Almost all tutorials on using Python for data assume experience with Python or enough programming knowledge and experience to be able to follow along with a very quick review.
If you want a single course for people with no prior experience, this is the best option:
Otherwise, start with any general tutorial and make sure that you learn about the following before following a Panda's-specific tutorial below.
Pandas - Python for Data Analysis, provides R-like tools for data frames.
Wes McKinney is the author of pandas – a Python library for data analysis. This book covers basic usage of pandas and NumPy for data wrangling and analysis and serves as a good companion to the pandas documentation.