Challenge & selection    Since I started growing up, I realized that I had the ability to learn a better way by making visual  charts or some kind of visual aid to help me learn. Through all these years I have been using  visual tools to help me present ideas to others, to help me understand certain problems that I  have to resolve and help me see them from another perspective. I mostly used the tool of  visualization through the beginning of my data science career to understand the concept of  coding and how it works.    Application    For this section I will explain how I managed to use the visualization tool for my learning  experience in Data Science.    In the beginning I had a lot of trouble understanding the concepts and the structure of the code  and how it worked. To improve my learning, I decided to make some charts and visualizations  where I would represent the structure of the code with arrows and figures to better understand  what was going on. The first step in my learning curve was to read the code and understand  what it was doing line by line. In the following step, I enumerated the steps in the structure of  the code and drew some arrows to be able to visualize the process of the code better. The final  step is to revise the drawings I have made I try to synthetize it by creating a more appealing  visualization tool and be able to see the structure of the code in some simple visualizations.    Insight & Approach    Throughout this whole process I learned multiple things. The first one is the drawings and ideas  have to be very organized, you have to be able to understand the visualization with no  problem. The next one is to keep it simple and synthetized. You don’t need the visualizations to  seem very cluttered, you want them to be appealing to the eye. The key in the visualization tool  is that the perspective of this visualization will be different for several people and will generate  some insightful discussions. It is one of the most important steps in design thinking activities.


Challenge & selection Since I started growing up , I realized that I had the ability to learn a better way by making visual charts or some kind of visual aid to help me learn . Through all these years I have been using visual tools to help me present ideas to others , to help me understand certain problems that I have to resolve and help me see them from another perspective . I mostly used the tool of visualization through the beginning of my data science career to understand the concept of coding and how it works . Application For this section I will explain how I managed to use the visualization tool for my learning experience in Data Science . In the beginning I had a lot of trouble understanding the concepts and the structure of the code and how it worked . To improve my learning , I decided to make some charts and visualizations where I would represent the structure of the code with arrows and figures to better understand what was going on . The first step in my learning curve was to read the code and understand what it was doing line by line . In the following step , I enumerated the steps in the structure of the code and drew some arrows to be able to visualize the process of the code better . The final step is to revise the drawings I have made I try to synthetize it by creating a more appealing visualization tool and be able to see the structure of the code in some simple visualizations . Insight & Approach Throughout this whole process I learned multiple things . The first one is the drawings and ideas have to be very organized , you have to be able to understand the visualization with no problem . The next one is to keep it simple and synthetized . You do n’t need the visualizations to seem very cluttered , you want them to be appealing to the eye . The key in the visualization tool is that the perspective of this visualization will be different for several people and will generate some insightful discussions . It is one of the most important steps in design thinking activities .