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DEILAB Data Science focuses on different careers in science that use data analysis in the modern day. With a holistic approach to scientific method and engineering design process; students understand how to identify, gather and preserve data for scientific advancement. Emboldening young people think about shaping their future and create strategies for innovation. The experience grows weekly with a variety of classes from forensic science, alternative energy, cyber security and more!
Recommended for Grades 4th -12th.
Virtual and In-Person Classes Available.
 
        
        
      
    
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       DesignData determines the quality of ideas and is a critical skill for any and all pursuits. Plan and carry out tests with controlled variables to understand problems and develop solutions. 
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       EngineeringAnalyze, benchmark, and identify aspects of experiments that can be improved. Evaluate results-oriented designs to determine how well they meet the criteria of constraints and creative activity. 
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       InnovationReview successful designs with consistent data that improve overall project adaptability. Measure the innovation economy in order to provide timely insights into experiment strengths and weaknesses. 
 
                         
              
             
          
        
               
          
        
               
          
        
               
          
        
               
          
        
               
          
        
               
          
        
               
          
        
               
          
        
               
          
        
               
          
        
               
          
        
               
          
        
               
          
        
               
          
        
               
          
        
               
          
        
               
          
        
              