Part I: Microsoft Excel Power Query$/$Power BI versus Tableau Comparison Report and Evaluation Checklist

Identify specific problems that can be solved by data analytics tools.

Explain techniques for different problem$-$solving tasks within data analytics tools.

Include $23$ examples of problem$-$solving tasks for Power BI and Tableau.

Analyze ethical issues to be considered when working with data.

Include $23$ examples of ethical issues.

Explain why clean data is used in an analysis.

Justify why identifying anomalies is important when working with data.

Include a visualization to showcase anomalies for each of the two technologies and how that helped you work with the data: Power BI and Tableau.

Identify types of problems and anomalies discovered by the data analysis.

Include $23$ problems or anomalies for each of the technologies and how that helped you understand problems in the data set: Power BI and Tableau.

Explain quantitative methods used for data analytics to help draw conclusions.

Include $34$ examples to support your explanation for each of the technologies: Power BI and Tableau.

Apply methods used to resolve specific problems.

Include $23$ methods used for each of the technologies: Power BI and Tableau.Include problems solved by the methods for each of the technologies: Power BI and Tableau.

Summarize how the recommended tool helped you draw conclusions about the data. Include the following in your summary:

What did you learn about the data used for each of the technologies?How did you determine which technology tool would be more beneficial?What are the advantages and disadvantages of each technology: Power BI and Tableau?

Recommend a software tool based on the data analysis processes performed.

Use examples of each of the technologies to support your recommendations.