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Intermediate SQL Server

In this course, you will use T-SQL, the flavor of SQL used in Microsoft's SQL Server for data analysis.

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4 Hours14 Videos47 Exercises41,058 Learners3850 XP Data Analyst TrackSQL Server Fundamentals Track

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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.

  1. 1

    Summarizing Data

    Free

    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.

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    Data analysis with aggregations
    50 xp
    Creating aggregations
    100 xp
    Creating grouped aggregations
    100 xp
    Dealing with missing data
    50 xp
    Removing missing values
    100 xp
    Imputing missing values (I)
    100 xp
    Imputing missing values (II)
    100 xp
    Binning data with CASE
    50 xp
    Using CASE statements
    100 xp
    Creating several groups with CASE
    100 xp
  2. 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.

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In the following tracks

Data AnalystSQL Server Fundamentals

Collaborators

sumedhpanchadharSumedh PanchadharrichieRichie Cotton
Ginger Grant Headshot

Ginger Grant

Principal Consultant, Desert Isle Group

Ginger is a Data Platform MVP and Microsoft Certified Trainer who shares what she has learned working with data technology with clients by providing training and talks to people around the world. Recently she became an author on the book Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning. She runs her own data consultancy practice to help clients analyze data using many different techniques.
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