Although the most flexible and powerful data analytics tools arguably lie within packages of coding languages such as Python and R, tools like Google Analytics and Mixpanel cannot be ignored, as they are significantly more approachable for less technical individuals. Without knowing how to code, individuals can be empowered by these tools to compare data as segments, analyze trends over time and between different features, understand correlational relationships, visualize data, and wield a platform that can be mutually utilized by nontechnical strategists and executives along with more technical data scientists and analysts, enabling teams of widely different technical skill to…

Eric Likhtiger

Operating at the intersection of Technology, Ecology, and Arts

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