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Take your first step toward data analysis with Pandas - Learn about DataFrames, Jupyter and many more things
Updated on Sep, 2026
Programming, Data Science, Data Analysis
Training 5 or more people ?
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Pandas is an open-source library providing you with high-performance, easy-to-use data structures and data analysis tools for Python. Pandas provide a powerful and comprehensive toolset for working with data, including tools for reading and writing diverse files, data cleaning and wrangling, analysis and modeling, and visualization. Fields with the widespread use of Pandas include data science, finance, neuroscience, economics, advertising, web analytics, statistics, social science, and many areas of engineering.
This course covers the fundamentals of data analysis with Python, predominantly using the Pandas library. This course starts with covering the fundamentals of data analysis. You will be working with Pandas, iPython, and Jupyter Notebook. After that, you will explore important Jupyter Notebook commands. Post that, you will be working with CSV, Excel, TXT, JSON files, and API responses.
Finally, you will be working with DataFrames (indexing, slicing, adding, and deleting).
By the end of this course, you will have a good understanding of Pandas and will be ready to explore data analysis in-depth in the future.
All the resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/pandas-resources
This course is ideal for Python programmers and developers, and students who are interested in learning Pandas for doing data analysis.
This course is designed for beginners who want to start their journey in the field of data analytics.
Check out the detailed breakdown of what’s inside the course
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