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Is SAS needed for data science?
Nevertheless, R is a must have tool for aspiring data scientists even if you start with Python. SAS is customized for business requirements and is used heavily by large scale companies. This makes SAS a specific language for business intelligence needs.
How do I become a SAS data scientist?
There are three general steps to becoming a data scientist:
- Earn a bachelor’s degree in IT, computer science, math, business, or another related field;
- Earn a master’s degree in data or related field;
- Gain experience in the field you intend to work in (ex: healthcare, physics, business).
How do you answer why do you want to learn data science?
Here are the reasons that will surely convince you to make a career in Data Science:
- A fuel of 21st Century. In the last century, oil was considered as the ‘black gold’.
- Problem of Demand & Supply.
- A Lucrative Career.
- Data Science can make the World a Better Place.
- Data Science is the Career of Tomorrow.
Do you need to know R to be a data scientist?
In-depth knowledge of at least one of these analytical tools, for data science R is generally preferred. In fact, 43 percent of data scientists are using R to solve statistical problems. However, R has a steep learning curve. It is difficult to learn especially if you already mastered a programming language.
What do you learn in Data Science in SAS?
Designed for data scientists, this program covers SAS topics for data curation techniques, including big data preparation with Hadoop. Expand your analytical skill set by learning predictive modeling, text analytics, experimentation and optimization techniques.
Should I Learn your or Python for data science?
While R will take some time for you to gain proficiency, Python provides an easier learning curve that is best suited for beginners who are not only newbies in data science but also in programming. Since Python is a versatile language, you can use it for developing web-applications as well.
How do I get a SAS certification for big data?
Required Exams. Candidates who earn this credential will be required to have earned the SAS Certified Big Data Professional and SAS Certified Advanced Analytics Professional credentials by passing all five exams. Select an exam to see the full content for each.
What is the difference between SAS and R?
R is limited only to packages of statistical modeling. However, the visualization packages of R such as ggplot2, Lattice, RGIS are much more diverse and visually aesthetic. SAS on the other hand, provides a wide variety of Business Intelligence, Statistical, and analytics tools.