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Python Pandas Course: Master Data Analysis in 90 Minutes!
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Unlock the full potential of data analysis with this comprehensive Python Pandas course, designed to transform you into a proficient data analyst in just 90 minutes. Dive deep into the world of data manipulation, cleaning, and visualization using Pandas, one of the most powerful data analysis libraries in Python. This course covers everything from the basics to advanced techniques, providing practical examples and hands-on exercises to ensure a thorough understanding. Whether you're a beginner or looking to refine your skills, this course is the perfect way to master data analysis quickly and effectively. Thanks for watching my video.
Udemy Courses
Some other videos I published:
Playlists:
Join to the data discord server:
Chapters:
00:00:00 Introduction and installation of Pandas
00:02:08 Series and series operations
00:07:23 Dataframes and basic dataframe creation
00:13:20 Creating dataframes from various file formats
00:18:27 Dataframe operations
00:26:20 Identifying and handling missing data
00:33:46 Data manipulation using loc and iloc
00:41:03 Sorting and ranking data
00:42:58 Combining and merging dataframes
00:45:00 Data cleaning techniques
00:50:41 Handling categorical data
00:53:43 Data transformation techniques
00:57:50 Handling date and time data
01:03:45 Group by operations
01:05:43 Aggreagating data using functions
01:08:58 Time series data visualization
01:10:37 Advanced data manipulation techniques (apply, map and apply map)
01:13:54 Data visualization with Pandas tools
01:18:37 Working with multi-index dataframes
01:22:54 Text manipulation methods
#pythonpandas #datascience #dataanalysis #dataanalytics #data #dataengineering #datascientist #datascientists #machinelearning #python #pythonprogramming
Udemy Courses
Some other videos I published:
Playlists:
Join to the data discord server:
Chapters:
00:00:00 Introduction and installation of Pandas
00:02:08 Series and series operations
00:07:23 Dataframes and basic dataframe creation
00:13:20 Creating dataframes from various file formats
00:18:27 Dataframe operations
00:26:20 Identifying and handling missing data
00:33:46 Data manipulation using loc and iloc
00:41:03 Sorting and ranking data
00:42:58 Combining and merging dataframes
00:45:00 Data cleaning techniques
00:50:41 Handling categorical data
00:53:43 Data transformation techniques
00:57:50 Handling date and time data
01:03:45 Group by operations
01:05:43 Aggreagating data using functions
01:08:58 Time series data visualization
01:10:37 Advanced data manipulation techniques (apply, map and apply map)
01:13:54 Data visualization with Pandas tools
01:18:37 Working with multi-index dataframes
01:22:54 Text manipulation methods
#pythonpandas #datascience #dataanalysis #dataanalytics #data #dataengineering #datascientist #datascientists #machinelearning #python #pythonprogramming
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