Interactive Course

Intermediate SQL Server

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

  • 4 hours
  • 14 Videos
  • 47 Exercises
  • 13,780 Participants
  • 3,850 XP

Loved by learners at thousands of top companies:

paypal-grey.svg
forrester-grey.svg
mercedes-grey.svg
t-mobile-grey.svg
lego-grey.svg
uber-grey.svg

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.

  2. 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.

  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.

  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.

What do other learners have to say?

Devon

“I've used other sites, but DataCamp's been the one that I've stuck with.”

Devon Edwards Joseph

Lloyd's Banking Group

Louis

“DataCamp is the top resource I recommend for learning data science.”

Louis Maiden

Harvard Business School

Ronbowers

“DataCamp is by far my favorite website to learn from.”

Ronald Bowers

Decision Science Analytics @ USAA

Ginger Grant
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.

See More
Collaborators
  • Sascha Mayr

    Sascha Mayr

  • Sumedh Panchadhar

    Sumedh Panchadhar

Icon Icon Icon professional info