
Data Science for Business
Read by 
              
              
              
              
                Benjamin Lange
              
              
              
        
      
      
        
            
              Release:
              01/29/2021
            
              Release:
              01/29/2021
            
              Release:
              01/29/2021
            
          
        
      
      
        
        
        
          
            
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                  12h 47m
                
              
            
              
              
            
              
              
            
              
              
            
          
            
  
            
              
              
            
              
              
            
              
              
                
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                  12h 47m
                
              
            
              
              
            
          
            
  
            
              
              
            
              
              
            
              
              
            
              
              
                
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                  12h 47m
                
          
        
      
      
        
        
      
      
        
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Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You'll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company's data science projects. You'll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization-and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you're to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates
                        
                      
                            Release: 
                            
                              
                                  2021-01-29
                              
                                  2021-01-29
                              
                                  2021-01-29
                              
                            
                            
                              
                                
                                  Runtime: 
                                  
                                
                                
                              
                                
                                  Runtime: 
                                  
                                
                                
                              
                                
                                  Runtime: 
                                  
                                
                                
                              
                            
                            
                              
                                
                                  
                                    
                                    
                                    
                                    12h 47m
                                  
                                
                                
                              
                                
                                  
                                    
                                    
                                    
                                    12h 47m
                                  
                                
                                
                              
                                
                                  
                                    
                                    
                                    
                                    12h 47m
                                  
                                
                                
                              
                            
                          
                              Format: 
                              
                                
                                  
                                    audio
                                  
                                
                                  
                                    audio
                                  
                                
                                  
                                    audio
                                  
                                
                              
                          
                          
  
                              Weight: 
                              
                                
                                  
                                    0.0 lb
                                  
                              
                                  
                                    0.98 lb
                                  
                              
                                  
                                    0.55 lb
                                  
                              
                              
  
                          
                              Language: 
                              English
                          
  
                            ISBN: 
                            
                                
                                  9781663727725
                            
                                  9798228722651
                            
                                  9798228722668
                            
                            
                        
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