Elective Modules (EM)

Elective Modules for Data Analysts - taudata Indonesia ver 1.0.
Elective Modules for Data Analysts – taudata Indonesia ver 1.0.

EMs are modules that will enhance data professionals’ skills. Nevertheless, in industrial context a data professional need not to be an expert on all of the modules available in EM, hence it is elective based on the user’s daily tasks/responsibilities. In this section we elaborate details on modules that are recommended for data analysts. In total there are three modules, namely Sampling techniques and experimental design, Time Series Analysis, and Soft Skills for Data Professionals. These modules are also recommended for Data Scientists and we assume that in order to become proficient DS then one need to become a sound DA first.

  1. Sampling Techniques and Experimental Design (STED)
  2. Time Series Analysis (TSA)
  3. Supervised Learning – Classification Models (SLCM)
  4. Unsupervised Learning – Interdependence Methods (ULIM)
  5. Spatial Data Analysis (SDA)
  6. Applied Data Mining (ADM)
  7. Natural Language Processing and Text Mining (LPTM)
  8. … (to be continued)