Live training

Analyzing Students' Mental Health in SQL

In this live code-along, you'll perform exploratory data analysis on a dataset around mental health of domestic and international students. You'll perform SQL querying to look at how social connectedness and cultural issues affect mental health. Finally, you'll visualize the results of your analysis using the Python Plotly package.

Tuesday, August 16, 11:00 AM ET
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SQL

What will I learn?

You will learn how to:
  • Perform exploratory data analysis to understand a new dataset
  • Write SQL queries to quantify a dataset
  • Visualize the results of a SQL analysis with interactive Python plots

What should I prepare?

We will be using DataCamp Workspace. Other than a DataCamp account, you don’t need anything. If you are part of specific enterprise groups, you may not yet be able to use DataCamp Workspace. You can create a free DataCamp account with your personal email address to follow along. Resources: (1) Dataset: https://www.mdpi.com/2306-5729/4/3/124/s1 (2) Paper associated with dataset: https://www.mdpi.com/2306-5729/4/3/124/htm#app1-data-04-00124

Who should attend?

We recommend that you have taken the following course before attending:

  • Introduction to SQL
  • Intermediate SQL Queries

Presenter Bio

Jasmin Ludolf Headshot

Jasmin Ludolf

Data Science Content Developer

Jasmin is a Content Developer at DataCamp. After ten years as a global marketing manager in the music industry, she recently changed careers to follow her curiosity for data. Her passion is value exchange and making data science accessible to all.
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