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            Tools of Data Analysis

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            Professional Credits:

            CEU: 0.5
            HRCI: 5
            PDU: 5
            SHRM: 5

            $139

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            Completion Time

            5 hours

            Access Time

            90 Days

            Outcome

            Individual Skill Course

            Language

            English

            Training Level

            Intermediate

            Delivery Information:

            Online Asynchronous Self-paced

            Description

            There are a number of statistical tools and techniques that are commonly used by organizations to inform decision-making. These tools span numerous business functions and support many different objectives. This intermediate-level training course describes, evaluates, and analyzes different statistical techniques and their real-world limitations and benefits. The course features crossover analysis, break-even analysis, cluster analysis, decision tree analysis as well as an introduction to regression.

            This Tools of Data Analysis course is offered in collaboration with the trusted learning partner MindEdge.

            Learning Outcomes

            After completing this course, the learner should be able to:
            • Describe linear programming as finding the "best" solution to a problem
            • Explain how crossover analysis is utilized in decision making
            • Explain the factors and assumptions involved in break-even analysis
            • Apply the standard deviation rule to a special case of normal distributions
            • Interpret the results of an ANOVA test
            • Describe the various forecasting techniques and the benefits and limitations
            • Identify regression analysis applications for purposes of description and prediction
            • Describe other statistical techniques (time series analysis, cluster analysis, decision trees) and their real-world application
            • Explain the advantages and disadvantages of various statistical techniques
            • Choose a statistical technique based on a brief case study

            Additional Information

            This course includes an “Ask the Expert” feature. You can use this feature to submit questions about course content. A subject matter expert will provide guidance or point you to additional resources for the topics you’re studying. Questions are answered as quickly as possible and usually within 24 hours.

            Learners must achieve an average test score of at least 70% to meet the minimum successful completion requirement and qualify to receive IACET CEUs.

            Requirements

            Technology Requirements

            Hardware Requirements: This course can be taken on either a PC, Mac, or Chromebook.

            Software Requirements: Software must be installed and fully operational before the course begins.

            • PC: Windows 8 or later.
            • Mac: macOS 10.6 or later.
            • Browser: The latest version of Google Chrome or Mozilla Firefox are preferred. Microsoft Edge and Safari are also compatible. Cookies and JavaScript must be enabled
            • The latest Adobe Reader/Acrobat Reader ( free download available at https://get.adobe.com/reader/ )
            • Any modern Office suite: Microsoft Office, Apple iWork, OpenOffice, or LibreOffice
            Other:
            • Reliable internet connection. Broadband cable or highspeed DSL is recommended for optimal experience.
            • E-mail account (to be able to register and to receive e-mail from the course system regarding registration, course status, etc.)

            Reviews

            "This course is very interesting, which will help me in my professional life. Thanks to these methods and statistical concepts, we can make the correct decisions, which will allow us to improve and move forward in the marketing of the business"

            Karim S.

            "Excellent course, explaining tools of data analysis. Practical learning using Excel and add-ins."

            Shahzad S.

            "It was a great course to understand tools of data analysis."

            Sumair K.

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            $139

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