Join Charles Kelly for an in-depth discussion in this video Next steps, part of Pandas for Data Science.
- [Charles] In this course, we examine the basic…data structures in Pandas Series and DataFrames.…We also examined how to create and modify instantiations…of these data structures using scalar and vector operations.…Throughout the course we used Jupyter Notebook…so that we could interact with Pandas data structures…and visualize data within Pandas…data structures via plotting.…The Lynda.com library has several courses…that are applicable to Data Science.…These include Data Analysis on Hadoop,…Introduction to Data Analysis with Python,…NumPy Data Science Essential Training.…
There is an active community of Pandas developers and users.…The community page within Pandas' website…recommends that you use stackoverflow…on the Pandas mailing list to answer questions…that you may have regarding Pandas.…I enjoy working with Pandas,…and I hope that you will also.…I encourage you to enhance your…Data Science project with Pandas.…
Watch this course to gain an overview of Pandas. Charles Kelly helps you get started with time series, data frames, panels, plotting, and visualization. All you need is a copy of the free and interactive Jupyter Notebook app to practice and follow along.
- Using the Markdown language and Jupyter Notebook
- Creating objects
- Selecting objects
- Using operations
- Merging data
- Creating series
- Creating data frames
- Creating panels
- Annotating plots and data frame plots
Skill Level Intermediate
NumPy Data Science Essential Trainingwith Charles Kelly3h 54m Intermediate
SQL: Data Reporting and Analysiswith Emma Saunders2h 16m Intermediate
1. Introduction to Notebooks
2. Pandas Overview
4. Data Frames and Panels
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