Data Analysis, Modeling and Visualization
MGTM36033
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
Data Analysis, Modeling and Visualization Closed
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 spreadsheet modeling, linear/ Integer Optimization, statistical analysis, forecasting
Data Analysis, Modeling and Visualization
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