The SAS online training will help you gain mastery over the business intelligence and analytics domains.
This SAS Training Online From Hyderabad course offered by SK Trainings will help you gain expert knowledge in SAS programming and Analytics. Our expert trainer will help you learn major concepts right from the basics to advanced level. In this course you will gain mastery in SAS concepts such as SAS macros, procedure, Machine Learning, statistical analysis, PROC SQL, and decision trees. As a part of training you will be working on real-life projects and be prepared for clearing the certification. Get the Best SAS Training from the expert trainers by joining SK Trainings.
This SAS Online Training From Hyderabad will help you become a master in the domains of business intelligence and business analytics. Upon the successful completion of this SAS course you will gain all the knowledge in databases, reading spreadsheets, manipulation of data, data debugging and a lot more other topics. You will also gain mastery in concepts such as data mining, modeling techniques, data analytics, predictive analysis , visualization of data, etc. Get the best SAS course from the industry experts.
Following are the professionals who get benefited from learning this course:
There are no prerequisites to enrol into this SAS training course. If you have a basic knowledge of SQL then it would be an added advantage for you.
Yes, upon the successful completion of the SAS training you will receive the course completion certificate from SK Trainings. This certificate is valid across all the top MNCs and simplifies your job search process.
Yes, you will get all assistance from the SAS experts to clear your certification exam. Moreover you will be provided with the experts designed SAS course material to clear your certification exam.
SAS (Statistical Analytics System)
The following are the four capabilities in SAS Framework
1. Access: As we can learn from the figure, SAS allows us to access data from multiple sources like an Excel file, raw database, Oracle database and SAS Datasets. 2. Manage: We can then manage this data to subset data, create variables, validate and clean data. 3. Analyze: Further, analysis happens on this data. We can perform simple analyses like frequency and averages and complex analyses including regression and forecasting. SAS is the gold standard for statistical analyses. 4. Present: Finally we can present our analysis in the form of list, summary and graphic reports. We can either print these reports, write them to data file or publish them online.
Stop statement causes SAS to stop processing the current data step immediately and resume processing statement after the end of current data step.
There are two data types in SAS. Character and Numeric. Apart from this, dates are also considered as characters although there are implicit functions to work upon dates.
SUM function returns the sum of non-missing arguments whereas “+” operator returns a missing value if any of the arguments are missing.
Suppose value of a variable PayRate begins with a dollar sign ($). When SAS tries to automatically convert the values of PayRate to numeric values, the dollar sign blocks the process. The values cannot be converted to numeric values. Therefore, it is always best to include INPUT and PUT functions in your programs when conversions occur.
PROC SQL is a simultaneous process for all the observations. The following steps happen when PROC SQL is executed:
1. SAS scans each statement in the SQL procedure and check syntax errors, such as missing semicolons and invalid statements. 2. SQL optimizer scans the query inside the statement. The SQL Optimizer decides how the SQL query should be executed in order to minimize run time. 3. Any tables in the FROM statement are loaded into the data engine where they can then be accessed in memory. 4. Code and Calculations are executed. 5. Final Table is created in memory. 6. Final Table is sent to the output table described in the SQL statement.
TRANWRD function replaces or removes all occurrences of a pattern of characters within a character string.
Data is central to every data set. In SAS, data is available in tabular form where variables occupy the column space and observations occupy the row space.
We can use ‘do until’ or ‘do while’ to specify the condition.
Yes, it depends on how you use the variable. There are some numbers we will want to use as a categorical value rather than a quantity. An example of this can be a variable called “Foreigner” where the observations have the value “0” or “1” representing not a foreigner and foreigner respectively. Similarly, the ID of a particular table can be in number but does not specifically represent any quantity. Phone numbers is another popular example
The number of observations is limited only by computer’s capacity to handle and store them.
Prior to SAS 9.1, SAS data sets could contain up to 32,767 variables. In SAS 9.1, the maximum number of variables in a SAS data set is limited by the resources available on your computer.
You can use the OUTPUT statement to save summary statistics in a SAS data set. This information can then be used to create customized reports or to save historical information about a process.
You can use options in the OUTPUT statement to
1. Specify the statistics to save in the output data set, 2. Specify the name of the output data set, and 3. Compute and save percentiles not automatically computed by the CAPABILITY procedure.
If you don’t want to process certain variables and you do not want them to appear in the new data set, then specify drop = data set option in the set statement.
Whereas If want to process certain variables and do not want them to appear in the new data set, then specify drop = data set option in the data statement.
The main difference is that while reading an existing data set with the SET statement, SAS retains the values of the variables from one observation to the next. Whereas when reading the data from an external file, only the observations are read. The variables will have to re-declared if they need to be used.
PROC MEANS produces subgroup statistics only when a BY statement is used and the input data has been previously sorted (using PROC SORT) by the BY variables.
PROC SUMMARY automatically produces statistics for all subgroups, giving you all the information in one run that you would get by repeatedly sorting a data set by the variables that define each subgroup and running PROC MEANS. PROC SUMMARY does not produce any information in your output. So you will need to use the OUTPUT statement to create a new DATA SET and use PROC PRINT to see the computed statistics.
An important difference between the DO UNTIL and DO WHILE statements is that the DO WHILE expression is evaluated at the top of the DO loop. If the expression is false the first time it is evaluated, then the DO loop never executes. Whereas DO UNTIL executes at least once.
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The industry trainers who are working with us are highly qualified and possess a minimum of 10-12 years of experience in the IT field. We follow a critical procedure while selecting a trainer which include profile selection, screening, technical evaluation and validating presentation skills. The trainers who get top ratings by students are given priority and continue to teach with us.
You need not worry about anything. Once you join SK trainings, you will get lifetime assistance from our support team and they are available 24/7 to assist you.
Online training is an interactive session where you and the trainer are going to connect through the internet at a specific time on a regular basis. They are interactive sessions and you can interact with trainers and ask your queries.
Yes, you will be eligible for two types of discounts. One is when you join as a group and the other is when you are referred by our old student or learner.
Yes, you will gain lifetime access to course material once you join SK Trainings.
Our trainer will provide you server access and help you install the tools on your system required to execute the things practically. Moreover, our technical team will be there for you to assist during the practical sessions.
Yes, Sk Trainings accepts the course fee on an instalment basis to make the students feel convenient.
SK Trainings is one of the top online training providers in the market with a unique approach. We are one-stop solutions for all your IT and Corporate training needs. Sk Trainings has a base of highly qualified, real-time trainers. Once a student commits to us we make sure he will gain all the essential skills required to make him/her an industry professional.
Till now SK Trainings has trained thousands of aspirants on different tools and technologies and the number is increasing day by day. We have the best faculty team who works relentlessly to fulfill the learning needs of the students. Our support team will provide 24/7 assistance.
SK Trainings offers two different modes of training to meet student requirements. Either you can go for Instructor led-live online classes or you can take high-quality self-paced videos. Even if you go with self-paced training videos you will avail all the facilities offered for the live sessions students.
Yes, each course offered by the SK Trainings is associated with Two live projects. During the training, students are introduced to the live projects implementation process.
Yes, absolutely you are eligible for this. All you need to do is pay the extra amount and attend live sessions.
You must experience the course before enrolling.
Train yourself into a certified SAS online course by enrolling in the SK Training’s SAS online training. You will get thorough knowledge by our expert trainer and also for SAS programing and Analytics. You can become an expert in areas such as SAS macros, procedure, Machine Learning, statistical analysis, PROC SQL, and decision trees. Real-time knowledge is obtained by working in UI projects. Join the SK Trainings SAS Online Certification Course and learn from the expert SAS onlines.Get Certified
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