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Statistical Analysis System (SAS)


Course Description:

The Statistical Analysis System (SAS) is a software suite for advanced analytics, business intelligence, data management, and predictive analytics. It enables users to perform complex data manipulation and statistical analysis, offering tools for data mining, predictive modeling, and econometrics. Widely used in various industries, SAS enhances decision-making through comprehensive data analysis and visualization.


$ 900.00 $ 559.00

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Certification Overview

The Statistical Analysis System (SAS) certification validates expertise in using SAS software for data analysis and business intelligence. It covers skills in data management, advanced analytics, and predictive modeling. Recognized globally, SAS certification demonstrates proficiency in handling complex data and statistical tasks, enhancing career prospects in data-driven industries.

E-Course Duration: E-Course Duration: 30 to 35 Hours

Exam Information

  • The exam has 50 Multiple Choice Questions. To pass, you need to get 70% correct, which means getting at least 36 out of 50 questions right.

  • Tests are done online and supervised with a webcam. As long as you have good internet, you can take the test from anywhere and at any time.

  • The exam lasts fo sixty minutes (60 minutes).

  • During the exam conducted via ProctorU, you cannot use any outside sources of information. You will need to show identification proof.

  • If a candidate doesn't pass the exam on their second try, they must wait at least fourteen (14) days before trying again for the third time or any subsequent attempts. You can take the exam as many times as needed.

  • Statistical Analysis System (SAS) remains valid for a period of Three (3) years.

  • SAS® is a special symbol that belongs to GIPMC.

  • N/A

  • Note: The Statistical Analysis System (SAS)® Certification doesn't need you to complete an E-Course from the GIPMCBok portal, but we suggest doing it because many questions in the actual exam come from the E-Course.

Course Outline

Module 1 – Introduction

    • 1.1 Introduction to Business Analysis
    • 1.2 What is Business Analysis?
    • 1.3 Key concepts
    • 1.4 Knowledge Areas
    • 1.5 Systems/Software Development Life Cycle
    • 1.6 Techniques
    • 1.7 Underlying Competencies
    • 1.8 Business Analysis Information

Module 2 – Business Analysis

    • 2.0 Business Analysis Planning & Monitoring
    • 2.1 Plan Business Analysis Approach.
    • 2.2 Conduct Stakeholder Analysis.
    • 2.3 Plan Business Analysis Activities.
    • 2.4 Plan Business Analysis Communication.
    • 2.5 Plan Requirements Management Process.
    • 2.6 Manage Business Analysis Performance.

Module 3 – Elicitation

    • 3.1 Elicitation
    • 3.2 Preparation for Elicitation
    • 3.3 Conduct Elicitation Activity
    • 3.4 Document Elicitation Results
    • 3.5 Confirm Elicitation Results

Module 4 – Requirements Management and Communication

    • 4.1 Manage Solutions Scope and Requirements
    • 4.2 Manage Requirements Traceability
    • 4.3 Maintain Requirements for reuse
    • 4.4 Communicate Requirements

Module 5 – Enterprise Analysis

    • 5.1 Define Business Need.
    • 5.2 Assess Capability Gaps.
    • 5.3 Determine Solution Approach
    • 5.4 Define Solution Scope
    • 5.5 Define Business Case

Module 6 – Requirements Analysis

    • 6.1 Prioritize Requirements.
    • 6.2 Organize Requirements.
    • 6.3 Specify and Model Requirements.
    • 6.4 Define Assumptions and Constraints.
    • 6.5 Verify Requirements.
    • 6.6 Validate Requirements.

Module 7 – Solution Assessment and Validation

    • 7.1 Assess Proposed Solution
    • 7.2 Allocate Requirements
    • 7.3 Define Transition Requirements
    • 7.4 Validating Solutions

Target Audience

  • Business and systems analysts, consultants, managers, and team leaders work on understanding and managing requirements throughout the project cycle. They gather information from stakeholders to define what's needed or if their job involves solving, defining, or analyzing business problems.
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