Data Analysis with Pandas and Python Practice Exam
Data Analysis with Pandas and Python
Pandas give stretched-out data structures to hold various types of named and social data. This makes python exceptionally adaptable and amazingly useful for data cleaning and control. Pandas is exceptionally adaptable and provides functions for performing operations like blending, reshaping, joining, and connecting data.
Skills Required
• Great understanding of the underlying data types.
• Expertise in N-dimensional NumPy arrays.
• Mastery of pandas data frames.
• Statistical Skills
• Scientific Skills
• Javascript
• HTML
• CSS
Career Opportunity
• Web Developer.
• Python Developer.
• Software Engineer.
• Data Analyst.
• Data Scientist.
• AI Engineer.
• Item Manager.
• Teacher.
• Monetary Advisors.
• Data Journalist.
Table of Content
- Installation and Setup
- Series
- DataFrames I
- DataFrames II
- DataFrames III
- Working with Text Data
- MultiIndex
- GroupBy
- Merging, Joining, and Concatenating
- Working with Dates and Times
- Panels
- Input and Output
- Visualization
- Options and Settings
- Conclusion
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