SAS Programming Language is defined as the science of data-driven decision making. Technology can bring us from raw data to structured readable data; it even predicts many solutions to a problem. But it is ultimately the call of humans to make the final decision. It uses the repetitive and procedural exploration of past data to handle business decisions.Enroll your Data Science With SAS Training Course and Certification with ACTE. Start Learning with us ACTE Data Science With SAS Classroom and Online Training Course.
Data Science With SAS is very useful for career. Data Science has become a revolutionary technology that everyone seems to talk about. Hailed as the ‘sexiest job of the 21st century’, Data Science is a buzzword with very few people knowing about the technology in its true sense. While many people wish to become Data Scientists, it is essential to weigh the pros and cons of data science and give out a real picture. In this article, we will discuss these points in detail and provide you with the necessary insights about Data Science.
Data Science is one of the most highly paid jobs. According to Glassdoor, Data Scientists make an average of $116,100 per year. This makes Data Science a highly lucrative career option.
Data Science With SAS, have great scope, Scope is high as I can see from news and media…But still their is always a risk involved in everything you do or opt.
Valuable! But really depends how you have earned them. If you have really invested the effort in learning and reading for that certificate then it is worth and you know there are other ways of getting those. Have come across people who are certified and do not know the basics.
Even as a fresher, you can get a job in Data Science With SAS domain. Well to get you started with Data Analytics, the answer would be Yes R and SAS are sufficient. But on the long run definitely a big no no. You must understand Data Analytics is a very versatile field and the amount of data generated is different for different organisations. The sources that generate this data differ.
We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings for Data Science With SAS. Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.
The program you signed up for is US only, but we can make exceptions if the other country agrees that payment may be made with your SAS Training Points. Please be aware that pricing for training varies greatly outside the US, and there is no guarantee of receiving a discount. Contact your education account representative to assist you with this request.
- SAS Base Programming.
- SAS SQL Programming.
- Any programming language experience is must.
- Good knowledge of mathematics.
- Good analytical skills.
- Writing logic for detecting patterns and trends.
It is absolutely possible to learn Data Science without a computer science or mathematics background. It is also possible to get a job. There are three main Data Science skills that one must be required these are programming, statistics and business knowledge.
Our course ware is designed to give a hands-on approach to the students in Data Science With SAS. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
Yes It is worth , Absolutely. Well, the point is nothing you learn is waste. SAS is a pretty good deal these days. Learn SAS and further you can aim for data science and as you know we are dealing with immense data these days. Data is flowing like anything and every single bit is important in its own sense. So future generations needs some kind if technology to handle this immense data and SAS is pretty much good in handling huge data volumes. So you can take a risk and go for it.
You might be surprised by how quickly you can learn SAS. The entry-level SAS Programming 1: Essentials course is only two days long, while the Statistics 1 course is three days long (both are available as free e-learning courses). You’ll need to factor in some practice time, and you may want to supplement your learning with free video tutorials or books for novice users – but overall it’s a fairly quick process.
- If you know SAS, you are in demand.
- It is one of the best in handling data.
- With deep knowledge you can manipulate the functionalities.
- You are powered by an efficient customer service facility.
- SAS follows the global lead.
Why is SAS Programming Language with data science?
SAS Programming is a language used for analytical use. It is used for a very long time. All major companies use SAS as their official language for analysis. It’s due to its features and edge points that SAS is a very preferred tool. It has a huge job market too. There are many reasons for which SAS is preferred over R programming language and Python. But it is also true that there are some limitations of SAS that are overcome by R and Python.
ADVANTAGES OF SAS TRAINING WITH DATA SCIENCE:
1. Easy to learn
SAS syntax is very easy to learn. It can be learned easily by anyone without any programming skills. Coding is in the form of simple statements. It’s like instructing a machine what to do.
2. Ability to handle large database
SAS has a strong ability to handle large databases very easily.
3. Easy to debug
SAS is a very comprehensible language. The process of debugging is easy. We can understand and correct the error that the log window clearly states.
4. Tested algorithms
Developers thoroughly test and analyze the algorithm implemented in the SAS program. Every version of SAS is first tested in a controlled environment, before released. This is possible because SAS is a closed source language.
- SAS Customer support
SAS belonging to an organization performs proper monitoring. It is like a complete organization. It has very spontaneous customer support. As SAS is a closed source tool, it can only be edited by the SAS organization. No external adulteration is possible. SAS customer support handles all the problems.
6. Data Security
Extending the above point, data in SAS is completely secured. We cannot extract, in case of office use without a license. Data security prevents it from manipulation. And this is the reason for its popularity in the corporate world. SAS is a primary tool for many big companies. Being a close source, the company’s data is confidential here. Only freelancers use R. It is open source, therefore, data security is not guaranteed. SAS is preferred professionally over any other language used for analysis.
7. SAS GUI
SAS is one such language that has made statistical computing easier for non-programming users. It has an amazing Graphical User Interface (GUI). SAS user interface has various tools like graphs, plots, and a highly versatile library.
8. Nice Output
SAS has evolved over a long period of time. It has a nice formatted output, one which is easily comprehensible.
9. Huge Job Prospects
The fact why SAS is being used for a very long time in the industry is the huge job prospects. Professionals learn SAS as a prerequisite to enter the analytics industry. One who commands SAS can learn R and Python easily. It is the market leader in the analytics industry.
