MeredithGal
Dependable Analytical Asset with ongoing curiosity and passion for continuous education using business analytical skills as well as technical experiences.
NC
Pinned Repositories
Applications-of-Business-Analytics
Comprehensive capstone project - Develop a solution to a real-world problem including collecting and cleaning data, building an appropriate model, and using appropriate analytic methods to produce a solution to the problem. Students developed a project plan, appropriate models, and a final recommendation
Case-Studies-in-Business-Analytics-with-JMP
Case studies for prediction using statistical methods in forecasting with big data and includes methods such as decision trees, neural networks and stepwise regressions. Uses JMP Pro software.
CourseraRProgramming-Assignment2
Repository for Programming Assignment 2 for R Programming on Coursera
Data-Visualizations-with-Tableau
UNCW MIS 505 This course provides experience in design principles for creating meaningful displays of quantitative and qualitative data to facilitate managerial decision-making. Use of popular and powerful data visualization and dashboarding software tools is emphasized.
Descriptive-Analytics-with-Advanced-Excel
UNCW BAN 500 This course covers statistical inference as applied to management decision making and focuses on building linear statistical models and developing skills for implementing statistical analysis in real situations. Applications require the use of statistical analysis programs on the computer.
Management-of-Database-Systems
UNCW MIS 315 The relational model is used along with database management software (AZURE) to facilitate the communication and distribution of data and its conversion into information, with an emphasis on sound design principles. Topics include entity-relationship modeling, normalization, and the structured query language (SQL).
Predictive-Analytics-with-R-Programming
UNCW BAN 502 This course explores methods for model selection, parameter estimation, and validation. Focused on techniques and algorithms from the statistical and machine learning disciplines.
Prescriptive-Analytics-with-AMPL-and-Advanced-Excel
UNCW BAN 501 This course introduces students to the field of prescriptive analytics. Students will learn how to develop and use modeling techniques used extensively in the business world. Both mathematical and spreadsheet skills in MS Excel are utilized for performing optimization, simulation, and decision analysis techniques.
R-Programming-For-Analytics
The course covers hands-on issues in programming with R for analytics, which includes accessing data, manipulating data objects, analyzing data using common statistical methods, generating reproducible statistical reports, and creating informative data graphics.
Text-and-Unstructured-Data-Analytics
This course addresses the unstructured data analysis including big data & real-time data environments. Topics include extraction methods for real time data, data capture, cleaning, representation, storage queries, manipulation, and real-time data management applied to unstructured data environment are natural language processing analytical tools.
MeredithGal's Repositories
MeredithGal/Applications-of-Business-Analytics
Comprehensive capstone project - Develop a solution to a real-world problem including collecting and cleaning data, building an appropriate model, and using appropriate analytic methods to produce a solution to the problem. Students developed a project plan, appropriate models, and a final recommendation
MeredithGal/Case-Studies-in-Business-Analytics-with-JMP
Case studies for prediction using statistical methods in forecasting with big data and includes methods such as decision trees, neural networks and stepwise regressions. Uses JMP Pro software.
MeredithGal/CourseraRProgramming-Assignment2
Repository for Programming Assignment 2 for R Programming on Coursera
MeredithGal/Data-Visualizations-with-Tableau
UNCW MIS 505 This course provides experience in design principles for creating meaningful displays of quantitative and qualitative data to facilitate managerial decision-making. Use of popular and powerful data visualization and dashboarding software tools is emphasized.
MeredithGal/Descriptive-Analytics-with-Advanced-Excel
UNCW BAN 500 This course covers statistical inference as applied to management decision making and focuses on building linear statistical models and developing skills for implementing statistical analysis in real situations. Applications require the use of statistical analysis programs on the computer.
MeredithGal/Management-of-Database-Systems
UNCW MIS 315 The relational model is used along with database management software (AZURE) to facilitate the communication and distribution of data and its conversion into information, with an emphasis on sound design principles. Topics include entity-relationship modeling, normalization, and the structured query language (SQL).
MeredithGal/Predictive-Analytics-with-R-Programming
UNCW BAN 502 This course explores methods for model selection, parameter estimation, and validation. Focused on techniques and algorithms from the statistical and machine learning disciplines.
MeredithGal/Prescriptive-Analytics-with-AMPL-and-Advanced-Excel
UNCW BAN 501 This course introduces students to the field of prescriptive analytics. Students will learn how to develop and use modeling techniques used extensively in the business world. Both mathematical and spreadsheet skills in MS Excel are utilized for performing optimization, simulation, and decision analysis techniques.
MeredithGal/R-Programming-For-Analytics
The course covers hands-on issues in programming with R for analytics, which includes accessing data, manipulating data objects, analyzing data using common statistical methods, generating reproducible statistical reports, and creating informative data graphics.
MeredithGal/Text-and-Unstructured-Data-Analytics
This course addresses the unstructured data analysis including big data & real-time data environments. Topics include extraction methods for real time data, data capture, cleaning, representation, storage queries, manipulation, and real-time data management applied to unstructured data environment are natural language processing analytical tools.