Data Analyst (DA) Roadmap ~ taudata Academy

Data Analyst (DA) Roadmap

DA Roadmap is a Core Modules (CM) that consists of a set of topics that need to be taken by all data related profession: DA, DS, DE, and even AI engineer. Nevertheless, all topics within a module do not necessarily need to be taken by all data related professions. For instance, in the Statistical foundation for data science module, a DE would just need to take several basic topics, while a DS is recommended to pass all of the topics available in that module. Vice versa in Database fundamental core module a DA/DS would only need to take some topics whereas a DE need to master all of the topics in that module.

We also would like to emphasize that even within these core modules, there are advanced topics listed in the syllabi. These topics are optional and only recommended once a data professional complete all of CMs and some recommended modules. More details are given in each of the advanced topics information.

The user will learn core skills as they mastered the core modules. These core skills will make the “why” questions in the latter modules much easier to understand. In other words, the fundamental understanding in CM is one of the key factors to understand not only the strengths and weakness in advanced models but also even to extend the models in to a novel approach to solve a more challenging/complex data challenges in the future. In short, CM are the basic must-have skills for data professionals.

Some of the topics in the core modules includes discussions on the ever-evolving challenges in DA/DS roles in introduction to data science and big data module, best practices in programming for data science in foundations of algorithms and data structures module, and how linear models becomes the foundation of most advanced data science models in (general) linear models module. Modules in CM category is as followings:

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