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One of the main reasons given for unsuccessful project results is the lack of clear understanding of stakeholder requirements.

Business analysis helps to prevent project failure by identifying and validating those requirements early on.

This course provides the foundation to break into the Business Analysis role. It outlines the knowledge and skills required to build a successful career.

We provide an in-depth review of the business analysis process, from conducting a needs assessment and identifying stakeholders to testing, validation, and release. Each lesson demonstrates why business analysis works—and how you can use it to improve your organization.

 

Learning objectives

 

• Identify the role and skills of a business analyst.

• Determine the four steps of a needs assessment.

• Distinguish the type of stakeholder needed for a specific activity.

• Explain the role of the business analyst in the project planning stage.

• Differentiate between the three points of view for breaking down requirements.

• Identify the factors for requirements in the release planning phase.

Teams that embrace an agile mindset are often better able to respond to customer feedback and shifting business needs—and have a bit more fun in the process. This course will step through Agile concepts to help you start thinking like an Agile leader.

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Learning objectives

 

• Recognize inhibitors that have a significant impact when managing an agile team.

• Define the “agile manifesto.”

• Recall the structure of a cross-functional team.

• Determine what should be included in user stories.

• Apply the 80/20 rule to determine the priority of highest value items.

• List two agile principles that guide the team to stay within time structures while remaining flexible enough to adapt to change.

• Name a disadvantage of the waterfall approach.

This course teaches beginners and experts basics of data analytics and reporting. We defines what data analytics is and what data analysts do.

We then shows how to identify your data set—including the data you don’t have—and interpret and summarize data. We will also show you how to perform specialized tasks such as creating workflow diagrams, cleaning data, and joining data sets for reporting. You will learn techniques for repurposing, charting, and pivoting data. Plus, get helpful productivity-enhancing shortcuts and troubleshooting tips for the most popular data analytics program, Microsoft Excel.

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Learning objectives

 

• Define data analysis and data analyst.

• List roles in data analysis.

• Explain data fields and types.

• Define syntax.

• Explain how to interpret existing data.

• Describe data best practices.

• Repurpose data.

• Create a data dictionary.

• Compare and contrast linking versus embedding charts and data.

• Build pivot charts with slicers.