• Project description: Provide background and contextual information. Define the analysis problem. Clearly identify project goals and deliverables. State the value this analysis will bring to your organization. Note that the analysis problem must be stated in terms of a product or result that can be accomplished using some form of descriptive, predictive, or prescriptive analytics, by the size of students listed in the course page, in the required number of weeks.
• Data Description: Provide information on the data you will share, including variables, type, granularity, time-period, number of records, and approximate total size in bytes. Provide information on how you will share this data, including mode of access, platforms, frequency, and format. Confirm that you will be able to provide access to this data by the required date.

To achieve the project goal, students will need to:

1. Data Exploration: Conduct an initial analysis to understand the data's structure, quality, and potential insights.
2. Preprocessing: Clean and prepare the data for analysis, handling missing values, outliers, and data transformation.
3. Analysis: Apply descriptive, predictive, or prescriptive analytics techniques to address the project's problem.
4. Modeling (if applicable): Develop and train statistical or machine learning models suitable for predicting outcomes or prescribing actions.
5. Validation: Assess the model's accuracy and reliability or validate insights through appropriate methods.
6. Insight Generation: Draw conclusions and identify actionable recommendations based on the analysis.
7. Reporting: Compile findings, insights, and recommendations into a comprehensive report or presentation.

1. Dedicated Mentorship: Access to experienced professionals for guidance.
2. Tools and Technology: Use of necessary strategy tools and software.
3. Data Access: Availability of internal and external strategic data.
4. Learning Resources: Curated courses, webinars, and readings.
5. Feedback Sessions: Regular reviews with stakeholders for insights.
6. Networking Opportunities: Interactions with industry professionals.
7. Presentation Opportunities: Chance to present findings to senior management