class: center, middle, inverse, title-slide .title[ # BUA 455 - Data Management for Business ] .subtitle[ ## Learning Innovation Grant Presentation ] .author[ ### Penelope Pooler Eisenbies ] .date[ ### May 10, 2022 ] --- ### Data Management for Business .pull-left[ - Course developed for today's **data-driven** world. - Data is a now a **public-facing** aspect of business and management. - Students learn how to acquire, combine, 'wrangle' and curate data - All assignments, tests, and final project are done in **R and Rstudio** - Course is divided into four main parts ] .pull-right[  ] --- background-image: url("LIG_BUA455_files/images/tidyverse.png") background-position: right background-size: contain ### Part 1 .pull-left[ **Project Skills, Data Wrangling** - R coding environment, R projects, RStudio - File management and documentation - Data skills: - Selecting variables and formatting variables - filtering data - grouping and summarizing data - reshaping data for plots or tables - Visualizing and presenting data - ***Course Project introduced and groups determined after Part 1*** ] --- ### **Part 2:** .pull-left[ **Importing and Combining Data from Different Sources** - Data formats - Joining datasets in different ways - Managing and cleaning text string data - Documenting and crediting data sources - Expanding on skills from Part 1 ***Data Sources and Project Ideas discussed during Part 2.*** - Groups submit a draft and final project proposal. ] .pull-right[  ] --- .panelset[ .panel[.panel-name[ Part 3 ] - Students transition from individual to group work - Geographic data management - More with text, and troubleshooting data issues - Student Project Questions - Curating data in different formats, written documents, html files, slides - Time permitting - additional 'Literate Programming' skills - Using RStudio to create reports or slides (like this set) - Introduction to github and version control ] .panel[.panel-name[**Example Map Data**]  ] ] --- ### Part 4 **Group Project** - **Students Groups (5 - 6 Students) :** - Develop a proposal with 3 or more questions - Identify multiple data sources to address questions - Combine and curate data to develop a multi-panel dashboard - **Dashboard must include both:** - Interactive and static visualizations with explanatory text - Linked text citations to data sources - **Accompanying the dashboard are two written memos** - Memo 1: To supervisor who would have to present dashboard - Memo 2: to colleague on how to update dashboard **Students manage, curate, and present data in a collaborative setting to a achieve an objective.** --- ### Course Challenges - First iteration developed with short notice for Spring 2021 - Hybrid (mostly remote) setting - R and Rstudio are changing rapidly - Improvements and changes by the month - Open source means more work to keep software up to date - But software is great and getting better - Wide variability in student comfort level with coding - It's akin to learning a new language - Requires practice and patience - Effective assessment of data management skills is difficult