CBTNuggets – Python and pandas for Data Manipulation 2022-5
CBTNuggets – Python and pandas for Data Manipulation 2022-5 Downloadly IRSpace

Python and pandas for Data Manipulation, This intermediate 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. 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.
What you’ll learn
- 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 this course is for
- This Python and Pandas for Data Manipulation training is considered associate-level open source training, which means it was designed for data analysts.
Specificatoin of Python and pandas for Data Manipulation
- Publisher : CBTNuggets
- Teacher : Jonathan Barrios
- Language : English
- Level : Intermediate
- Number of Course : 113
- Duration : 17 hours
Content of Python and pandas for Data Manipulation
Requirements
- 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.
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9.51 GB