Project Summary:  Looking to elevate your organization, and bring it to the next level? Bring on learners from Lindenwood University to be your learner-consultants, in a project-based experience. Learners will work on one main project over the experience of the semester, connecting with you as needed with virtual communication tools. Learners in this program/experience will 1. Demonstrate the ability to identify a problem and develop its quantitative definition. 2. Take steps involved in decision and problem-solving processes. 3. Demonstrate the ability to use spreadsheets for computer modeling and decision support. 4. Interpret computer solutions developed from spreadsheet modeling and analysis. 5. Demonstrate an understanding of practical applications of business analytics including data visualization, optimization models, business forecasting with simple and multiple regression and risk and simulation modeling. What can our learners do for your company? Learners in groups of 3-5 will work with your company to identify your needs and provide actionable recommendations, based on their in-depth research and analysis. Project activities that learners can complete may include, but are not limited to:  data cleaning data preparation data visualization outlier analysis and forecasting hypothesis testing predictive modelling statistical analysis spreadsheet modeling and analysis monte-carlo simulation

Looking to elevate your organization, and bring it to the next level? Bring on learners from Lindenwood University Digital Marketing class to be your learner-consultants, in a project-based experience. Learners will work on one main project over the experience of the term (8 weeks), connecting with you as needed with virtual communication tools. Learners in this program/experience: major topics within digital marketing with a focus on analytics, but also including advertising, SEO/SEM, elements of html and landing page optimization, e-mail marketing and current best industry practices.  What can our learners do for your company? Learners in groups of 3-4 will work with your company to identify your needs and provide actionable recommendations, based on their in-depth research and analysis. Project activities that learners can complete may include, but are not limited to:  1. Understanding KPIs and which are important for strategy and reporting.  2. Devise digital marketing strategies  3. Apply digital knowledge in marketing situation 

Are you experiencing an employee efficiency/satisfaction related challenge in your business? Bring on learners from Lindenwood University to tackle your specific challenges through the lens of organizational behaviour, change management and employee engagement. Learners will work in teams of 3-4 to consult with you, and analyze your specific challenge using a variety of methodologies, and provide a final report which will include their recommendations.

Project Summary:  Looking to elevate your organization, and bring it to the next level? Bring on learners from Lindenwood University to be your learner-consultants, in a project-based experience. Learners will work on one main project over the experience of the semester, connecting with you as needed with virtual communication tools. Learners in this program/experience will 1. Demonstrate the ability to identify a problem and develop its quantitative definition. 2. Take steps involved in decision and problem-solving processes. 3. Demonstrate the ability to use spreadsheets for computer modeling and decision support. 4. Interpret computer solutions developed from spreadsheet modeling and analysis. 5. Demonstrate an understanding of practical applications of business analytics including data visualization, optimization models, business forecasting with simple and multiple regression and risk and simulation modeling. What can our learners do for your company? Learners in groups of 3-5 will work with your company to identify your needs and provide actionable recommendations, based on their in-depth research and analysis. Project activities that learners can complete may include, but are not limited to:  data cleaning data preparation data visualization outlier analysis and forecasting hypothesis testing predictive modelling statistical analysis spreadsheet modeling and analysis monte-carlo simulation