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Here’s why SAS Analytics Is a Must-Have IT Skill to Possess

Here’s why SAS Analytics Is a Must-Have IT Skill to Possess

Without the great Analytical surge, everything was looking fit and fine. The economy was performing well. The IT industry was looking stable. The tech honchos were playing fine. And then IT happened! Data Analytics snatched the dazzling limelight all to itself.

It’s true once in a while, our market needs a good shaking, or else things tend to get sluggish and slow. Over time, the industries start decreasing in efficiency and business houses crumples. Therefore, the change induced by Big Data Analytics is one for good: it started pulling back the market to its former position. From medical science to military to security, the reach of Big Data Analytics can be witnessed everywhere.

The evolution of analytics is largely consistent and covers a wide span of industries. It’s not like it suddenly came into a lot of focus, its advancement was slow and steady. Now, it has strived to become extremely important to store, interpret, analyze and develop crucial insights – social media is deriving maximum benefits out of analytics, while customizing their products to make more money from advertisements. On the other hand, the service-oriented companies love to manipulate data that is generated through myriad social channels to trigger customer base.

The ABC of Summary Statistics and T Tests in SAS – @Dexlabanalytics.

Today, SAS certifications are extremely rewarding and scores high for both employee and employer. Analytics is a big word, encompassing a whole array of job roles, such as Forecaster, Market Researcher, Data Miner, Operations Researcher and Statistical Analyst – so when are you choosing this career gateway for a better future! DexLab Analytics is here with its state-of-the-art SAS training courses, help yourself.

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3 key benefits of becoming SAS analytics professional:

Increase marketability and reach

SAS Analytics professionals possess higher marketability skills and enjoy a certain edge over competitors. Their job is to deliver nothing but the best, and they are very focused in doing that, leaving no scope for complaints.

Expand credibility for being the right technical professionals

As the SAS certified professionals have a thorough know-how about using SAS Software the employers stay relaxed and trusts their predicaments, hence, enhancing their credibility quotient.

Enhance skill and expertise in SAS area of specialization

No doubt, SAS Analytics professionals are extremely good in their field of work. Owing to their professional nature they tend to attract more lucrative job opportunities.

Data Preparation using SAS – @Dexlabanalytics.

Apart from SAS, R programming is rapidly gaining popularity. Small and large companies have realized the growing the importance of these two tools. SAS combined with R language training in Delhi opens a whole gamut of striking opportunities. Having said that, companies that have stayed traditional, through its very core, have now embraced SAS and R skills, and for the right reasons.

At DexLab Analytics, we increasingly focus on making students totally data-ready. Opt for R programming certification, and give new data-hungry souls the drive to enter the world of analytics. After all, to excel in the analytics career and sail high you need to be well-equipped with SAS and R – they are the tools of combat for the future IT domain.!

 

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How to Determine the Size of a SAS Data Set

How to Determine the Size of a SAS Data Set

When program codes, applications and SAS data sets are developed, enough attention is often not given to EFFECIENCY, especially during the initial phases of development. Since, data size and system conduct can influence a program or an application’s functioning, SAS users need to access information about a data set’s size and content. To ascertain how much disk space a data set is using, users can easily do a few calculations to learn to access metadata content and attain the important information. Determine, estimate and understand information with this following tip, which helps improve SAS performance and fine-tuning of techniques.

Also read: How to Code Colour Values Within SAS Enterprise Guide


Implementing PROC SQL and DICTIONARY.TABLES

The SAS system accumulates valuable information (also known as metadata) about all-familiar SAS libraries, indexes, data sets (tables), system options, views, catalogs, macros and an assemblage of other “read-only” tables called Dictionary tables and SASHELP views. TABLES, a particular Dictionary table and its SASHELP view equivalent, VTABLE, consists details about a SAS session’s data set. Check the following PROC SQL code as its specification will help us get access to the contents of four columns observed in the TABLES Dictionary table, namely BNAME, MEMNAME, MEMTYPE and FILESIZE to exhibit the size of the CARS data set.

Also read: How to Use PUT and %PUT Statements in SAS: 6 Tips


PROC SQL and Dictionary.TABLES:

PROC SQL ;
  TITLE ‘Filesize for CARS Data Set’ ;
  SELECT LIBNAME,
         MEMNAME,
         FILESIZE FORMAT=SIZEKMG.,
         FILESIZE FORMAT=SIZEK.
    FROM DICTIONARY.TABLES
      WHERE LIBNAME = ‘SASHELP’
        AND MEMNAME = ‘CARS’
        AND MEMTYPE = ‘DATA’ ;
QUIT ;

Results

Size-of-SAS-data-set1

Analysis

The above results show that the CARS data set filesize is 192KB.

Nota bene: If the SIZEKMG.format is mentioned in a format=option, SAS ascertains whether it should apply KB for kilobytes, MB for megabytes or GB for gigabytes, and divide the filesize value with the help of one of the following values:

KB           1024

MB          1048576

GB           1073741824


Using PROC PRINT and SASHELP.VTABLE

In the following example, the provisions of a PROC PRINT are explained to access the constituents of three columns found in the VTABLE SASHELP view, particularly LIBNAME, MEMNAME and FILESIZE to exhibit the size of the CARS data set.

Also read: SAS Still Dominates the Market After Decades of its Inception


PROC PRINT and SASHELP.VTABLE

PROC PRINT DATA=SASHELP.VTABLE NOOBS ;
  VAR LIBNAME MEMNAME FILESIZE ;
  WHERE LIBNAME = ‘SASHELP’
    AND MEMNAME = ‘CARS’ ;
  FORMAT FILESIZE SIZEKMG. ;
  TITLE ‘Filesize for SASHELP.CARS Data Set’ ;
RUN ;

Results

Size-of-SAS-data-set2


Using DATA _NULL_, SASHELP.VEXTFL and CALL SYMPUTX

Lastly, a DATA_NULL_ is depicted to approach the contents of the VEXTFL SASHELP view with a FILENAME statement. An assignment statement is specified to determine the FILESIZE value for the size of the CARS data set. The CALL SYMPUTX left supports and chops off the trailing blanks from the digital FILSESIZE value of 196608.

Also read: Things to judge in SAS training centres


DATA_NULL_and SASHELP.VEXTFL

filename myfile 'C:\Program Files\SAS9.4\SASFoundation\9.4\\CORE\SASHELP\Cars.sas7bdat' ;
DATA _NULL_ ;
  SET SASHELP.VEXTFL (WHERE=(FILEREF=’MYFILE’)) ; 
  /* Calculate the Filesize in MB */
  FILESIZE = FILESIZE / (1024 ** 2) ;
  CALL SYMPUTX (‘FILESIZE’,FILESIZE) ;
RUN ;

Results

Size-of-SAS-data-set3

 

Learn more about SAS Predictive Modelling by taking up SAS certification courses in Delhi and Gurgaon. DexLab Analytics offers excellent SAS analytics course for data enthusiasts.

 
This post originally appeared onblogs.sas.com/content/sastraining/2017/04/25/determining-the-size-of-a-sas-data-set
 

Interested in a career in Data Analyst?

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How to Simulate Multiple Samples From a Linear Regression Model

In this blog post, we will learn how to simulate multiple samples efficiently. In order to keep the discussion, easy we have simulated a single sample with ‘n’ number of observations, and ‘p’ amount of variables. But in order to use the Monte Carlo method to approximate the distribution sampling of statistics, one needs to simulate many specimens with the same regression model.

 

How to Simulate Multiple Samples From a Linear Regression Model
How to Simulate Multiple Samples From a Linear Regression Model

 

The data steps in SAS in  most blogs have 4 steps mentioned for so. However, to simulate multiple samples, put DO loop around these steps that will generate, the error term and the response variable for very observation made in the model.

Continue reading “How to Simulate Multiple Samples From a Linear Regression Model”

What is Truly Efficient? Understanding Stratified Random Sample

What is Truly Efficient?  Understanding Stratified Random Sample:

We have discussed several times the efficiency of various techniques for selecting a simple random sample from an expansive dataset. With PROC SURVEYSELECT will do the job easily…

 

proc surveyselect data=large out=sample
	 method=srs   /* simple random sample */
	 rate=.01;   /* 1% sample rate       */
run;

 

However, let us assume that our data includes a STATE variable, and one would want to guarantee that a random sample includes the precise proportion of observations from each of the states of America.

Continue reading “What is Truly Efficient? Understanding Stratified Random Sample”

The Most Interesting Scientific Fact About Numbers a Data Scientist can Know

Are you a non-data person? Do you think numbers are unnecessarily complex and are better to stay away from? When asked to calculations do you feel a little of sleepiness setting in? Then this would come as a surprise to you that our brains originally think in numbers. To be more precise, our brains actually think in the Logarithm Scale instead of thinking in the additive scale. To put it simply our brains understand better in terms of proportions than in differences.

 

The most interesting scientific fact about numbers a data scientist can know

 

So, how would our brains approach differences in numbers? We think almost automatically that the difference between 1 and 2 is greater than the difference between 3 and 2 and so forth.

Continue reading “The Most Interesting Scientific Fact About Numbers a Data Scientist can Know”

Historians Make Use of Predictive Modeling

Predictive Modelling

Predictive modeling figures at the top of the list of new techniques put in to use by researchers in order to make out key archeological sites. The methodology used is not that complex. It makes predictions on the location of archeological sites having for its basis the qualities that are common to the sites already known. And the best news is that it works like a charm. A group of archeologists working in the company Logan Simpson which operates out of Utah discovered no less than 19 individual archeological sites containing many biface blades as well as stone points in addition to other artifacts that belong to the Paleoarchaic Period which ranges from 7,000 to 12,000 years ago.

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The location of the site is about 160 km or 100 miles from Las Vegas, Nevada. The group of researchers also came across lakes and streams that disappeared long before. According to archeologists the sites were perhaps put into used by a number of groups of gatherers and hunters in the ancient times. The sites are scattered widely and also are scarce and could herald an understanding of the human activity that took place throughout the length and breadth of the Great Basin as a warmer climate prevailed after the end of the Ice Age. Their remoteness ensured that they remain unfound when traditional methods are employed.

How Predictive Analysis Could Have Saved the World from Ransomware – @Dexlabanalytics.

In Nevada’s Dry Lake Valley, Delamar Valley and Kane Springs archeologists have discovered sites like Clovis, Lake Mojave and also Silver Lake that contains some stone tools constructed according to styles prevalent as far as 12,000 years back.The project was funded by the Lincoln County Archeological Initiative from the Bureau of Land Management. It made use of GIS or geographic information system technology in order to make predictions about activity belonging to the Pleistocene-Holocene period.

 
Read Also: How Data Preparation Changed Post Predictive Analytics Model Implementation

 

The predictive modeling put into use took in to account the fact that the Great Basin was way more wet and cool at the end period of the Pleistocene than the climate prevalent today and in all probability had attracted the attention of gatherers and hunters for several centuries. The process of mapping with GIS and aerial pictures amongst others was followed by pinpointing and ranking the various locations that hold the most promise.

How Predictive Analysis Works With Data Mining – @Dexlabanalytics.

Apart from the Paleoarchaic era, artifacts belonging to relatively more recent periods in History were also found which bear out that the sites at the lakeside had been used over the course of several millennia.

But the most important discovery was the proof that that Predictive Modeling on the basis of GIS works well and should be included in the arsenal of tools of archeologists trying to discover prehistoric sites .

 
Read Also: Predictive Analytics: In conversation with Adam Bataran, Managing Director of GTM Global Salesforce Platforms at Bluewolf
 

Make predictive analytics your best friend for life and career with easy and comprehensive SAS training courses in Delhi by DexLab Analytics. For more information about this premier SAS training institute, log into their website.

 

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10 Things You Might Not Have Known About Your Favorite SAS Authors

10 Things You Might Not Have Known About Your Favorite SAS Authors

If you are into the ecosphere of SAS it is most probable that at some point you have read their SAS books. But now it is time to be illuminated about a previously unknown side of your favorite SAS author.

  • Tricia Aanderud

    Tricia has the distinction of having 100 jokes committed to memory including some that would fall into the category of dubious taste.

  • Bill Benjamin

    Bill contemplated photography, art and even journalism classes during high school. When giving computers too a thought, the golden idea of flipping a coin to decide his destiny came upon him. And the result benefited the world of SAS.

  • Patricia Berglund

    She is game for adventures regarding sled dogs and racing too! Under her adaptation is a sled dog,  now retired from the wild sport.

  • Chuck Boiler

    Chuck has had a brief experience in teaching grade school where he fell in love with learning which he pursues through his popular SAS books.

  • Iain Brown

    Iain digs anything that is remotely associated with football and uses all the SAS tools to pick and maintain his very own fantasy team.

  • Michele Burlew

    Her SAS macro quoting functions comparison to cloaking devices referred to in Star Trek made by her husband found its way in the first edition of the book “SAS Macro Programming Made Easy”.

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  • Art Carpenter

    A backpacker by heart,  Art once hiked through the John Muir Trail along with his daughter.

  • Charlie Chase

    An avid jazz aficionado he has had the opportunity to watch Winton Marsalis, Dizzy Gillespie, David Benoit and Grover Washington Jr, his personal favorite,  in action.

  • Ron Cody

    One of the ruling passions of John is scuba diving and he is the sort who will work his way through datasets while being on vacation.

  • Lora D. Delwiche

    Lora spent a few months in Israel and Belgium while her husband took a long leave from his university job.

Endwords

Besides getting into the details of SAS authors, get yourself enrolled in state-of-the-art SAS courses. DexLab Analytics boasts of the best SAS certification and it will provide more of such trivia in the days to come. So stay tuned.

 

Interested in a career in Data Analyst?

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To learn more about Data Analyst with SAS Course – click here.
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