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Python Pandas Data Cleaning Essentials

Track :

Computer Science

Lessons no : 8

For Free Certificate After Complete The Course

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What will you learn in this course?
  • Master data cleaning techniques using Python Pandas for accurate data analysis and visualization
  • Handle missing data and resolve inconsistencies to improve dataset quality and reliability
  • Remove duplicates and transform data types to ensure data integrity in Python projects
  • Apply Pandas functions to clean and preprocess datasets for machine learning and statistical analysis
  • Identify and address common data quality issues using practical Pandas methods
  • Optimize data preparation workflows for efficient and effective data analysis in Python

How to Get The Certificate

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  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
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  • The Certificate is free !
Lessons | 8


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Someshwar Reddy K

nice 2024-03-16

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Python Pandas Data Cleaning course, in this course we will learn about the Python Pandas Data Cleaning essentials. Exploring various techniques and functions within the Pandas library, we'll tackle tasks such as handling missing data, resolving inconsistencies, removing duplicates, and transforming data types. By mastering these skills, you'll gain proficiency in preparing datasets for analysis, ensuring data integrity, and improving overall data quality in your Python projects.