The point is how to import an excel file into SAS. Step by step process given on reading Excel file into SAS and writing Excel file from SAS. SAS vs Excel Files Reading an Excel file into SAS Suppose that you have an Excel spreadsheet called auto.xlsx. The data for this spreadsheet is shown below: MAKE MPG WEIGHT PRICE AMC Concord 22 2930 4099 AMC Pacer 17 3350 4749 AMC Spirit 22 2640 3799 Buick Century 20 3250 4816 Buick Electra 15 4080 7827 Import Wizard Using the Import Wizard is an easy way to import data into SAS. The Import Wizard can be found on the drop-down file menu. Although the Import Wizard is easy it can be time-consuming if used repeatedly. The very last screen of the Import Wizard gives you the option to save the statements SAS uses to import the data so that they can be used again. The following is an example that uses common options and also shows that the file was imported correctly. PROC IMPORT OUT= WORK.auto1 DATAFILE= "C:\auto.xl" D

The below-listed topics help you get a solid footing in Excel Analytics. Just practice these 10 topics step by step and by completing all, you will be an expert in Excel. 10 Top Excel Topics Tables in Excel  Grabbing data from external sources  Cleaning data with functions  Working with Pivot tables  Writing Formulae for Pivot tables  Pivot Charts  How to use database functions  How to use statistics  Inferential Statistics  Descriptive statistics Also Read : 5 Tips why macros need in Excel

IoT in insurance is a connected car which helps transforming how insurance premiums can be calculated. With the help of a small wireless device that plugs into the diagnostic port, Metromile offers a “per-mile” usage-based insurance. Often, low-mileage drivers overpay for insurance because they’re subsidizing those who drive the most. Insurance Calculation But since the number one risk indicator for drivers is time on the road, Metromile can offer insurance pro-rata by tracking the miles driven. #Mile-based insurance an application of IoT: According to wiki: Usage-based insurance (UBI) -also known as pay as you drive (PAYD) and pay how you drive (PHYD) and mile-based auto insurance   is a type of vehicle insurance whereby the costs are dependent upon the type of vehicle used, measured against time, distance, behavior, and place. This differs from traditional insurance, which attempts to differentiate and reward "safe" drivers, giving them lower premiums and/or a

IoT and multimedia technologies have made their entrance into the healthcare field thanks to ambient-assisted living and telemedicine. ... Role of Smart Devices Smart devices, mobile Internet, and Cloud services contribute to the continuous and systematic innovation of Healthcare and enable cost-effective, efficient, timely, and high-quality ubiquitous medical services. Skills You  Need  Data Analytics  Cloud Computing  Security  Smart Device "Pervasive healthcare applications generate a vast amount of sensor data that have to be managed properly for further analysis and processing." The adoption of Cloud in this scenario leads to the abstraction of technical details, eliminating the need for expertise in, or control over, the technology infrastructure, and it represents a promising solution for managing healthcare sensor data efficiently. It further makes mobile devices suited for health information delivery, access, and communication, also on the go, enhancing medical

I want to share with you the best real-time examples on machine learning.  Because of new computing technologies, machine learning today is not like machine learning of the past.  While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data – over and over, faster and faster – is a recent development. Machine learning use cases The heavily hyped, self-driving Google car? The essence of machine learning.  Online recommendation offers like those from Amazon and Netflix? Machine learning applications for everyday life.  Knowing what customers are saying about you on Twitter? Machine learning combined with linguistic rule creation.  Fraud detection? One of the more obvious, important uses in our world today. Best example : "pattern recognition" is best example for Machine Learning Related: Take Quiz on Machine Learning Where can you apply machine learning. 

Technology and digital marketing-related skills are in huge demand as e-commerce companies have got big-ticket investments. IT Skills for e-comm jobs Technologies in Demand Domestic consumption of technology, especially in mobile telephony, is on the rise.  The traditional IT services sector is likely to see a spurt in hiring as demand revives in Europe, along with expected economic turnaround at home. Hot in Demand IT areas According to Teamlease, this category will provide opportunities for a wide range of people: beginning with IT infrastructure managers mobile developers on IOS, Android, and Windows languages like Python, Ruby on Rails, HTML, and CSS  IT security cloud computing professionals. Experience developing applications using technologies such as Java, Node.js, HTML5, JavaScript, SpringBoot, Tomcat, and Selenium.

Data engineers need the following skills. These skills help you get nice job in any analytics company. Photo Credit: Srini Five Top Skills Need Skill-1 Experience working with big data tools such as MapReduce, Pig, Spark, Kafka and NoSQL data stores such as MongoDB, Cassandra, HBase, etc. Skill-2 Expertise in multi-structured data modeling, reporting on NoSQL & structured database technologies such as HBase and Cassandra, SQL. Skill-3 Experience with languages such as Python, Perl, Ruby, Java, Scala, R etc. Skill-4 Strong data & visual presentation skills and ability to explain insights using tools like tableau, D3 charts or other tools. Skill-5 Basic knowledge and experience of statistical analysis tools such as R.

What is artificial intelligence Key differences of Human and Artificial  Intelligence Human Intelligence: A leading researcher in human intelligence, suggests ``as a heuristic hypothesis'' that all normal humans have the same intellectual mechanisms and that differences in intelligence are related to ``quantitative biochemical and physiological conditions''. I see them as speed, short term memory, and the ability to form accurate and retrievable long term memories. Artificial Intelligence: Computer programs have plenty of speed and memory but their abilities correspond to the intellectual mechanisms that program designers understand well enough to put in programs. Some abilities that children normally don't develop till they are teenagers may be in, and some abilities possessed by two year olds are still out. The matter is further complicated by the fact that the cognitive sciences still have not succeeded in determining exactly what the human abilitie

While the debate over the value of a computer science degree rages on, these programming leaders emphasize the importance of a well-rounded education, with plenty of time spent studying subjects beyond the console. The biggest challenges in life do not have technical fixes," Eich says, "so it's important to study history, literature, art, and other kinds of human knowledge than anything to do with computers. Hickey agrees, placing programming into a broader perspective. "Programming is a very new endeavor in the historical scheme of things," he says. "One shouldn't presume that we understand how best to pursue it. 1# Tips to become a programmer " Instead, Hickey suggests pursuing other educational interests to help understand the kinds of problems programming can solve."The best programmers are those that can understand, communicate about, and solve problems in the domains they are in," he says. "Software is just a tool for t

The process of developing AI applications you need different skills. Acquire the knowledge and skills for developing various intelligent information systems through a basic grasp of computer science and information processing technology. Courses : Computer programming, data structure and algorithms, programming for systems design, object-oriented programming, computer systems, mathematical logic, automata and language theory, logical circuit, computer networks, etc. Develop a novel technique of intelligent information processing in which computers collaborate with human beings, by learning various technologies in intelligent information processing. Courses : Basis of AI, AI programming, AI system design, logic and proofs, inference and learning, knowledge base, natural language processing, pattern understanding, computer vision, computer graphics, etc. Master the fundamentals of mathematics and natural science. Courses : Linear algebra, analysis, discrete mathematics, probabil

Mainframe developers look for an alternative IT course to grow in their careers.  I have explained in this post how can they use their business knowledge. Data analytics tutorial  is a top an alternative for COBOL programmers . What is Data Analytics The field of data science is evolving into one of the fastest-growing and most in-demand fields in the world.  Organizations across industries are looking to make sense of the data they can now collect from new technologies – from predicting the next hot product to determining the risk of an infectious disease outbreak. Demand and Opportunity According to The New York Times, data science “promises to revolutionize industries from business to government, health care to academia.” As data accumulates, organizations are hiring individuals with the expertise to find meaning in the numbers and drive positive business decisions based on what they learn. It is estimated that by 2018, 4 million to 5 million jobs in the Unit

IOT Project IoT provides networking to connect people, things, applications, and data through the Internet to enable remote control, management, and interactive integrated services. IoT network scale, how large is it? Well, you have to think of this. The number of mobile devices exceed the number of people on Earth. In addition, predictions are made that there will be 50 billion 'things' connected to the Internet by 2020. So therefore, Internet of Things, this study is so important.  IoT Service Support. Some advanced IoT services will need to collect, analyze, and process segments of raw sensor information, raw sensor data, and we need to turn this into operational control information. Some sensor data types may have massive sizes, because the number of sensor IoT devices are so large.  #Introduction to Elecronic circuit analysis Also Read :   Project and Training on Io T So we need a platform that can collect and store all of this massive amount of

Why IOT skill you need: There are currently 18.2 billion connections to the internet throughout the world, and this will increase to 50 billion by 2020. The amount of data being transmitted via these connections has grown from 3ZB (3,000,000,000,000,000,000,000 bytes) in 2010 to 10ZB (10,000,000,000,000,000,000,000 bytes) this year, and it is predicted to reach 40ZB (40,000,000,000,000,000,000,000 bytes) by 2020. New Type of Skills Internet of everything has the potential to reach $19 trillion of value by 2022, and it "has the potential to grow global corporate profits by 21% in 2022".It's exponentially increasing. In a smart city, "every single sector has to get technology fluent and it has to get digital fluent to drive long-term prosperity,". This is an issue that both the public and private sectors need to get behind and to transform how they think and how to get people ready for the jobs to solve these problems. "We need new types of skills , ne