UDEMY_LEARNING_PYTHON_FOR_DATA_ANALYSIS_AND_VISUALIZATION_TUTORIAL-kEISO

Section

Appz

Group

kEISO

Size

1.009,34 MB

Files

24

Date

2015-03-10

NFO

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  ▀▓████▀▓█▀ ▀▓▀                                               ▀▓  ▀█▓▀████▓▀
 █ ▀█▓▓██▄▄██    TITLE: Learning Python for Data Analysis and     ██▄▄██▓▓█▀ █
 █▀ ▐█▒▓██░██            Visualization                            ██░██▓▒█▌ ▀█
 █▀  █▓███▒█▌                                                     ▐█▒███▓█  ▀█
 █▀ ▐█▓███▓█░                                                     ░█▓███▓█▌ ▀█
 █▀ ▐██████▌     PUBLISHER..........: UDEMY                        ▐██████▌ ▀█
 █▀ ▀▀████▓      LINK...............: http://is.gd/vjBmL0           ▓████▀▀ ▀█
 ▌ ▓██▌▄ ▀▀      AUTHOR.............: Jose Portilla                 ▀▀ ▄▐██▓ ▐
 ▌▐███░▒███▌     LEVEL..............: Appropriate For All          ▐███▒░███▌▐
 ▌ ████▓████     RUNTIME............: 8 hours                      ████▓████ ▐
 █ ▐▓█▀█████░    LANGUAGE...........: ENGLISH                     ░█████▀█▓▌ █
 █▀ ▀▄█▄▄▀▀█▓    RELEASE TYPE.......: RETAIL                      ▓█▀▀▄▄█▄▀ ▀█
 █▀▄ ▄▀███▓▄     RELEASE FORMAT.....: ISO                          ▄▓███▀▄ ▄▀█
 █▀█ ▐▓▄▀████    STORE DATE:........: 2015.03.09                  ████▀▄▓▌ █▀█
 █▀█ ▐█▌▓██▓     RELEASE DATE.......: 2015.03.10                   ▓██▓▐█▌ █▀█
 ▓▀█ ▓▌░██▓      ISO SIZE...........: 1,058,349,056                 ▓██░▐▓ █▀▓
 ▒▀█ █ ▓█▓       ISO CHECKSUM.......: B972114F                       ▓█▓ █ █▀▒
 ░ █ ▌░██        DISKCOUNT..........: 22 * 50MB                       ██░▐ █ ░
   ▓█▌▓█▌        SAVED MONEY........: YOU DID!                          ▐█▓▐█▓
 ░ ▒█▐██         DISKNAME...........: keiso_ulpdav                     ██▌█▒ ░
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█▀  ▓░  ▄ █▄▌██ ▄ ▀ ▀█▌▐▓▀         TUTORIAL          ▀▓▌▐█▀ ▀ ▄ ██▐▄█ ▄  ░▓  ▀█
 ▄▀ ▄ ▀▄   ▀▌▓█   ▀▄▄ ▀ ▀▄                           ▄▀ ▀ ▄▄▀   █▓▐▀   ▄▀ ▄ ▀▄
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 █▀█ ▄▓  ▄ ▐▌                                                     ▐▌ ▄  ▓▄ █▀█
 █▀█ █▓ ▄▓▄▀ This course will give you the resources to learn      ▀▄▓▄ ▓█ █▀█
 █▀█ ▓▒  ▒  python and effectively use it analyze and                ▒  ▒▓ █▀█
 █▀█ ▒░  ░  visualize data!                                          ░  ░▒ █▀█
 ▓▀█ ▒░                                                                 ░▒ █▀▓
 ▒▀█ ░▓ You'll get a full understanding of how to program               ▓░ █▀▒
 ░ █  ▒  with Python and how to use it in conjunction with              ▒  █ ░
   ▓  ░  scientific computing modules and libraries to                  ░  ▓
 ░ ▒  ░  analyze data.                                                  ░  ▒ ░
   ░                                                                    ░
   ░ You will also get lifetime access to over 50 example python        ░
   ░  code notebooks, new and updated videos, as well as future         ░
   ░  additions of various data analysis projects that you can use      ░
   ░  for a portfolio to show future employers!                         ░
   ░                                                                    ░
   ░ By the end of this course you will:                                ░
   ░                                                                    ░
   ░ - Have an understanding of how to program in Python.               ░
   ░                                                                    ░
   ░ - Know how to create and manipulate arrays using                   ░
   ░  numpy and Python.                                                 ░
   ░                                                                    ░
   ░ - Know how to use pandas to create and analyze data                ░
   ░  sets.                                                             ░
   ░                                                                    ░
   ░ - Know how to use matplotlib and seaborn libraries to create       ░
   ░  beautiful data visualization.                                     ░
   ░                                                                    ░
   ░ - Have an amazing portfolio of example python data analysis        ░
   ░  projects!                                                         ░
   ░                                                                    ░
   ░ With 50+ lectures and over 8 hours of information and more than 50 ░
   ░  example python code notebooks, you will be                        ░
   ░  excellently prepared for a future in data science!                ░
   ░                                                                    ░
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 ▌ ░▓█                                                                   █▓░ ▐
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