Description
Python and pandas for Data Manipulation is a Python and pandas for Data Manipulation course published by CBTNuggets Academy. This intermediate Python and Pandas for Data Manipulation course prepares data scientists to manipulate and analyze data coming from multiple sources, large and small, with pandas. If this is your first time encountering the name of the Python library used in econometrics to transform multidimensional structured datasets, you should know that pandas is a pretty catchy name for a really powerful data analysis and manipulation tool. If you use Python for data analysis, Pandas is arguably the only tool that moves data. It transforms raw data into different formats so that it is more useful. After this pandas course, you will be selecting, filtering, sorting, cleaning, and combining your data quickly and easily. There is almost no time in your data science or data analysis career when it is too early to learn pandas. Of course, it’s important to learn the basics first without skipping the advanced tools. But as this pandas tutorial shows, manipulating and importing data is not only easier with pandas, but in some cases, it’s possible with it.
What you will learn
- Extracting meaning from numbers
- Managing big data sources and extracting appropriate data from them
- Import, clean, and calculate statistics
- Data visualization and smarter decision making
Who is this course suitable for?
- This training is considered to be open source training at the relevant level, meaning it is designed for data analysts.
Python and pandas for Data Manipulation course details
- Publisher: CBTNuggets
- Instructor: Jonathan Barrios
- Language: English
- Education level: Intermediate
- Number of lessons: 113
- Training duration: 17 hours
Python and pandas for Data Manipulation course topics
Course prerequisites
- 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.
Pictures
Sample video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 1080p
File size
9.51 GB
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