Become a master at building complex reports! In this course, you will apply all the SQL concepts and functions you have learned in previous courses to build out your very own dashboard. By navigating through an Olympics database, you will become an expert data explorer and learn how to understand novel database quickly and effectively. Since data is never perfect, you will gain valuable strategies to deal with real-world issues commonly found with SQL, including how to remove data duplication and how to turn messy data into clean, organized reports. Lastly, you’ll conquer complex calculations using window functions and layered calculations, all within the same report. This is a perfect class for anyone who will be commonly pulling data from databases and is a great complement for those who use R or Python for data science.
Before you can start building out reports to answer specific questions, you should get familiar with the data. In this chapter, you will learn how to use E:R diagrams and data exploration techniques to get a solid understanding of the data to better answer business-related questions.
Queries can get large, fast. It's important to take a logical approach when building more complicated queries. In this chapter, you will take a step-by-step approach to plan and build a complex query that requires you to combine tables in multiple ways and create different types of fields.
Although it would be nice, data in the real-world is rarely stored in an ideal way. Simply put: data can get messy. In chapter 3, you will learn how to deal with this messy data by fixing data type issues, cleaning messy strings, handling nulls, and removing duplication.
The value of reporting really shows when presenting not-so-obvious insights through complex calculations. In this chapter, you will learn how to build more complicated fields by leveraging window functions and layered calculations. You will gain hands-on experience building two advanced calculations in particular: the percent of a total calculation and the performance index calculation.
In the following tracksSQL for Business Analysts
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