Genre: eLearning | Language: English [/center]

This entry-level Python and Pandas for Data Manipulation training prepares data practitioners to manipulate and analyze data coming in from multiple sources, big and small, with pandas

If it's your first time stumbling across the name of the Python library that's used in econometrics for multidimensional structured data set conversion, you should know that Pandas is a deceptively cute name for a really, really powerful data analysis and manipulation tool. If you're using Python to analyze data, Pandas is arguably the only tool for data munging – transforming raw data into a different format so that it's more useful.

After this Pandas course, you'll be selecting, filtering, sorting, cleaning and combining your data quickly and easily.

For anyone who leads an IT team, this open source training can be used to onboard new data practitioners, curated into individual or team training plans, or as an open source reference resource.

Python and pandas for Data Manipulation: What You Need to Know
This Python and pandas for Data Manipulation training has videos that cover topics such as

Extracting meaning from numbers
Managing large data sources and extracting the right data from them
Importing, cleaning, and calculating statistics
Visualizing data and making smarter decisions

Who Should Take Python and pandas for Data Manipulation Training?
This Python and Pandas for Data Manipulation training is considered foundational-level open source training, which means it was designed for data practitioners. This Python skills course is valuable for new IT professionals with at least a year of experience with data science and experienced data practitioners looking to validate their data skills.

New or aspiring data practitioners. There's almost no time in your data science or data analysis career that's too early to take Pandas training. Of course, it's important to learn the fundamentals first without skipping ahead to advanced tools. But as this Pandas course shows, data manipulation and importing isn't just easier – in some cases, it's only possible – with Pandas.

Experienced data practitioners. If you've been working with data for several years already, you've probably seen some of the things Pandas can do. Maybe you didn't even realize it when you saw them, but Pandas and DataFrames make it possible to extract, filter and transform real-world data at an otherworldly level. This course shows you how to use Pandas and advance your data career.

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