Certified Management & Program Analyst Level II Certificate Program (Self-Paced)
IDPMGA2.CPSP

Self-paced certificate program for mid-career program analysts

Develop expertise in designing studies, analyzing data, and communicating insights for more advanced management analysis.

$5,349 Live Support Start anytime

This program includes

  • Project-based training from experts
  • 25 training videos
  • Answers from real instructors
  • Additional 1-on-1 mentoring outside of class
  • Proprietary workbooks included
  • Retake for free within 1 year
  • Verified digital certificate of completion
  • Learn at an accredited institution
  • Credits: 6.6 CEUs

Special Promotion: Attend the AI for Data Analytics Course for free as part of this certificate. Choose your date after you register for the program.

This certificate program is self-paced. For live online or in-person instruction, take Certified Management & Program Analyst Level II Certificate Program.

The Level II Management and Program Analysis Certificate Program is designed to build on foundational analytical skills and deepen participants’ expertise in data analysis, statistical techniques, and effective communication. This advanced program empowers learners to design analytical studies, use sophisticated analytical tools, and interpret complex data sets to inform decision-making. With a focus on data analysis and storytelling, participants will also refine their ability to present analysis results clearly, confidently, and persuasively. By completing Level II, participants will gain a comprehensive understanding of analytical methodologies, enabling them to convey their insights effectively to key stakeholders and enhance their impact in program and management analysis roles.

The program includes three levels of achievement with courses in analysis, technology, and communication. The Level I provides an introduction to management analysis and provides a foundation for working with data. Level II is designed to provide more intensive instruction in analysis and an analytical view to approaching work. Level III is focused on applying analytical skills.

Courses & Videos in This Certificate Program

Download Syllabus PDF

Unit 1 12 Hours

Inferential Statistics for Data Analysis Course (Self-Paced)

This intermediate self-paced course builds on descriptive statistics by covering inferential techniques for both categorical and quantitative data. Participants work through examples and exercises to understand hypothesis testing, estimation, and data-driven decision-making.

  • Describe statistical sampling and draw a random sample with an acceptable minimal sample size.
  • Determine statistical significance and test hypotheses for means and proportions.
  • Calculate the chi square value for frequency data.
  • Compare two sample means and two sample proportions.
  • Construct a scatter diagram and compute a correlation coefficient.
  • Calculate a regression equation and use it to predict a dependent variable.

Unit 2 12 Hours

Designing an Analytical Study Course (Self-Paced)

Learn to plan and design analytical studies using a proven, systematic framework that connects data, context, and recommendations. This self-paced workshop helps analysts develop well-structured research questions, design methodologies, and justify approaches for meaningful evaluation. Ideal for professionals developing studies in program evaluation or management analysis.

  • Develop a plan to conduct an analytical study.
  • Describe the major steps in an analytical study.
  • Evaluate methods to collect and analyze data.
  • Develop data collection instruments.
  • Identify project milestones for an analytical study.

Unit 3 12 Hours

Tools for Management Analysis Course (Self-Paced)

Learn structured analytical methods for decision-making, problem-solving, process modeling, and performance measurement in the federal workplace.

  • Apply analytical methods that support management decision-making.
  • Analyze organizational problems.
  • Create models that describe programs and work processes.
  • Select and define measures of organizational performance.

Unit 4 12 Hours

Data Analysis & Storytelling Course (Self-Paced)

Master the art of data storytelling by analyzing data, crafting narratives, and designing impactful visuals. This hands-on course equips participants with techniques to communicate data findings effectively to decision-makers.

  • Understanding the six key steps in an analytical study.
  • Developing questions and applying descriptive statistics for data analysis.
  • Creating and editing charts to enhance data visualization.
  • Communicating data findings through structured storytelling.
  • Designing presentations that combine data visualization and narrative techniques.

Unit 5 18 Hours

Speaking with Confidence Course (Self-Paced)

Learn to speak confidently in front of groups by mastering audience engagement, presentation organization, and delivery skills. This course provides personalized coaching and practical exercises to help you overcome public speaking challenges.

  • Analyze and understand your audience.
  • Organize presentations for maximum impact.
  • Deliver messages skillfully and confidently.
  • Handle audience questions effectively.
  • Use visuals to enhance your message.
  • Manage public speaking anxiety and build confidence.

Loading lessons…

Attend the AI for Data Analytics Course for free as part of this certificate. Choose your date after you register for the program.

Bonus 12 Hours

AI for Data Analytics Course (Self-Paced)
  • Overview of popular AI tools and platforms like IBM Watson, Google AI, Tableau, and Microsoft Azure AI
  • Learn automated data cleaning methods and how to handle missing data and outliers using AI tools
  • Use AI tools to generate summary statistics, visualize data distributions, and detect patterns
  • Understand regression, classification, and clustering, and use AI tools to build and evaluate predictive models
  • Explore applications of NLP for text analysis and automated time series forecasting with AI tools
Lesson 1: Introduction to AI in Data Analytics
Lesson 2: Data Collection & Preparation
Lesson 3: Exploratory Data Analysis (EDA)
Lesson 4: Data Visualization
Lesson 5: Predictive Analytics & Modeling
Lesson 6: Application of AI in Various Domains
Lesson 7: Advanced AI Techniques
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