2024/08/25، 06:31 AM
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Published 8/2024
Created by Ridwan Suleiman Adejumo
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 31 Lectures ( 2h 53m ) | Size: 1.62 GB
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Mastering Advanced Techniques for Efficient Data Manipulation, Cleaning, and Analysis with Python's Pandas Library
What you'll learn:
Master complex data manipulation techniques using Pandas advanced functions and methods.
Develop efficient strategies for handling and analyzing large-scale datasets.
Implement advanced data cleaning, transformation, and merging operations.
Create reusable and optimized data processing pipelines using Pandas.
Requirements:
Basic knowledge of Python programming
Basic understanding of Pandas library and its core functionalities
Familiarity with fundamental data analysis concepts
Experience working with datasets in various formats (CSV, JSON, Excel, etc.)
Description:
Pandas is a Python library used by data analysts and data scientists to clean, transform, and analyze data. If you have basic knowledge of pandas, then this course is for you.Advanced-Data Wrangling with Pandas is an intensive course designed to elevate your data manipulation skills to the expert level. This comprehensive program dives deep into the powerful Pandas library, equipping you with advanced techniques to tackle complex data challenges efficiently.Throughout nine carefully structured sections, you'll master a wide array of advanced topics. Starting with a refresher on Pandas fundamentals, you'll quickly progress to advanced string manipulation, DateTime handling, and multi-indexing techniques. The course covers crucial skills such as managing missing data, outlier detection, and sophisticated merging and joining operations.You'll learn to optimize your code for performance, work with large datasets, and integrate Pandas with other data science libraries. Each section combines theoretical lectures with hands-on exercises, ensuring you can immediately apply your new knowledge to real-world scenarios.Highlights include mastering regular expressions for text cleaning, advanced time-series analysis, and creating custom functions to extend Pandas' functionality. You'll also dive into memory optimization techniques and best practices for writing efficient Pandas code.By the end of this course, you'll have transformed into a Pandas expert, capable of handling any data manipulation challenge with confidence and efficiency.
Who this course is for:
Data analysts, Data scientists, and Software developers who have some experience with Pandas and want to take their skills to the next level.
Professionals working with large or complex datasets who need to perform advanced data manipulation tasks efficiently.
Homepage
Published 8/2024
Created by Ridwan Suleiman Adejumo
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 31 Lectures ( 2h 53m ) | Size: 1.62 GB
[/center]
[center]
Mastering Advanced Techniques for Efficient Data Manipulation, Cleaning, and Analysis with Python's Pandas Library
What you'll learn:
Master complex data manipulation techniques using Pandas advanced functions and methods.
Develop efficient strategies for handling and analyzing large-scale datasets.
Implement advanced data cleaning, transformation, and merging operations.
Create reusable and optimized data processing pipelines using Pandas.
Requirements:
Basic knowledge of Python programming
Basic understanding of Pandas library and its core functionalities
Familiarity with fundamental data analysis concepts
Experience working with datasets in various formats (CSV, JSON, Excel, etc.)
Description:
Pandas is a Python library used by data analysts and data scientists to clean, transform, and analyze data. If you have basic knowledge of pandas, then this course is for you.Advanced-Data Wrangling with Pandas is an intensive course designed to elevate your data manipulation skills to the expert level. This comprehensive program dives deep into the powerful Pandas library, equipping you with advanced techniques to tackle complex data challenges efficiently.Throughout nine carefully structured sections, you'll master a wide array of advanced topics. Starting with a refresher on Pandas fundamentals, you'll quickly progress to advanced string manipulation, DateTime handling, and multi-indexing techniques. The course covers crucial skills such as managing missing data, outlier detection, and sophisticated merging and joining operations.You'll learn to optimize your code for performance, work with large datasets, and integrate Pandas with other data science libraries. Each section combines theoretical lectures with hands-on exercises, ensuring you can immediately apply your new knowledge to real-world scenarios.Highlights include mastering regular expressions for text cleaning, advanced time-series analysis, and creating custom functions to extend Pandas' functionality. You'll also dive into memory optimization techniques and best practices for writing efficient Pandas code.By the end of this course, you'll have transformed into a Pandas expert, capable of handling any data manipulation challenge with confidence and efficiency.
Who this course is for:
Data analysts, Data scientists, and Software developers who have some experience with Pandas and want to take their skills to the next level.
Professionals working with large or complex datasets who need to perform advanced data manipulation tasks efficiently.
Homepage
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