Utilization of public data disclosure and data analysis techniques to understand the dynamics of the COVID-19 pandemic. By completing this module, you will: Understand the basic principles regarding APIs Import real-time data using APIs Able to carry out data cleaning processes and simple transformations, Get to know the unique functions of several packages in tidyverse, Able to create informative, elegant, and straightforward data visualizations, Drawing conclusions on the results of data analysis, Adapting the data analysis process for different case studies.

An analytical technique that divides customer data into several segments that are beneficial for businesses in marketing and CRM

Machine learning algorithms for data science cases in the retail field, namely Market Basket Analysis. Here you will improve business performance by looking for relationships between products based on transaction data.

By completing this module, you will be able to read the tsv type retail dataset into a dataframe, be able to perform the function of aggregation count, sum and average on the dataframe against the period, customer name and product name, be able to create a bar chart of the number of transactions based on the product name, and be able to make a histogram of transactions based on the selling price range.