DATA ANALYSIS WITH PYTHON PANDAS - Data manipulation techniques Part 7

Опубликовано: 29 Июль 2023
на канале: Data From Zero to Hero

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Welcome to Data Analysis with Python Pandas: Practical Exercises Part 7 of our interview series, where we explore the world of real-world data analysis using Python Pandas. In this session, we delve into hands-on practical exercises and uncover valuable insights. Whether you're a data enthusiast, an analyst, or someone eager to dive into practical data analysis, this session provides a solid foundation.

Chapters:
0:59 - Use of usecols to print specific columns in pandas
2:23 - Drop null (NaN) values from the dataset
3:00 - Define a multiindex to your dataset in pandas
5:55 - Cast (Converting) the data types of columns
8:15 - Sorting the index in an ascending order
9:00 - Calculate the average salary for each 'Team' and round the result to three decimal places
11:00 - Calculate the average salary for each combination of 'Team' and 'Position'
12:40 - Calculate the age range within each group by applying the custom function

#python #ai #bigdata #dataanalysis #datascience #pandas

Source:
https://github.com/Rruhid/data

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Data Analysis with Python Pandas
Data Analysis
Python Pandas
Real-World Exercises
Data Exercises
Data Interview
Data Analysis Skills
Data-Driven Decision Making
Data Experts
Python for Data Analysis
Practical Data Analysis
Real-World Data Scenarios
Data Analysis Insights
Data Manipulation
Data Interpretation

Data Analysis with Python Pandas: Uncover the power of Pandas for data manipulation, analysis, and insights.
Practical Data Exercises: Engage in real-world exercises to apply your data analysis skills in practical scenarios.
Data Visualization Mastery: Learn to effectively convey insights through data visualization.
Interview with Data Experts: Gain insights from experienced data professionals who share their expertise.
Data-Driven Decision Making: Discover how data analysis influences informed decision-making in various industries.
Python Pandas and Real-World Insights: Tips and tricks for leveraging Pandas to draw actionable conclusions from data.
Data Analysis Skills Development: A valuable resource for data professionals and learners.
Real-World Data Projects: Gain inspiration from the application of data analysis in real-life situations.

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