# Introduction to Management Analysis Course (Self-Paced)

Canonical URL: <https://www.graduateschool.edu/courses/introduction-to-management-analysis-course-self-paced>

## Overview

Have you wondered what Management Analysts do? Are you involved in management analysis work? Are you planning a study that includes assessing data? This course describes the management analyst role and reviews core tools and techniques used by analysts. Participants actively engage with others to review elements of an analytical study, review basic statistics, analyze data, develop instruments to collect data, and discuss tips for presenting data findings. Multiple class exercises are used to provide a solid foundation in management analysis.

## What you'll learn

- Describe the role and function of the management analyst.
- Apply analytical practices when assessing problems and making decisions.
- Develop a plan to perform an analytical study.
- Describe key elements of an effective data presentation.
- Develop performance measures.
- Discuss the value of statistical sampling.

## Curriculum

**Module 1: The Role of Management Analyst**

- Define the responsibilities and functions of a management analyst.
- Identify typical projects and scenarios analysts are involved in.
- Explore the skills and core competencies required for effectiveness in the role.
- Differentiate between staff and line roles in management analysis.

**Module 2: Thinking Like an Analyst**

- Apply structured approaches to define and analyze organizational problems.
- Use frameworks like problem description and fishbone diagrams to identify causes.
- Practice ordinal ranking to evaluate decision alternatives.

**Module 3: Designing an Analytical Study**

- Understand the purpose and process of management analysis studies.
- Develop clear research questions aligned with management concerns.
- Create detailed project plans with tasks, timelines, and data sources.

**Module 4: Understanding Data**

- Differentiate between primary and secondary data sources.
- Identify types of measurement scales and use operational definitions.
- Apply content analysis techniques to analyze textual data.

**Module 5: Statistical Thinking**

- Calculate and interpret descriptive statistics like mean, median, and mode.
- Construct and analyze frequency distributions and contingency tables.
- Use inferential statistics and confidence intervals to estimate population values.

**Module 6: Collecting Primary Data**

- Design observation methods for both human behavior and physical settings.
- Develop effective interview and questionnaire tools.
- Understand the strengths and limitations of each data collection method.

**Module 7: Analyzing Secondary Data and Presenting Findings**

- Plan and execute the analysis of secondary data sources.
- Develop and deliver a final report and presentation of findings.
- Review best practices for study closeout and documentation.

## Pricing

**Tuition:** $1429