The forage remote intership projects Virtual Internship programs replicated work at real world companies, and connect students to the companies themselves. Duratin od each program is approximately 5-6 hours, learn relevant tools and skills necessary to complete tasks that replicate an employee’s work day.
Task 1: Data Quality Assessment Assessment of data quality and completeness in preparation for analysis
Task 2: Data Insights (R in R-studio) Targeting high value customers based on customer demographics and attributes.
Task 3: Data Insights and Presentation Using visualisations to present insights
Task 1: Data preparation and customer analytics Conduct analysis on your client's transaction dataset and identify customer purchasing behaviours to generate insights and provide commercial recommendations.
Task 2: Experimentation and uplift testing Extend your analysis from Task 1 to help you identify benchmark stores that allow you to test the impact of the trial store layouts on customer sales.
Task 3: Analytics and commercial application Use your analytics and insights from Task 1 and 2 to prepare a report for your client, the Category Manager.
Task 1: Data Engineering
Task 2: Data Visualization
Task 1: Exploratory Data Analysis Segment the dataset and draw unique insights, including visualisation of the transaction volume and assessing the effect of any outliers.
Task 2: Predictive Analytics Explore correlations between customer attributes, build a regression and a decision-tree prediction model based on your findings.
Task 1: Business Understanding & Problem Framimg
Task 2: Exploratory Data Analysis
Task 3: Feature Engineering
Task 4: Modeling and Evaluation
Task 5: Insights and Recommendations