Course Data Science with SAS Certification Training

Simplilearn

Program Description

Course Data Science with SAS Certification Training

Simplilearn

Key features

  • 32 hours of instructor-led training
  • 24 hours of self-paced video
  • 4 real-life industry projects on customer segmentation, retail analysis etc.
  • Learn SAS Macros and PROC SQL
  • Includes advanced statistical concepts on regression, clustering, and forecasting
  • Includes a free SAS Base Programmer course

Course description

What’s the focus of this course? The data science with SAS certification training is designed to impart an in-depth knowledge of SAS programming language, SAS tools, and various advanced analytics techniques. The training provides a solid base for implementing these techniques. The course is packed with real-life projects and case studies to give a hands-on and practical experience to the participants. Mastering SAS and related tools: The course covers PROC SQL, SAS Macros, and various statistical procedures like PROC UNIVARIATE, PROC MEANS, PROC FREQ, and PROC CORP. You will learn how to use SAS for data exploration and data optimization. Mastering advanced analytics concepts: The course also covers advanced analytics techniques like clustering, decision tree, and regression. The course covers time series, it's modeling, and implementation using SAS. As a part of the course, you are provided with 4 real-life industry projects on customer segmentation, macro calls, attrition analysis, and retail analysis. What are the course objectives? This course will enable you to:

  • Understand analytics, the various analytic techniques, and the widely used tools
  • Gain an understanding of SAS, the role of GUI, Library statements, importing and exporting of data and variable attributes
  • Gain an in-depth understanding of statistics, hypothesis testing, and advanced statistical techniques like Clustering, decision trees, linear regression, and logistic regression
  • Learn the various techniques for combining and modifying datasets like concatenation, interleaving, one-to-one merging and reading. You will also learn the various SAS functions and procedure for data manipulation
  • Understand PROC SQL, its syntax, and master the various PROC statements and subsequent statistical procedures used for analytics including PROC UNIVARIATE, PROC MEANS, PROC FREQ, PROC CORP, etc.
  • Understand the power of SAS Macros and how it can be used for faster data manipulation and for reducing the amount of regular SAS code required for analytics
  • Gain an in-depth understanding of the various types of Macro variables, Macro function SYMBOLGEN System options, SQL clauses, and the %Macro statement
  • Learn and perform data exploration techniques using SAS
  • Understand various time series models and work on those using SAS
  • Model, formulate and solve data optimization by using SAS and OPTMODEL procedure

Who should take this course? There is an increasing demand for skilled data scientists across all industries that make this course suitable for participants at all levels of experience. We recommend this Data Science training especially for the following professionals:

  • Analytics professionals who want to work with SAS
  • IT professionals looking for a career switch in the fields of analytics
  • Software developers interested in pursuing a career in analytics
  • Graduates looking to build a career in Analytics and Data Science
  • Experienced professionals who would like to harness data science in their fields

Prerequisites: There are no prerequisites for this course. The free SAS Base Programmer course provides some additional coding guidance. What projects are included in this course? The course includes four real-life, industry-based projects. Successful evaluation of one of the following projects is a part of the certification eligibility criteria. Project 1: Attrition Analysis Telecommunication: Analyze 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. Project 2: Retail Analysis E-commerce: Forecast the sales based on the independent variables such as profit, quantity, marketing cost, and expenses using the regression model. Two additional projects have been provided for practice: Project 3: Data-driven Macro Calls Sales: Generate a list of all data sets in SAS which has sales-related information and pass it as the macro variable. Project 4: Customer Segmentation 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.

Exam & certification

How to get certified? To become a Certified Data Scientist with SAS, you must fulfill the following criteria:

  • Complete any one project out of the two provided in the course. Submit the deliverables of the project in the LMS which will be evaluated by our lead trainer
  • Score a minimum of 60% in any one of the three simulation tests

Note:

  • 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 i.e., completion of any one project and clearing the online exam with minimum score of 60% to become a certified data scientist

What do I need to do to unlock my Simplilearn certificate?

  • Complete 1 project and 1 simulation test with a minimum score of 60%.

Fees

Self-Paced Learning $ 399

  • 180 days of access to high-quality, self-paced learning content designed by industry experts

Online Classroom Flexi-Pass $ 599

  • 90 days of access to 3+ instructor-led online training classes
  • 180 days of access to high-quality, self-paced learning content designed by industry experts
This school offers programs in:
  • English


Last updated February 20, 2018
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This course is Online
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Open Enrollment
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Part time
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399 USD
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USA - USA Online
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Open Enrollment
USA - USA Online
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