Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn.
* Actual course outline may vary depending on offering center. Contact your sales representative for more information.
Working in a hands-on learning environment, guided by our expert team, attendees will learn to:
Understand how data analysts and scientists gather and analyze data
Perform data analysis and data wrangling using Python
Combine, group, and aggregate data from multiple sources
Create data visualizations with pandas, matplotlib, and seaborn
Apply machine learning (ML) algorithms to identify patterns and make predictions
Use Python data science libraries to analyze real-world datasets
Use pandas to solve common data representation and analysis problems
Build Python scripts, modules, and packages for reusable analysis code
Perform efficient data analysis and manipulation tasks using pandas
Apply pandas to different real-world domains with the help of step-by-step demonstrations
Get accustomed to using pandas as an effective data exploration tool.
Length: 3.0 days (24 hours)
6:00 PM ET