Web Development For Data Scientists
Reviewing all of the different web-development tasks Data Scientist might do.
introduction
One of the most common misconceptions about data science is an assumption that the discipline is solely relegated to machine-learning and Artificial Intelligence (A.I.). The reality of the data science role lies in stark contrast to this perception. The main requirement for any Data Scientist is not to build models, but to have a deep understanding of features and a familiarity with common data-processing techniques. Without data-processing, it is not even possible to fit a predictive model.
Manipulating data to fit modeling or testing parameters is typically known as Data-Engineering, one of the many disciplines which together form the data science umbrella. Some roles are more oriented towards Data-Engineering, whereas other roles may be more oriented towards modeling, analytics, or testing — data science does not describe one job, but instead one capability. Data-Engineering itself is a broad subject, as the domain could suggest anything from building APIs to simply filtering missing values or downloading a CSV file. Whether we are wrangling, pipe-lining, or simply processing data, all of these techniques fall under the description of Data-Engineering.
