In this lesson, students will be introduced to the module project. They will take a look at how the data is used in the business world to improve aspects of the business as well as predict future outcomes.
Students will be able to:
In this lesson, students will learn how to determine the quality of a dataset. They will explore a few raw datasets to access their quality and completeness.
Students will be able to:
In this lesson, students will practice aggregating data by using different sort and group functions and parameters.
Students will be able to:
In this lesson, students will practice combining data by using different concatenation and merging techniques.
Students will be able to:
In this lesson, students will work on their module projects by gathering and combining data from multiple sources. They will check the quality of the datasets as well as clean, combine and sort them.
Students will be able to:
In this lesson, students will learn different types of bias that can be present and affect data analytics. They will also take time to analyze and interpret their project datasets.
Students will be able to:
In this lesson, students will work on their module projects by creating a business report.
Students will be able to:
In this lesson, students review content with a 10 question end-of-module quiz.
Students will be able to:
