Category Archive: sas certification

Learn to Surf on the Three Waves of Artificial Intelligence

Learn to Surf on the Three Waves of Artificial Intelligence
 

How is the future going to be like? Will human workforce be completely redundant? Will machine learning supersede human intelligence? There have been myriad forecasts about the illuminating future of the AI: that it will be capable of analyzing human emotions, evaluating social nuances, heading medical treatments and surgeries, all that shrouds the best of human resources. But what about now? What is the present scenario like? Fortunately, DARPA is here to unleash a stream of answers to various questions, asked as well as unasked.

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Apple Watch’s Strategy Analytics, Return to 1% Growth

As per the latest research from strategy analytics, the global smart watch shipments of Apple has grown by 1 percent annually to hit the major record of 8.2 million units in the 4th quarter of the year 2016. The growth of apple watch drove and got dominated with 63 percent in global smart watch share of market and Samsung still continues to hold its second position.
 
Apple Watch’s Strategy Analytics, Return to 1% Growth

 

Neil Mawston, the Executive Director at Strategy Analytics stated on the issue by saying – the global shipments have grown by 1 percent annually from the pre-existing 8.1 million units in quarter 4 in 2015 to 8.2 million in quarter 4 in 2016. The market shows a marked growth in the fourth quarter for growth in smart watches industry after the past two consecutive quarters for declining volumes. The smart watch growth is also seen to be recovering ever so slightly due to new product launches from other company giants. Moreover, there is a seasonal demand for these gadgets, and a giant such as Apple is launching stringer demand in the major developed markets in the US and UK. Hence, the international smart watch shipments grew by 1 percent annually; from the previously existing 20.8 million in full-year 2015 to a record high of 21.1 million in 2016.

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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.

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How to Code Colour Values Within SAS Enterprise Guide

Colours are amazing, they are the subject of many romantic poems and songs, they are what can alter our moods drastically, they are these magical wavelengths that transform into incredible visions for our eyes.

 
How to Code Colour Values Within SAS Enterprise Guide
 

Some feel warm, while others feel cool, some make us happy while others make us sad… but as colours are so important, how to add these values within the SAS Enterprise Guide?

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We are Proud to Host Corporate Training for WHO Reps!

We are happy to announce our month-long corporate training session for the representatives of WHO, who will be joining us to discuss data analytics all the way from Bhutan. The team of delegates who have come to seek training from our expert in-house trainers are for the Central of Disease Control, Ministry of Health Royal Government of Bhutan.

 
We are Proud to Host Corporate Training for WHO Reps!
 

The training is on the concepts of R Programming, Data Science using R and Statistical Modelling using R, and will go on from the 8th of February 2017 to the 8th of March 2017. We are hosting this training session at our headquarters in Gurgaon, Delhi NCR. It is a matter of great pride and honour for the team of seasoned industry expert trainers at DexLab Analytics to be hosting the representatives from WHO.

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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.

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Historians Make Use of Predictive Modeling

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.

 

Predictive Modelling

 

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.

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Elementary Character Functions in SAS

Basically the number of functions present in the SAS program amount to three. They are Character Functions, Numeric Functions and Date and Time Functions. In this post we are going to take a brief look at Character functions of a basic nature.

 

Elementary Character Function  in SAS

 

Character Functions

Suppose that there is this program with the following lines of command:

Data Len_func ; input name $ ; cards; Sandeep Baljeet
Neeta
.
;
run;
data Len_func; set Len_func ; Len=length(name);
Len_N=lengthn(name); Len_C=lengthc(name); run;
proc print; run;

Here,

  • The function called LENGTH returns the character value’s length.
  • The function LENGTHN is more or less identical to the LENGTH function. The sole difference between the two lies in the fact that for a value missing character it returns the length that equals to 0 whereas LENGTH returns a value of 1.
  • The function LENGTHC returns to the program the storage length of particular strings.

 

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

 

Again let us consider the following lines of code:

Data case ; input name $ ;cards;
sandeep baljeet neeta
;
New_U=upcase(name); New_P=propcase(name); 
run;
proc print; run;

 

Data Preparation using SAS – @Dexlabanalytics.

 

Here the following functions are introduced:

  • The function UPCASE converts all of the letters to the uppercase.
  • The function PROPCASE serves to capitalize the first letter of all words and converts the remaining to lowercase.
  • As might be guess from the convention conformed to while naming the function, LOWCASE transforms all letters to their lowercase counterparts.

 

In the following program commands:

Data AMOUNTS; input NAME $20.; cards;
RAD-HIKA SHARMA RAJARAM PAND-IT SURESH
AA-RT-I
;
RUN;
Data AMOUNTS;
Set AMOUNTS; NAME1=COMPRESS(NAME,'-'); NAME2=COMPBL(NAME);
RUN;
PROC PRINT;
RUN;

 

Here’s why SAS Analytics Is a Must-Have IT Skill to Possess – @Dexlabanalytics.

 

Here we can see the following syntax:

  1. Compress (Variable, ”want to remove”);
  2. Compbl (Variable)
  • The function COMPRESS removes blanks by default. It can also remove a particular specified character value as indicated by the code. In the example cited the character value ‘-‘is compressed.
  • On the other hand the COMPBL function serves to result in a single blank from multiple ones.

 

For expert guidance, you will be well advised to enroll yourself in a SAS course from a reputed SAS Training institute. You may consider DexLab Analytics if you are in the vicinity of Delhi or noida.

 

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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.

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

  • Tricia Aanderud

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

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Data Preparation using SAS

Data Preparation using SAS
 

Before doing any data analysis, there are tasks which are critical to the success of the data analysis project. That critical task is known as data preparation. You may have heard that in the last years the data production is expanding at an astonishing pace. Experts now point to a 4300% increase in annual data generation by 2020. This can be due to the switch from analog to digital technologies and the rapid increase in data generation by individuals and corporations alike. The most of the data generated in the last few years are unstructured.

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