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The Nitty-Gritty When It Comes to SAS 101

Posted on July 5, 2018July 5, 2018 by Dexlab

The Nitty-Gritty When It Comes to SAS 101

SAS is a state-of-the-art business intelligence tool that is primarily designed to facilitate reporting, data analysis, mining and predictive modeling using convincing visualization and interactive dashboards. Being a powerful programming language, SAS performs complex statistical data analysis; unlike other built-in tools, like Microsoft Excel, SAS lets users to salvage and run data from a plethora of sources, along with ensuring enough control and freedom during data manipulation and compilation.

Statistical Analysis System (SAS) was introduced for organizations to explore their vast datasets in a highly interactive format. Today, SAS is largely used in machine learning, data science and business intelligence applications. Not only does it arms the organizations with the necessary tools and techniques to monitor key BI metrics, but also develops incredible insights and comprehensive reports, facilitating informed decision-making procedures.

SAS Fuelling Career Growth

Business analytics and incredible BI tools have become central for running medium and large-scale enterprises across the globe, efficiently. With data becoming increasingly instrumental in pushing businesses to horizons of success, a majority of organizations is betting on SAS BI analytics.

As a result, the demand for SAS consultants is surging at an accelerating rate. Since more and more companies are adopting SAS analytics and altering the ways they used to work, SAS-related jobs are flooding the market. Handsome pay-packages are being offered to the right candidates, skilled and professional.

According to a recent study, the average salary of a diligent SAS programmer is around 10.8 Lacs – organizations are looking for professionals who would not only know how to slice and dice but also know how to draw the right projections and effectively communicate the insights. This is where SAS training Delhi comes in – Head-start a data journey with DexLab Analytics, as it offers the best SAS analytics training Delhi.

Books: For Enhancing the Level of SAS Knowledge

Besides encompassing SAS certification course modules, books tend to take us all a step closer to the bubbling pool of knowledge – SAS books are carefully written, specifically keeping in mind the requirements and focused areas of programmers and analysts.

Without any further ado, let’s dive into a well-curated list of SAS books that’ll help you ace the language like a pro:

SAS Essentials: Mastering SAS for Data Analytics by Elliott and Woodward – With an advanced approach, this book is perfect for master’s students of data analysis and programming and higher-level undergraduates.
SAS for Dummies by McDaniel and Hemedinger – An absolute beginner’s approach to SAS, this book is widely popular for its simple language, easier representation of facts and easy-to-follow guidelines.
The Little SAS Book by Delwiche and Slaughter – Ideal for beginners and experienced SAS consultants, as well, this book includes self-contained lessons, plenty of examples and interesting visuals.
SAS Certification Prep Guide – Released by the SAS institute, this is the final and official test-prep guide to be SAS certified.
Learning SAS by Examples: A Programmer’s Guide by Ron Cody – If you are a fast learner, this is the one for you. Each chapter in this book ends with test problems so that you are trained SAS-ready.

As final thoughts, SAS analytics is the most powerful tool for performing complex data analysis. Grasping the fundamentals of SAS language will surely present you a big leg up in the analytical domain. For SAS certification courses, drop by DexLab Analytics.

The blog has been sourced from –

https://www.whoishostingthis.com/resources/sas-programming

https://intellipaat.com/blog/what-is-sas-analytics

https://analyticsindiamag.com/analytics-india-salary-study-2017-by-analytixlabs-aim

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The Soaring Importance of SAS in Creating jobs Across Various Industry Domains

Posted on January 25, 2018February 13, 2018 by Dexlab

In a survey held in 2016, 54 million employees across 350 industries picked out SAS as the most valuable skill to possess. SAS skills still top the list. With predictive analytics gaining speed and accuracy in the world, one just cannot ignore SAS – the oldest and brightest data analytics tool. Though SAS-dominating days are gone, as R and Python has come up ruling the world , 41% of talented data science professionals still prefer SAS as compared to any other languages. The data science market is conquered by R and Python to a great extent, yet you will find a substantial number of clients still putting their bet on SAS predictive modeling.

To test how SAS certification is taking the job world by storm, open your web-browser and type ‘SAS jobs’ in the search panel – the following results in front of your eyes will give you all your answers. In fact, you’ll be more than surprised to see how many jobs springs up that calls for SAS expertise. A lot of clients and data houses seek SAS certified professionals to take care of the data-induced challenges and the numbers are quite overwhelming!

In total, SAS has around 85000 clients across the globe – owing to which, the demand for SAS should come as no surprise to you.

Benefits of SAS:

High Salary
Increasing Global Demand
Marketability
Role-focused
Validation of Skills

Besides the benefits enumerated above, SAS certification sizzles with myriad other perks related to data and analytics, and is regarded to be extremely useful in bagging entry-level jobs in data science and analytics. A diligent SAS expert explores the broadening field of SAS ANALYTICS, while streamlining his individual skill and expertise to add credibility to his job profile.

Want to get an instant pay hike? SAS skills may come to your rescue. Once you hone your SAS analytics skill, you can start expecting 6% to 10% pay hike, which further expands, if you add data mining and data modeling skills to in your resume, likewise.

Financial analytics and SAS

To improve the performance of business and act upon the loopholes present in an organization, financial analysts backed by advanced SAS analytics skills pore over a vast amount of company’s financial data. They help you answer all the business related questions and predict the future of your organization.

Healthcare and SAS

As healthcare pushes boundaries to ace the digital transition, Statistical Analysis Systems (SAS) is bringing all kinds of latest technical updates and modifications across a wide spectrum of care, right from the way healthcare providers perform tests to measuring patient safety and health outcomes. It is playing a pivotal role in tapping a lot of disease states and assessing ways to commercialize treatments.

Who specializes in SAS and why?

SAS skill is for experienced professionals. Old timers are its biggest fan, especially those who have more than 15 years of job experience. For them, nothing suits better than this miracle tool for data analysis.

However, the tides of time is changing, the current pool of students is somewhat showing keen interest in this field of study for quite some time now. But it takes a real effort of time and practice both to excel in this highly advanced software.

Drop by DexLab Analytics to avail SAS online training. The course here is designed and delivered by industry experts with crisp content and student-friendly learning techniques. Visit their website today!

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Researchers Peer into the Hood of Computational Linguistics

Posted on December 13, 2017December 13, 2017 by Dexlab

To start, give a look at these two sentences:

“This house is in a detestable location.”

“This detestable house is in this location.”

Well, these two sentences have virtually similar words, but owing to their structure, they exude entirely two different meanings. Understanding the true meaning of the sentences just by having a look at the words was something only reserved for the human intelligence, until now. Breakthroughs in Natural Language Processing (NLP), also known as computational linguistics have blazed a trail in this domain, which was once dominated by humans.

Continue reading “Researchers Peer into the Hood of Computational Linguistics”

How Data Preparation Changed Post Predictive Analytics Model Implementation

Posted on September 6, 2017April 6, 2018 by Dexlab

Data scientists assembling predictive models and formulating machine learning algorithms need to spare more time on data preparation work upfront than is required in traditional analytics applications.

In today’s business sphere, the drive to structure big data architectures that would stand on predictive analytics models, data mining and machine learning applications is fast modifying the pattern of the data pipeline, along with the data preparation steps necessary to fuel it.

Continue reading “How Data Preparation Changed Post Predictive Analytics Model Implementation”

Trends to Watch Out – Global Self-service Business Intelligence (BI) Market 2017

Posted on May 9, 2017May 9, 2017 by Dexlab

Gartner says – By 2020, the global BI and Analytics market is expected to flourish to USD 22.8 billion.

The Global Self-Service Business Intelligence (BI) Market Research Report 2017 provides a comprehensive, detailed analysis of Self-Service BI industry, including the present Self-Service BI market trends and norms. It mainly focuses on the market of big continents, like North America, Europe and Asia, coupled with countries like Germany, US, China and Japan.

Continue reading “Trends to Watch Out – Global Self-service Business Intelligence (BI) Market 2017”

Understanding the Difference Between ‘Sub-Setting IF’ and ‘IF-Then-Else-IF Statement’ in SAS Programming:

Posted on November 24, 2016May 23, 2020 by Dexlab

Winter is knocking at our doorstep and we are hoping to get our brains worked out with some rigorous learning.

However the weather remains, as data analysts using SAS programming, we can definitely use the weather forecasts to provide the data for explaining the concepts of IF and IF-THEN-ELSE statements to our readers interested in learning SAS predictive modeling. Continue reading “Understanding the Difference Between ‘Sub-Setting IF’ and ‘IF-Then-Else-IF Statement’ in SAS Programming:”

Data Preparation using SAS

Posted on August 31, 2015July 31, 2018 by Dexlab

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.

In the above context, it is highly important to prepare your data from the unstructured dataset to a structured dataset to do a meaningful analysis.

“Data preparation means manipulation of data into a form suitable for further analysis and processing”

“Data Preparation techniques consists of Cleaning, Integration, Selection and Transformation”

We will discuss some of the data preparation techniques in SAS using SAS. INFORMAT is used to read the data with special characters. FORMAT is used to display the data with special characters.

Data DP.Practice;

length City $10.;
 input City $ ID $ Age Salary DOJ Profit;
 informat Salary dollar6. DOJ ddmmyy10. Profit dollar7.2;
 format Salary dollar6. DOJ ddmmyy10. Profit dollar7.2;
 label DOJ = "Date of Joining";
 rename Salary = Salary_of_Employee;
 datalines;
 Bangalore T101 24 $2,000 12/12/2010 $300.50
 Pune T102 29 $3,000 11/10/2006 $400.50
 Hyderabad T103 $5,000 12/10/2008 $500.70
 Delhi T104 $6,000 12/12/2009 $450.00
 Pune T105 $7,000 12/12/2009 $450.00
 ;
 run;

On the above SAS code, we have used both the INFORMAT and FORMAT to read and display the data with special characters. The SAS INFORMAT statement read the salary as numeric variable and in a specific format i.e. $5,000 which is of 6 characters including $. The FORMAT statement displays the same in your input data. Rename and label statements helps modify the variables metadata for further understanding of the dataset.

We will apply some transformations techniques in a dataset which helps us to apply some advanced analytical techniques in the data. We have a dataset that has various attributes of a customer who has subscribed or not subscribed an edition. In our dataset we have a categorical variable status which holds the observation either “Subscribed” or “Not Subscribed”. We can transform the categorical variable into a dichotomous variable to run a logistic regression on our dataset.

Data media01;
 set DP.media;
 length status $15;
 If status =”subscribed” then status = “0”;
 else status = “1”;
 run;

On the above SAS code, we have applied simple If Else statements to transform our dataset called media. Transforming a categorical variable into a dichotomous variable helps us to apply the analytical techniques that we want to run in our dataset. Once after the transformation is done, the dataset is good to go for the next stage i.e. data analysis.

The more you torture your data i.e. Data Preparation, the more the success on the outcome of the data analysis.

DexLab Analytics offer state of the art SAS training courses. They are a premier SAS training institute that caters to the needs of their students round the clock.

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