Data Analytics Specialization is a course that is light in theory and perfect for beginners/non-programmers who are looking to learn data analysis. The course has an easier learning curve and takes a more accessible approach by getting participants to understand the “how” part first, rather than a detailed breakdown of the “why”. It is modeled after real-world Analytics apps, with elements of storing and querying from SQL, preprocessing with pandas, reshaping data, and producing visualization. An example of an application that uses all of these elements we teach is pedagogyapp.com.
In this program, students will learn how to use the Python programming language for Data Analysis. Students are frequently prompted to write short snippets of code continually before explaining the underlying theoretical frameworks. Instead of mastering the syntactic design of the Python programming language, then moving into data structures, and then the pandas library, and then the mathematical details in an imputation algorithm, and its code implementation; we would do the opposite: Implement the imputation, then a brief explanation of why it works and applicational considerations (what to look out for, what are assumptions it made, when not to use it, etc).