After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
Course Description
A majority of data is stored in databases and knowing the necessary tools needed to analyze and clean data directly in databases is indispensable. This course focuses on T-SQL, the version of SQL used in Microsoft SQL Server, needed for data analysis. You will learn several concepts in this course such as dealing with missing data, working with dates, and calculating summary statistics using advanced queries. After completing this course, you will have the skills needed to analyze data and provide insights quickly and easily.
Prerequisites
Curriculum
Course outline
1
Summarizing Data
One of the first steps in data analysis is examining data through aggregations. This chapter explores how to create aggregations in SQL Server, a common first step in data exploration. You will also clean missing data and categorize data into bins with CASE statements.
- Data analysis with aggregations50 XP
- Creating aggregations100 XP
- Creating grouped aggregations100 XP
- Dealing with missing data50 XP
- Removing missing values100 XP
- Imputing missing values (I)100 XP
- Imputing missing values (II)100 XP
- Binning data with CASE50 XP
- Using CASE statements100 XP
- Creating several groups with CASE100 XP
2
Math Functions
This chapter explores essential math operations such as rounding numbers, calculating squares and square roots, and counting records. You will also work with dates in this chapter!
3
Processing Data in SQL Server
In this chapter, you will create variables and write while loops to process data. You will also write complex queries by using derived tables and common table expressions.
4
Window Functions
In the final chapter of this course, you will work with partitions of data and window functions to calculate several summary stats and see how easy it is to create running totals and compute the mode of numeric columns.
S
Intermediate SQL Server
Course
Complete
