Data Science using SAS

Innovians Technologies has brought you a comprehensive training in Data Science using SAS. SAS provides a lot of tools specifically for Data Science. SAS has been ranked no. 1 in advanced and predictive analytics market share according to IDC report.

Data Science is the field of study that combines domain expertise, programming skills, and knowledge of math and statistics to extract meaningful insights from data. SAScontinues to dominate the advanced analytics market and hence exploring various SAS libraries and tools help you tackle each stage of Data Science, particularly Data Analytics.

Areas where Data Science with SAS is required

Any platform which is involves data, require Data Science for extracting meaningful information from the data collected. Data Science helps in making informed decisions which helps in increasing profits. Gathering insights from the data, Data Science help business professionals in growing their business.

Applications of Data Science using SAS

• Helps in fraud detection, management of customer data risk modelling, real-time predictive analytics, customer segmentation etc.
• Data Science enables banks to keep up with the competition
• SAS provides multivariate analysis
• Share Markets use Data Science to predict profit or loss rate
• Natural Language Processing (NLP) is one of the finest applications of Data Science
• SAS has played a revolutionary role in the field of medicine. It is used to monitor whether the patients are at risk
• Key role in automating a lot of financial tasks
• One of the great applications of Data Science using SAS is self-driving cars
• Used by financial institutions for predictive analysis
• Provides data insights which further help in improving customer experience for users
• Helps industries in monitoring their energy costs, hence supporting them in enhancing their production environment

Who can get Benefits from this Training?

• IT Professionals
• Analytics Managers
• Data Scientists
• Business analysts
• Marketing Managers
• Statistics Analysts
• Those wanting to use R for effective analysis of large datasets
• Those Interested in the field of data science
• Those looking for a more robust, structured R learning program
• Those wanting to use R for effective analysis of large datasets