SAS is the main analytics tool used by some of the largest KPOs (knowledge process outsourcing) - banks like Barclays, American Express etc., financial services organisations like GEO Money, consulting companies like Accenture and KPMG. There is an increasing demand for skilled data scientists across all industries that make this course suitable for participants at all levels of experience. During this training course you will learn analytics techniques using SAS data science tools. It will give you the necessary practical knowledge you can apply on your next data analysis job.
The SAS certification course will cover data manipulation and optimisation techniques; advanced statistical concepts like clustering, linear regression; how to combine data analysis methods, select statements and joins in SQL; and predictive modelling techniques.
No prior experience in data analytics or statistics is required to take this online training course. The free SAS Base Programmer course provides some additional coding guidance.
By the end of the course you will be able to understand:
12 months online access to accredited e-learning
The course will cover the following topics:
The SAS Certification training course includes five real-life, industry-based projects including Walmart demand prediction. Successful evaluation of one of the following projects is a part of the certification eligibility criteria.
Retail: Predict accurate sales for 45 stores of Walmart, one of the US-based leading retail stores, considering the impact of promotional markdown events. Check if macroeconomic factors like CPI, unemployment rate, etc. have an impact on sales.
Telecommunication: Analyse the employee attrition rate of a leading BPO company. The dataset is maintained for the attrition analysis, and it has records of employee id, retain indicator, sex indicator, relocation indicator, and marital status.
E-commerce: Forecast sales based on independent variables such as profit, quantity, marketing cost, and expenses using the regression model.
Two additional projects have been provided for practice:
Sales: Generate a list of all data sets in SAS which have sales-related information and pass it on as the macro variable.
Internet: Perform customer segmentation with RFM methodology on an e-commerce website’s customer data set. Segment customers based on frequency, recency, and monetary value.
The SAS certification is recommended for the following professionals:
To become a Certified Data Scientist with SAS, you must fulfill the following criteria:
When you have completed the course, you will receive a three-month experience certificate for implementing the projects using SAS.
It is mandatory that you fulfill both the criteria: completion of any one project and passing the online simulation exam with minimum score of 60% to become a certified data scientist