Certified Data Scientist – SAS and Excel Training – Simplilearn

Business Analytics and SAS training by Simplilearn is designed to provide a comprehensive overview of business analytics using SAS. This training is aimed to help aspiring data analysts to gain hands on experience in SAS software with knowledge of statistical modeling.

By the end of this course, participants are expected to become technically competent in data analytics methods like reporting, clustering, predictive modeling & optimization to manage the voluminous data.

Who should go for this course?

This course is best suited for students and professionals keen to enter the field of data analytics and work as a data scientist or a business analyst professional in near future.

Pre-requisites:

Though there are no specific pre-requisites, individuals with a bent in logical reasoning and good mathematical skills will find the course suitable.

What are the career benefits in-store for you?

Certified data scientists start with a higher salary and have better growth prospects than in their current role. Statistics from KDNuggets show that there is a tremendous salary increase by 50% and 13% in Asia and rest of the world respectively. According to Indeed.com, Certified SAS data scientists earn an average $97, 000 and are most sought-after in Fortune 500 companies. Being a data scientist opens up a plethora of career opportunities in almost every industry and vertical. Possessing this coveted skill makes it easier for an aspirant to switch to his/her industry or function of choice.

What learning benefits do you get from Simplilearn’s training?

Simplilearn’s training imparts immense learning benefits with a clear focus on the vital concepts of Business analytics, SAS and Excel.

Participants at the end of our training in Analytics using SAS and Excel will be able to:

• Work on data exploration, data visualization and predictive modeling techniques with ease.
• Gain fundamental knowledge on Analytics and how it assists in decision making.
• Understand and work on statistical concepts like linear & logistic regression, cluster analysis and forecasting.
• Write SAS codes on SAS platform.
• Develop a structured approach using statistical techniques on SAS platform.
• Perform sharp data analysis to make business decisions

Duration: 180 days access

FEES: Starting from RS.8, 999

Though there are no specific pre-requisites, individuals with a bent in logical reasoning and good mathematical skills will find the course suitable

• SAS