ADDISON WESLEY PROFESSIONAL-PANDAS DATA ANALYSIS WITH PYTHON FUNDAMENTALS TUTORIAL-kEISO

          . + [ k E I S O ] + .                             
   g r a c e o u s l y  b r i n g s  u !                  
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          ADDISON_WESLEY_PROFESSIONAL                   
 PANDAS_DATA_ANALYSIS_WITH_PYTHON_FUNDAMENTALS      
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       [ E N G L i S H ]                                       
      RELEASED EXCLUSIVLY                                      
      FOR SCENE USAGE ON                             
         2022.04.27                               
        [#DISC]                                   
        48 X 50MiB                                  
   [PUBLISHER]: ADDISON WESLEY PROFESSIONAL                       
   [RUNTIME  ]: 03:19:00 hrs        [LINK]: https://v.gd/CLObvM   
   [LEVEL    ]: INTERMEDIATE        [TYPE]: DATA SCIENCE          
   [ISO SIZE ]: 2.4GiB              [ISBN]: 9780134692272         
   [PUB DATE ]: 2017-02             [$$$$]: $99,999,999.99        
   [DISKNAME ]: keiso-9780134692272                               
   [AUTHOR   ]: Daniel Chen                                       
   [ISO MD5  ]: 54a11499dedabef5b2e122d7428674de                  
   Pandas Data Analysis with Python Fundamentals LiveLessons      
   provides analysts and aspiring data scientists with a practical
   introduction to Python and pandas, the analytics stack that    
   enables you to move from spreadsheet programs such as excel    
   into automation of your data analysis workflows.               
   In this video training, Daniel starts by introducing Python &  
   pandas and why they are great tools for data analysis. He then 
   covers installing and starting Python. The video then moves    
   into the basics of working with data sets in Python and with   
   pandas, followed by plotting and visualization, data assembly  
   and manipulators, missing data and tidy data. After watching   
   this video, analysts and those new to data science will        
   understand why Python and pandas are so popular with data      
   scientists and should be able to create automated data work-   
   flows.                                                         
   About the Instructor:                                          
   Daniel Chen, trainer and data scientist, is a graduate student 
   in the interdiscplinary Ph.D. program in genetics, bioinform-  
   atics & computational biology (GBCB) at Virginia Polytechnic   
   Institute and State University (Virginia Tech). He is involved 
   with Software Carpentry and Data Carpentry as an instructor &  
   lesson maintainer. He completed his master's degree in public  
   health at Columbia University Mailman School of Public Health  
   in epidemiology with a certificate in advanced epidemiology &  
   is currently extending his master's thesis work on attitude    
   diffusion in social networks in the Social and Decision        
   Analytics Labratory under the Biocomplexity Institute of VA-   
   Tech.                                                          
   Skill Level - Beginner to Intermediate                         
   What You Will Learn:                                           
    - Installing and running python.                              
    - Loading data sets into pandas and beginning to assess &     
      analyze data.                                               
    - Using pandas data structures and importing/exporting data.  
    - Combining multiple data sets.                               
    - Dealing with missing data.                                  
    - Tidying and reshaping data.                                 
  Who should take this course                                     
  Analysts and aspiring data scientists looking to move beyond    
  spreadsheets into automated data workflows.                     
  Course Requirements:                                            
    - Basic understanding of programming and development.         
    - Some familiarity with basic data analysis.                  
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