Data Analytics (SAS Project)
Budget: $30 – $250 USD
Project Framework:
You will be applying the CRISP-DM framework to identify and complete the appropriate tasks for each of the six CRISP-DM phases. The project deliverables include a final written report and an oral presentation that should include the items outlined below: Business understanding: Describe the business opportunities that the data present and formulate relevant business questions.
Data understanding: Explore the data set with descriptive analytics tools and provide relevant information. Examine the possibility of analytical techniques and identify possible variables for further analysis. Keep in mind the business opportunities and questions formulated in the first phase. The following criteria may also be considered as a guide.
Does a target variable exist?
Does the data set contain historical values of the target variables?
Does the data set have a sufficient number of observations to support data partitioning that may be required to answer the business question(s)?
Data preparation: Determine and perform the necessary data wrangling and preparation tasks based on the decision made during the business and data understanding phases. Explain the rationale for these tasks and document the changes that you have made to the data set.
Modeling: Consider the strengths and weaknesses of different modeling techniques. Implement the appropriate techniques, explain the rationale for your selection, and present relevant analysis results and interpretation. For the supervised techniques, determine whether to use classification or prediction models and explain your decision. Identify the best model(s).
Evaluation: Refocus on the business objectives of the project. Review the steps executed to construct the model to ensure no key business issues were overlooked. Evaluate whether the models have properly achieved the business objectives outlined during the business understanding phase. Formulate actionable recommendations based on the findings.
Deployment: Communicate the findings and relevant business insights with a written report and oral presentation that incorporate appropriate statistical information and visuals. The main focus should be placed on providing actionable business recommendations for a managerial and nontechnical audience.
CRISP-DM Overview.pdf Download CRISP-DM Overview.pdf/ Video (29:19) (Links to an external site.) / crisp_visualguide.pdf Download crisp_visualguide.pdf
You will be applying the CRISP-DM framework to identify and complete the appropriate tasks for each of the six CRISP-DM phases. The project deliverables include a final written report and an oral presentation that should include the items outlined below: Business understanding: Describe the business opportunities that the data present and formulate relevant business questions.
Data understanding: Explore the data set with descriptive analytics tools and provide relevant information. Examine the possibility of analytical techniques and identify possible variables for further analysis. Keep in mind the business opportunities and questions formulated in the first phase. The following criteria may also be considered as a guide.
Does a target variable exist?
Does the data set contain historical values of the target variables?
Does the data set have a sufficient number of observations to support data partitioning that may be required to answer the business question(s)?
Data preparation: Determine and perform the necessary data wrangling and preparation tasks based on the decision made during the business and data understanding phases. Explain the rationale for these tasks and document the changes that you have made to the data set.
Modeling: Consider the strengths and weaknesses of different modeling techniques. Implement the appropriate techniques, explain the rationale for your selection, and present relevant analysis results and interpretation. For the supervised techniques, determine whether to use classification or prediction models and explain your decision. Identify the best model(s).
Evaluation: Refocus on the business objectives of the project. Review the steps executed to construct the model to ensure no key business issues were overlooked. Evaluate whether the models have properly achieved the business objectives outlined during the business understanding phase. Formulate actionable recommendations based on the findings.
Deployment: Communicate the findings and relevant business insights with a written report and oral presentation that incorporate appropriate statistical information and visuals. The main focus should be placed on providing actionable business recommendations for a managerial and nontechnical audience.
CRISP-DM Overview.pdf Download CRISP-DM Overview.pdf/ Video (29:19) (Links to an external site.) / crisp_visualguide.pdf Download crisp_visualguide.pdf