An Introduction to Data Analysis with Pandas (Python)
Career
Presentation
Universal
Wed 27 April
13:15pm BST
Nicole Lettich
Organization Insights and Analytics Leader
Nasdaq
Skills in data manipulation and analysis are becoming more mainstream and more in-demand across all areas of business, and HR is no exception. You don’t need to be a data scientist to work with data, but to have more meaningful and productive conversations with your analysts, you need to understand the basics, and what’s possible. Join this session and learn the fundamental concepts in Pandas, a hugely popular, open-source Python toolkit for data analysis.
This session provides a gentle introduction to data analysis with the Pandas module. By the end of the session, you’ll be able to complete an exploratory data analysis of employee attrition data.
You will become familiar with analysing and visualising data in Python, and you can use this as a foundation to automate existing reporting or to move on to more advanced analytics.
This session will explore:
- Introduction to Pandas
- Working with tables in Pandas
- Visualising data
- Exporting data Files
- Python installation
- Tips for reading software documentation
- Pandas cheat sheets
- Where to turn for help.
Learning outcomes:
- Become familiar with loading and cleaning data in Python
- Create pivot tables and crosstabs
- Create effective data visualisations in Python.
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Nicole Lettich is an analytics leader experienced in working with Human Resources, Financial and Operational data. She is a member of Nasdaq’s Organizational Insights and Analytics team, where she partners with OD professionals to assess measures of organizational health and provide leaders with strategic insights.
