- Learn the concepts and types of data and some types of bias that may occur when analyzing data.- Learn and use spreadsheets to help perform data analysis such as data cleaning, data preparation and data visualization.- Use advanced queries such as Window function, Join, subquery, and CTE to find insights from data. - Use python programming language to perform data cleaning, data preparation, data visualization, and create simple models to predict the value of data.- Using tableau as a tool for visualization and creating data dashboards to make data display more attractive and easy to understand so that it can help improve understanding of data and facilitate decision-making efforts.- Work on a final project to analyze data from a given dataset regarding the learning patterns of job training class users on the MasaDepan.Ku platform by applying the knowledge gained and presenting it to senior data analysts and data analysts to get feedback and assessment.