Bootcamps

Bootcamp courses are designed to prepare participants for multiple job roles and international certifications. These programs contain industrial case studies which helps participants in solving real life industry problem using SAS software.

 

Data science - Basics

SAS Business Analytics along with visual analytics brings in the capability to support the business and management with clear and insightful analyses on the data at hand. This includes data mining skills, advanced modelling techniques, business visualizations testing and creating and explaining results in clear and concise reports.

Who should attend: Aspirants who want to become Business analysts /experts, Business Visualization Analysts or experts and build a strong SAS programming foundation to manipulate data, perform queries and analyses, and generate analytical insights. Additionally, wants to access the power of SAS for analysis for complex business problems through data mining and predictive modelling using the point-and-click interface.

Prerequisites: Flair of any programming language is preferred however not necessary. Candidates with Engineering/MBA/MCA /Science/ Statistics degree or Analytics experience preferred.


Course Details:




Data scientist program using Structured Big Data
SAS Business Analytics along with visual analytics brings in the capability to support the business and management with clear and insightful analyses on the data at hand. This includes data mining skills, advanced modelling techniques, business visualizations testing and creating and explaining results in clear and concise reports. The course enables somebody to become data scientist with skill set involving big data handling skills, statistical, mathematical, predictive modelling skills as well as business strategy skills to build the analytical applications enabling the ability to ask the right questions and find the right answers.

Who should attend: Aspirants who want to become Business analysts /experts, Business Visualization Analysts or experts and build a strong SAS programming foundation to manipulate data, perform queries and analyses, and generate analytical insights. Additionally, wants to access the power of SAS for analysis for complex business problems through data mining and predictive modelling using the point-and-click interface.

Prerequisites: Flair of any programming language is preferred however not necessary. Candidates with Engineering/MBA/MCA /Science/ Statistics degree or Analytics experience preferred.


Course Details:



Data scientist program for Unstructured Big Data

SAS Business Analytics along with visual analytics brings in the capability to support the business and management with clear and insightful analyses on the data at hand. The data can come from any source and in any form. Large volumes of data in unstructured form like textual data can be analysed with great ease. This skill set imparted includes big data handling skills, data mining skills, text mining skills, advanced modelling techniques, business visualizations testing and creating and explaining results in clear and concise reports. The course enables somebody to become data scientist with skill set involving statistical, mathematical, predictive modelling skills as well as business strategy skills to build the analytical applications enabling the ability to ask the right questions and find the right answers.

Who should attend: Aspirants who want to become Business analysts /experts, Business Visualization Analysts or experts and build a strong SAS programming foundation to manipulate data, perform queries and analyses, and generate analytical insights. Additionally, wants to access the power of SAS for analysis for complex business problems through data mining and predictive modelling using the point-and-click interface and statistically analyze, interpret business data for a broad range of applications. And learn how to provide structure to the unstructured text – with known, defined categories, extraction of facts, topic themes and a host of other measures – all of which can all be used to make decisions about the content.

Prerequisites: Flair of any programming language is preferred however not necessary. Candidates with Engineering/MBA/MCA /Science/ Statistics degree or Analytics experience preferred.


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Big Data Visualization

SAS Visual Analytics help people see things that were not obvious to them before. Even when data volumes are very large, patterns can be spotted quickly and easily. Visualizations convey information in a universal manner and make it simple to share ideas with others. It lets people ask others, “Do you see what I see?” And it can even answer questions like “What would happen if we made an adjustment to that area?”

Who should attend: Aspirants who want to become Business Data Visualization analysts /experts and build a strong SAS programming foundation to manipulate data, perform queries and analyses, and generate reports. Additionally, wants to access the power of SAS for analysis and report generation on big data using the point-and-click interface.

Prerequisites: No particular prerequisites. Flair of any programming language is preferred however not necessary.


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Big Data Management

SAS Big data management is the organization, administration and governance of large volumes of data. Corporations, government agencies and other organizations employ big data management strategies to help them contend with fast-growing pools of data. SAS enables faster management of the data processes enabling faster delivery of analytics goals.

Who should attend: Aspirants who want to become Big Data Manager and build skills to build a data warehouse and/or data mart for business intelligence and big data analytics applications.

Prerequisites: Flair of any programming language is preferred however not necessary. Candidates with experience in Data Management preferred.


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Big Data Management with Data Quality

SAS Data Quality and Integration enables faster and efficient data management process to enable high speed analytics. SAS Big Data management enables the organization, administration and governance of large volumes of data. Corporations, government agencies and other organizations employ big data management strategies to help them contend with fast-growing pools of data.

Who should attend: Aspirants who want to become Big Data Manager and build a strong SAS programming foundation to manipulate data, perform queries and analyses, and generate reports. Aspirants who want to develop skill set for building data warehouse and/or data mart while ensuring a high level of data quality and accessibility for business intelligence and big data analytics applications and deliver data to the right place, at the right time, in the right form, to the right person.

Prerequisites: Flair of any programming language is preferred however not necessary. Candidates with experience in Data Management preferred.


Course Details:



Big Data Management with Visualization
SAS Visual Analytics provides administration and governance of information and insights through self-service analytics leading to business benefits by analyzing large volumes of data. Corporations, government agencies and other organizations employ big data management strategies to help them contend with fast-growing pools of data. While Visualizations help people see things that were not obvious to them before. Even when data volumes are very large, patterns can be spotted quickly and easily. Visualizations convey information in a universal manner and make it simple to share ideas with others.

Who should attend: Aspirants who want to become Business Data Visualization analysts /experts and build a strong SAS programming foundation to manipulate data, perform queries and analyses, and generate reports. Additionally, wants to access the power of SAS for analysis for Data Integration and report generation on big data using the point-and-click interface.

Prerequisites: Flair of any programming language is preferred however not necessary. Candidates with experience in Data Management preferred.


Course Details:


 


Big Data Analytics

SAS Business Analytics brings in the capability to support the business and management with clear and insightful analyses on the data at hand. This includes data mining skills, advanced modelling techniques, testing and creating and explaining results in clear and concise reports.

Who should attend: Aspirants who want to become Business analysts /experts and build a strong SAS programming foundation to manipulate data, perform queries and analyses, and generate analytical insights. Additionally, wants to access the power of SAS for analysis for complex business problems through data mining and predictive modelling using the point-and-click interface.

Prerequisites: Flair of any programming language is preferred however not necessary. Candidates with Engineering/MBA/MCA /Science/ Statistics degree or Analytics experience preferred.


Course Details: