Build Your Skills

There are numerous data and coding resources available on the internet, from Stack Overflow for one-off questions to comprehensive project walkthroughs. The links below are a small sample of bootcamps, tutorials, and projects that can help you grow as a data scientist.

• Data Analyst Bootcamp (YouTube): addresses topics like Python, MySQL, Excel, Tableau/Power BI, and even interview tips.
• 180 Data Science and Machine Learning Projects with Python
• Kaggle Learn: addresses topics like Python, SQL, AI, geospatial data, and machine learning. The bottom of the page contains guides created by the Kaggle community on topics like R and natural language processing.
• Coursera: offers a selection of free courses in addition to paid ones.

QTM also provides free DataCamp access to current majors and minors. Follow this link and sign up with your Emory email to unlock a vast array of data courses, tutorials, projects, competitions, and more!

• Install R
  • Choose the installation files needed for your computer’s operating system.
  • Go to https://cran.r-project.org/ and choose your operating system and following the directions.
  • NOTE: For Windows – just down the installer for “base”.
• After installing R, then download and install RStudio.
  • Go to https://www.rstudio.com/products/rstudio/download/#download 
  • Choose the installer for your operating system – choose one under the heading “Installers for Supported Platforms”

After installing both, run RStudio and confirm that the software starts and lists the correct version of R in the RStudio Console window.

This course serves as an introduction to R. It will cover the basics of loading packages, importing data, recoding variables, and basic plotting. No R experience necessary. Attendees are encouraged to have the most recent version of R and RStudio installed.

This workshop is co-sponsored with QTM by ECDS and LIT.

Python Bootcamp

This 2.5 hour bootcamp will familiarize you with Python, the most requested data science tool in industry. No prior training is required to be successful, so this bootcamp is an excellent primer for beginners or a helpful refresher for novice users.

Python Workshop

This course serves as an introduction to Python. It will cover the basics of loading packages, importing data, re-coding variables, and basic plotting. No Python experience necessary.

This workshop will introduce attendees to the fundamentals of SQL, a language for creating and querying relational databases. Attendees are encouraged to install the free desktop application SQLiteStudio (https://sqlitestudio.pl/) prior to the workshop. 

This workshop will provide an introduction to using the version control system Git from the command line. Attendees will learn the basics of creating a new Git repository, committing changes and pushing their work to GitHub, a free website for hosting code. 

This workshop is co-sponsored with QTM, ECDS and LIT.