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Pandas is an open source Python package that is most widely used for data science/data analysis and machine learning tasks. It is built on top of another package named Numpy, which provides support for multi-dimensional arrays .
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What You'll Learn
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Master data manipulation and analysis using Pandas library in Python 2.7 for real-world data science projects
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Apply Pandas functions to clean, transform, and organize large datasets efficiently for machine learning tasks
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Utilize Pandas to perform data aggregation, filtering, and grouping to extract meaningful insights from complex data
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Implement best practices for handling missing data and data normalization within Pandas workflows
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Create and visualize data summaries and reports using Pandas integrated with visualization libraries
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Develop skills to optimize Pandas code for performance and scalability in data analysis projects
Course Content
10 Lessons • 1 h 16 m total
Pandas with Python 2 7 Part 1 Downloading and dependencies
Pandas with Python 2 7 Part 2 Terminology
Pandas with Python 2 7 Part 3 Reading from and saving to CSV
Pandas with Python 2 7 Part 4 CSV column manipulation
Pandas with Python 2 7 Part 5 Column Operations Math moving averages
How to Get The Certificate
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You must have an Account on the platform.
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Complete all lessons.
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Watch at least 50% of Lesson Duration.
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Get your Certificate free 🎉 !
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Pandas with Python 2 7 Course Description
Pandas is an open source Python package that is most widely used for data science/data analysis and machine learning tasks. It is built on top of another package named Numpy, which provides support for multi-dimensional arrays .
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