Finished R Modules In DQLab😃

Hi everyone! I have finished all modules in DQLab for R programming, and now I'm currently learning Python and SQL. This course, separated into three classes. First, for preparation class, it has module about introduction R and fundamental for data science. It's learning about function, library, and layout in R.

Next, for fundamental class, it's learning about data preparation and data visualization. Especially about visualization, it begins for basic (introduction structure-function in ggplot2) until for advanced (modification and make animated graph/chart) also data manipulation using dplyr function. This class was more complex and challenged me to pay attention to detail because if I got wrong in a single command or punctuation, I just checked it from the start and repeated all of the code.

Last, class of application of R in industrial. It's contained more modules than in two types before. Learning about decision trees for credit risk analysis, a apriori algorithm for market basket analysis, clustering for customer segmentation, dimension reduction for credit rating, web scraping using JSON, and application R in the sensory field. I've got much knowledge and more understand about R programming and its application. I hope it can inspire all of you who start your journey as a data scientist or analyst!✨🙌

This file is for all my certificate for completed R modules😊

Certificate R Modules DQLab.pdf

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