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Data Manipulation In Python - A Pandas Crash Course by Asim Noaman

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Data Manipulation In Python - A Pandas Crash Course by Asim Noaman (Size: 2.2 GB)
  1 - Introduction.mp4 16.2 MB
  10 - How to Identify Unique Values.mp4 14.2 MB
  10 - titanic.csv 56.6 KB
  11 - How to Filter the dataset.mp4 6.8 MB
  11 - titanic.csv 56.6 KB
  12 - How to filter Specific Numbers of Records.mp4 9.2 MB
  12 - titanic.csv 56.6 KB
  13 - How to Apply Logical Condition.mp4 4.3 MB
  13 - titanic.csv 56.6 KB
  14 - How to Replace Null Values.mp4 5.8 MB
  14 - titanic.csv 56.6 KB
  15 - How to Create Count plot.mp4 12.5 MB
  15 - titanic.csv 56.6 KB
  16 - How to Create Histogram.mp4 12.3 MB
  16 - titanic.csv 56.6 KB
  17 - How to Create Bar Plot.mp4 6.7 MB
  17 - titanic.csv 56.6 KB
  18 - How to Create Scatter Plot.mp4 6.4 MB
  18 - titanic.csv 56.6 KB
  19 - How to Create Box Plot.mp4 5.4 MB
  19 - titanic.csv 56.6 KB
  2 - Pandas Installation Link.txt 102.4 B
  2 - Python Jupyter NoteBook Installation.mp4 51.8 MB
  20 - Pandas Library chearsheet.mp4 107.4 MB
  20 - titanic.csv 56.6 KB
  21 - What is Data Cleaning.mp4 42.6 MB
  21 - titanic.csv 56.6 KB
  22 - Live Data Analysis with Power Query Ms Excel.mp4 1.8 GB
  23 - How to Append Multiple Excel Sheets.mp4 99.8 MB
  3 - Introduction to Data Analysis.mp4 7.7 MB
  3 - Introduction.pptx 1.4 MB
  4 - Real Time Business Intelligence Problems.mp4 10.7 MB
  5 - Introduction to Pandas Library.mp4 5.2 MB
  6 - Importing Libraries in JupyterNote Book.mp4 6.4 MB
  7 - How to View Dataset.mp4 4 MB
  7 - titanic.csv 56.6 KB
  8 - How to fetch Columns.mp4 5.3 MB
  8 - titanic.csv 56.6 KB
  9 - How to Perform Descriptive Analysis.mp4 15 MB
  9 - titanic.csv 56.6 KB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 42 total files

Description


Data Manipulation In Python: A Pandas Crash Course by Asim Noaman

https://DevCourseWeb.com

Published 10/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.25 GB | Duration: 1h 51m

Learn how to use Python and Pandas for data analysis and data manipulation. Transform, clean and merge data with Python.

What you'll learn
Learn how to use Python and Pandas for data analysis and data manipulation. Transform, clean and merge data with Python.
Data Visualization with Python
Create, save and serialise data frames in and out of multiple formats.
Detect and intelligently fill missing values.
Merge data sources into a beautiful whole.
Seamlessly work with data from different time zones.
Learn the common pitfalls and traps that ensnare beginners and how to avoid them.

Requirements
Basic knowledge of Python

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