
Course Location : Hyderabad, India
Contact Us : Call +91 9247716307
 

Syllabus

 
Base SAS (Course Duration: Regular: 45 days / Crash: 30 days)

 Fundamentals SAS
 Introduction to SAS
 Running SAS programs
 Descriptive information and statistics
 An overview of statistical tests in SAS
 Exploring data with graphics
 Using where with SAS procedures
 Missing values in SAS
 Common SAS options
 Overview of SAS syntax of SAS procedures
 Common error messages in SAS
 Inputting raw data into SAS
 Reading dates into SAS and using date variables
 Creating and recoding variables
 Using SAS functions for making/recoding variables
 Subsetting variables and observations
 Labeling data, variables and values
 Using Proc Sort and the BY statement
 SAS Functions
 Research project.

SAS MACROS


 Introduction to SAS Macro Language Elements
 Introduction to Macro Variables
 Automatic Macro Variables
 User define Macro Variables
 How Macro processing will undergo inside the SAS system
 Macro Statements
 Macro Functions

SQL

 Inserting data into Tables
 Alter & update the tables
 Construct sub queries within a PROC SQL step
 SQL pass through Facility
 Connecting to DBMS
 Natural Joins
 Inner Joins
 Outer Joins

 
 

Overview

 
The Course aims to help Trainees think about

(i) their current understanding and level of expertise using bioinformatics tools in general

(ii) specific areas of bioinformatics in which their research may benefit from adjusting and/or developing their understanding.

Additionally, it aims to help them identify key, general, transferable competencies they may already have using bioinformatics tools, and to introduce them to some of the competencies that they may not be aware of as important. Finally, in the context of a demonstration and an exercise carrying out bioinformatics task that links together many different web resources, it aims to give them insight into the approaches typically employed by more experienced bioinformaticians, hopefully also highlighting examples in which the previously-introduced competencies are exploited.

As contemporary biologists we have entered an age where the use of computers in our daily work has become all but essential. The manipulation and analysis of DNA and protein data by electronic means has become a routine task. Further, the amount of DNA and protein sequence data we are putting into databases every day is expanding at a geometric rate, and with coming advances in sequencing technology this rate is only expected to increase. With all this new data, analysis by individual humans is simply not possible.

Thus, in the past 15 years, computational biology has emerged as a field concerned with storage, manipulation, and extraction of valuable information from all this new data.
However, because computational biology is an emerging field, organized courses are generally saved for higher-level study, and often are not required parts of an undergraduate curriculum.

We seek to fill this void in education, and create a course that will introduce students to bioinformatics at an earlier point in their education. This knowledge will prove to be not simply useful, but essential, for any student considering a degree in any area of biology.
 

Online Training


Our course, Bioinformatics Consists, consists of two major parts:


1) Studying the reading material and completing a number of small assignments.

2) Completing a small research project which includes searching biological data and using sequence analysis methods.

Both parts are expected to take approximately one week of full-time work, which You may disperse over a period of eight weeks as it fits with other obligations of yours. There is a real person, a net tutor, to help you thoughout the course. The following diagram illustrates some of the interactions between yourself and the tutor during the course and gives you an idea how you proceed in the course.

Additionally, it aims to help them identify key, general, transferable competencies they may already have using bioinformatics tools, and to introduce them to some of the competencies that they may not be aware of as important.

Finally, in the context of a demonstration and an exercise carrying out bioinformatics task that links together many different web resources, it aims to give them insight into the approaches typically employed by more experienced bioinformaticians, hopefully also highlighting examples in which the previously-introduced competencies are exploited.
 

Course Goal


 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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