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[FreeTutorials.Us] [UDEMY] Practical Data Analysis with Python and Pandas ,Real Project [FTU]

[FreeTutorials.Us] [UDEMY] Practical Data Analysis with Python and Pandas ,Real Project [FTU]

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649 MB
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Files
24
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Added
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Infohash
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Description
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Only course do data analysis with real life projects and provide real life skill with python and pandas

Created by : Tan Pham
Last updated : 9/2019
Language : English
Torrent Contains : 29 Files, 3 Folders
Course Source : https://www.udemy.com/course/master-data-analysis-with-python/

What you'll learn

• Working with jupyter notebook environment
• Use pandas library to do data anlysis
• Import, export data types : csv, excel, json, html
• Working with real life and interesting data analysis project
• Create visualization for data
• Do clean up data
• Working with time series

Course content
all 24 lectures 01:34:37

Requirements

• Basic skill in python
• Have PC or MAC or Linux

Description

This course help you have skill on data analysis and visualization to start your job on data science and data analysis.

You will learn following skill in this course:

• Loading data

• Overview on data

• Selecting data

• Sorting data

• Filter data

• Aggregation function

• Groupby

• Apply

• Merge

• Visualization

• Saving data

• Clean up

• Rename column

• Drop column

• Handle missing data

• Handle duplicate data

• Modify data

• Time series

• Convert column to date time

• Select time series data

• Resampling

• Hand on with Google App data set

• Hand on with Ted Talk data set

• Hand on with Fifa19 data set

Take this course and start your first step on data science , data analysis adventure.

Who this course is for :

• Any one want to start a job on data science, data analysis.




File list
  • [FreeTutorials.Us] [UDEMY] Practical Data Analysis with Python and Pandas ,Real Project [FTU]
  • 0. Websites you may like/How you can help Team-FTU.txt 229 B
  • 01 Introduction and Installation/001 Introduction.mp4 7.3 MB
  • 01 Introduction and Installation/002 Install anaconda jupyter notebook and download source code.mp4 23.6 MB
  • 01 Introduction and Installation/attached files.zip 34.4 MB
  • 02 Pandas/003 Loading data.mp4 51.7 MB
  • 02 Pandas/004 Overview data.mp4 32.7 MB
  • 02 Pandas/005 Selecting.mp4 57.7 MB
  • 02 Pandas/006 Sorting.mp4 29.6 MB
  • 02 Pandas/007 Filtering.mp4 54.1 MB
  • 02 Pandas/008 Aggregation.mp4 26 MB
  • 02 Pandas/009 Groupby.mp4 34.2 MB
  • 02 Pandas/010 Apply.mp4 31.6 MB
  • 02 Pandas/011 Merge.mp4 33.3 MB
  • 02 Pandas/012 Visualization.mp4 10.3 MB
  • 02 Pandas/013 Saving data.mp4 6.8 MB
  • 02 Pandas/014 Clean up 1 rename column.mp4 17.4 MB
  • 02 Pandas/015 Clean up 2 drop column.mp4 11.3 MB
  • 02 Pandas/016 Clean up 3 handle missing data.mp4 23.7 MB
  • 02 Pandas/017 Clean up 4 handle duplicate data.mp4 14.9 MB
  • 02 Pandas/018 Clean up 5 modify column data.mp4 14.9 MB
  • 02 Pandas/019 Time series 1 convert column to date time type.mp4 43.7 MB
  • 02 Pandas/020 Time series 2 selection in time series.mp4 23 MB
  • 02 Pandas/021 Time series 3 resampling.mp4 25.2 MB
  • 02 Pandas/022 Hand on 1 google apps data set.mp4 41.7 MB

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