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Team Analyzing Data

Data Analysis for Improving Organizational Performance

To improve organizational performance through data analysis, it's crucial to use engaging tools that bring data to life. This intermediate course covers key tools and frameworks, specific measurements, and the relationship between assessment and strategy, highlighting how the right tools can drive staff engagement and performance improvement.

Credits:

  • 5 PMI PDUs
    • 2 Ways of Working PDUs
    • 3 Business Acumen PDUs
  • 5 HRCI Credits
  • 5 ATD CI Credits
  • 0.5 IACET CEUs
  • 5 SHRM PDCs

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Data Analysis in the Real World

This course covers data-driven decision-making in sectors like healthcare, education, and government, offering analytics-based recommendations for each. Starting with an introduction to Big Data, it delves into its sector-specific implications.

Credits:

  • 5 HRCI Credits
  • 5 ATD CI Credits
  • 0.5 IACET CEUs
  • 5 SHRM PDCs

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Introduction to Business Analysis

Business analysis involves identifying needs, designing solutions, and solving business problems. This introductory course covers essential principles and concepts in six key areas: needs assessment, stakeholder engagement, requirements elicitation, analysis, tracing and monitoring, and solution evaluation, providing terminology, tools, techniques, and expert insights from practitioners. While not an official exam prep course, it offers substantial content beneficial for individuals preparing for PMI-PBA or IIBA-CBAP certification exams, including over 170 practice questions.

Credits:

  • 18 PMI PDUs
    • 6 Ways of Working PDUs
    • 4 Power Skills PDUs
    • 8 Business Acumen PDUs
  • 25 HRCI Credits
  • 25 ATD CI Credits
  • 2.5 IACET CEUs

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Introduction to Data Analysis

Professionals across industries rely on data to enhance decision-making, reducing reliance on instincts and experience. This course introduces the Davenport-Kim three-stage model for quantitative analysis, covering analytical methods, data management, visualizations, research standards, best practices, and challenges in data analysis, empowering you to grasp data's significance in business.

Credits:

  • 5 PMI PDUs
    • 2 Ways of Working PDUs
    • 2 Power Skills PDUs
    • 1 Business Acumen PDUs
  • 5 HRCI Credits
  • 0.5 IACET CEUs
  • 5 SHRM PDCs

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Statistical Process Control

Statistical Process Control aims to enhance quality, delivering value to customers and stakeholders while enabling data-driven decision-making for competitive advantage. This intermediate course covers quality management basics, distinguishing between quality control and assurance, applying analytical methods, exploring the Seven Basic Quality Tools, and illustrating concepts through a brief case study.

Credits:

  • 5 PMI PDUs
    • 2 Ways of Working PDUs
    • 2.5 Power Skills PDUs
    • 0.5 Business Acumen PDUs
  • 5 HRCI Credits
  • 5 ATD CI Credits
  • 0.5 IACET CEUs
  • 5 SHRM PDCs

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Man presenting data

Statistics as a Managerial Tool

Managing effectively today demands more than instincts alone due to vast data and business complexities. This intermediate course explores statistics as a managerial tool, emphasizing graphical representations to clarify situations and support persuasive decision-making.

Credits:

  • 5 PMI PDUs
    • 1.5 Ways of Working PDUs
    • 1 Power Skills PDUs
    • 2.5 Business Acumen PDUs
  • 5 HRCI Credits
  • 5 ATD CI Credits
  • 0.5 IACET CEUs Credits
  • 5 SHRM PDCs

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Two people looking at data on computer screen

Tools of Data Analysis

Organizations commonly employ a variety of statistical tools across different business functions to enhance decision-making. This intermediate course covers techniques like crossover analysis, break-even analysis, cluster analysis, decision tree analysis, and regression, evaluating their practical benefits and limitations.

Credits:

  • 5 PMI PDUs
    • 2.5 Ways of Working PDUs
    • 1.5 Power Skills PDUs
    • 1 Business Acumen PDUs
  • 5 HRCI Credits
  • 5 ATD CI Credits
  • 0.5 IACET CEUs
  • 5 SHRM PDCs

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