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Mihaela Danci
In this course, you’ll learn essential skills that are needed to become proficient in querying data using T-SQL including logical query execution, creating single table queries to filter and aggregate data, and combining data from multiple tables.
Read more
In this course, you’ll learn essential skills that are needed to become proficient in querying data using T-SQL including logical query execution, creating single table queries to filter and aggregate data, and combining data from multiple tables.
Read more
In this course, you’ll learn essential skills that are needed to become proficient in querying data using T-SQL including logical query execution, creating single table queries to filter and aggregate data, and combining data from multiple tables.
SQL is a fundamental skill in data management and data analysis that empowers you to handle complex scenarios with ease.
In this course, Querying Data with SQL Server, you’ll gain the ability to extract, manipulate, and analyze data required to unlock valuable insights.
First, you’ll learn the structure and basic components of an SQL query.
Next, you’ll discover how to retrieve data from one or multiple tables while performing calculations on groups of rows.
Finally, you’ll explore more advanced ways of retrieving data by working with subqueries, common table expressions, and window functions.
When you’re finished with this course, you’ll have the SQL skills and knowledge needed to uncover hidden insights in your data.
Register for this course and see more details by visiting:
OpenCourser.com/course/imlmgt/querying
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What's inside
Syllabus
Course Overview
Selecting Data
Aggregating Data
Joining Data
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Syllabus
Course Overview
Selecting Data
Aggregating Data
Joining Data
Read more
Cleaning Data
Using Subqueries and CTEs
Working with Window Functions
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops essential data querying skills using T-SQL, indispensable for data management and analysis
Teaches logical query execution, enabling efficient data retrieval
Covers single table queries for filtering and aggregating data, empowering learners to extract meaningful insights
Explores multi-table queries for combining data from different sources, enhancing data analysis capabilities
Introduces subqueries and common table expressions (CTEs) for complex data retrieval, expanding problem-solving skills
Examines window functions for advanced data manipulation, aiding in complex analysis scenarios
Save this course
Save Querying Data with SQL Server to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Querying Data with SQL Server with these
activities:
Review prior T-SQL experience
Show steps
Refreshes existing T-SQL experience to establish a strong foundation for this course.
Browse courses on
SQL
Show steps
-
Review SQL syntax, datatypes, and operators
-
Create a practice database and tables
-
Write basic SELECT, INSERT, UPDATE, and DELETE statements
Review SQL Fundamentals
Show steps
Refresh your understanding of basic SQL concepts and syntax before starting the course.
Browse courses on
Databases
Show steps
-
Review online tutorials or documentation on SQL basics.
-
Complete practice exercises on simple SQL queries.
Compile and review course materials
Show steps
Strengthens understanding of course concepts by revisiting and organizing materials.
Show steps
-
Gather and organize lecture notes, videos, and assignments
-
Review materials and highlight key concepts
-
Create summaries or mind maps to consolidate learning
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Seek guidance from experienced SQL professionals
Show steps
Connects students with experts in the field, providing access to valuable insights and support.
Show steps
-
Identify experienced SQL professionals in your network or online
-
Reach out and request mentorship or guidance
-
Attend their presentations or workshops
Follow SQL tutorials on Pluralsight
Show steps
Complements course material with additional guided tutorials to reinforce concepts.
Show steps
-
Identify relevant tutorials on Pluralsight
-
Complete tutorials on topics covered in the course
-
Practice exercises provided in the tutorials
Follow SQL Querying Tutorials
Show steps
Supplement your learning by following guided tutorials that demonstrate practical SQL querying techniques.
Browse courses on
Data Retrieval
Show steps
-
Identify reputable online platforms or resources that offer SQL tutorials.
-
Select tutorials that cover topics relevant to the course.
-
Follow the tutorials step-by-step and practice the queries.
Solve SQL practice problems
Show steps
Provides hands-on practice to solidify understanding of SQL concepts.
Show steps
-
Find online SQL practice problems
-
Solve problems using SQL queries
Create a data analysis project
Show steps
Applies SQL skills to a real-world scenario, promoting deeper understanding and retention.
Show steps
-
Identify a business problem or research question
-
Design a data analysis plan using SQL
-
Execute the analysis and interpret the results
-
Create a report or presentation summarizing the findings
Participate in SQL competitions
Show steps
Challenges students to apply their SQL skills in a competitive environment, fostering excellence and retention.
Show steps
-
Identify relevant SQL competitions
-
Prepare for the competition by practicing SQL queries
-
Participate in the competition and apply SQL skills to solve problems
Mentor junior SQL developers
Show steps
Strengthens understanding of SQL concepts by explaining them to others and reinforcing the knowledge.
Show steps
-
Identify opportunities to mentor junior SQL developers
-
Provide guidance and support on SQL queries and concepts
-
Review their code and provide constructive feedback
Review prior T-SQL experience
Show steps
Refreshes existing T-SQL experience to establish a strong foundation for this course.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Review SQL syntax, datatypes, and operators
- Create a practice database and tables
- Write basic SELECT, INSERT, UPDATE, and DELETE statements
Review SQL Fundamentals
Show steps
Refresh your understanding of basic SQL concepts and syntax before starting the course.
Browse courses on
Databases
Show steps
Show steps
Show steps
- Review online tutorials or documentation on SQL basics.
- Complete practice exercises on simple SQL queries.
Compile and review course materials
Show steps
Strengthens understanding of course concepts by revisiting and organizing materials.
Show steps
Show steps
Show steps
- Gather and organize lecture notes, videos, and assignments
- Review materials and highlight key concepts
- Create summaries or mind maps to consolidate learning
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Seek guidance from experienced SQL professionals
Show steps
Connects students with experts in the field, providing access to valuable insights and support.
Show steps
Show steps
Show steps
- Identify experienced SQL professionals in your network or online
- Reach out and request mentorship or guidance
- Attend their presentations or workshops
Follow SQL tutorials on Pluralsight
Show steps
Complements course material with additional guided tutorials to reinforce concepts.
Show steps
Show steps
Show steps
- Identify relevant tutorials on Pluralsight
- Complete tutorials on topics covered in the course
- Practice exercises provided in the tutorials
Follow SQL Querying Tutorials
Show steps
Supplement your learning by following guided tutorials that demonstrate practical SQL querying techniques.
Browse courses on
Data Retrieval
Show steps
Show steps
Show steps
- Identify reputable online platforms or resources that offer SQL tutorials.
- Select tutorials that cover topics relevant to the course.
- Follow the tutorials step-by-step and practice the queries.
Solve SQL practice problems
Show steps
Provides hands-on practice to solidify understanding of SQL concepts.
Show steps
Show steps
Show steps
- Find online SQL practice problems
- Solve problems using SQL queries
Create a data analysis project
Show steps
Applies SQL skills to a real-world scenario, promoting deeper understanding and retention.
Show steps
Show steps
Show steps
- Identify a business problem or research question
- Design a data analysis plan using SQL
- Execute the analysis and interpret the results
- Create a report or presentation summarizing the findings
Participate in SQL competitions
Show steps
Challenges students to apply their SQL skills in a competitive environment, fostering excellence and retention.
Show steps
Show steps
Show steps
- Identify relevant SQL competitions
- Prepare for the competition by practicing SQL queries
- Participate in the competition and apply SQL skills to solve problems
Mentor junior SQL developers
Show steps
Strengthens understanding of SQL concepts by explaining them to others and reinforcing the knowledge.
Show steps
Show steps
Show steps
- Identify opportunities to mentor junior SQL developers
- Provide guidance and support on SQL queries and concepts
- Review their code and provide constructive feedback
Career center
Learners who complete Querying Data with SQL Server will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A Data Analyst collects, cleans, and analyzes data to help businesses understand their customers, make better decisions, and improve their operations. A background in querying data is crucial for this role as it allows you to extract and analyze data from various sources. This course will help you gain the skills needed to perform complex data analysis and uncover valuable insights that can drive business decisions.
Business Analyst
Business Analyst
A Business Analyst helps businesses identify and solve problems by analyzing data, understanding business processes, and recommending solutions. Querying data is essential for this role as it allows you to gather and analyze data from multiple sources to identify trends, patterns, and insights. This course will provide you with the skills needed to extract and interpret data to support business decision-making.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and infrastructure to support data analysis and business intelligence. Querying data is a fundamental skill for this role as it allows you to extract and transform data from various sources and ensure its quality and consistency. This course will help you build a strong foundation in data querying and provide you with the skills needed to manage and process large volumes of data.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases, ensuring their performance, security, and availability. Querying data is a core responsibility of this role as it allows you to troubleshoot database issues, optimize performance, and recover data in case of failures. This course will provide you with a comprehensive understanding of data querying techniques and help you build the skills needed to effectively manage and maintain databases.
Data Scientist
Data Scientist
A Data Scientist uses statistical and machine learning techniques to extract insights from data and build predictive models. Querying data is a fundamental skill for this role as it allows you to access and analyze large datasets to identify patterns, trends, and anomalies. This course will provide you with a solid foundation in data querying and help you develop the skills needed to prepare data for analysis and modeling.
BI Analyst
BI Analyst
A BI Analyst gathers, analyzes, and interprets data to provide insights and support business decision-making. Querying data is a key skill for this role as it allows you to extract and analyze data from various sources to identify trends, patterns, and insights. This course will provide you with a comprehensive understanding of data querying techniques and help you build the skills needed to effectively gather and analyze data to support business decisions.
Data Journalist
Data Journalist
A Data Journalist uses data to tell stories and communicate insights to the public. Querying data is an essential skill for this role as it allows you to extract and analyze data from various sources to find compelling stories and uncover hidden trends. This course will provide you with the skills needed to gather, clean, and analyze data to create engaging data-driven stories.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. Querying data is a useful skill for this role as it allows you to interact with databases, retrieve data, and perform data analysis. This course may help you build a foundation in data querying and provide you with the skills needed to effectively manage data within software applications.
Web Developer
Web Developer
A Web Developer designs and develops websites and web applications. Querying data is a useful skill for this role as it allows you to interact with databases, retrieve data, and display it on web pages. This course may help you build a foundation in data querying and provide you with the skills needed to effectively manage data within web applications.
IT Manager
IT Manager
An IT Manager plans, implements, and manages an organization's IT systems and infrastructure. Querying data is a useful skill for this role as it allows you to monitor system performance, troubleshoot issues, and identify areas for improvement. This course may help you build a foundation in data querying and provide you with the skills needed to effectively manage and analyze data within IT systems.
Project Manager
Project Manager
A Project Manager plans, executes, and completes projects. Querying data is a useful skill for this role as it allows you to track project progress, identify risks, and communicate project status to stakeholders. This course may help you build a foundation in data querying and provide you with the skills needed to effectively manage and analyze data within project management processes.
Product Manager
Product Manager
A Product Manager manages the development and launch of products. Querying data is a useful skill for this role as it allows you to track product performance, identify customer needs, and make informed decisions about product development. This course may help you build a foundation in data querying and provide you with the skills needed to effectively manage and analyze data within product management processes.
Financial Analyst
Financial Analyst
A Financial Analyst provides financial advice and guidance to individuals and organizations. Querying data is a useful skill for this role as it allows you to analyze financial data, identify trends, and make informed investment decisions. This course may help you build a foundation in data querying and provide you with the skills needed to effectively manage and analyze data within financial analysis processes.
Marketing Analyst
Marketing Analyst
A Marketing Analyst analyzes marketing campaigns and provides insights to improve marketing strategies. Querying data is a useful skill for this role as it allows you to track campaign performance, identify customer behavior, and make informed decisions about marketing investments. This course may help you build a foundation in data querying and provide you with the skills needed to effectively manage and analyze data within marketing analysis processes.
Sales Manager
Sales Manager
A Sales Manager leads and manages a team of sales professionals. Querying data is a useful skill for this role as it allows you to track sales performance, identify customer needs, and make informed decisions about sales strategies. This course may help you build a foundation in data querying and provide you with the skills needed to effectively manage and analyze data within sales management processes.
For more career information including salaries, visit:
OpenCourser.com/course/imlmgt/querying
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Querying Data with SQL Server.
Provides a comprehensive overview of the performance tuning techniques that can be used to improve the performance of SQL Server queries. It covers a wide range of topics, including query optimization, index tuning, and hardware optimization.
Provides a detailed explanation of how SQL Server executes queries. It covers a wide range of topics, including the query optimizer, the execution plan, and the performance monitoring tools.
Save
Provides a practical guide to query tuning in SQL Server. It covers a wide range of topics, including query optimization, index tuning, and hardware optimization.
Provides a comprehensive overview of the data manipulation capabilities of SQL Server. It covers a wide range of topics, including data types, data manipulation statements, and data integrity.
Provides a comprehensive overview of the SQL Server 2016 Reporting Services tool. It covers a wide range of topics, including report creation, report management, and report deployment.
Provides a comprehensive overview of the SQL Server 2016 Integration Services tool. It covers a wide range of topics, including data integration, data transformation, and data cleansing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/imlmgt/querying
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Time
116 hours
Level
Introductory
Via
Pluralsight
Instructor
Mihaela Danci
Language
English
Good to know
Develops essential data querying skills using T-SQL, indispensable for data management and analysis
Teaches logical query execution, enabling efficient data retrieval
Covers single table queries for filtering and aggregating data, empowering learners to extract meaningful insights
Explores multi-table queries for combining data from different sources, enhancing data analysis capabilities
Introduces subqueries and common table expressions (CTEs) for complex data retrieval, expanding problem-solving skills
Examines window functions for advanced data manipulation, aiding in complex analysis scenarios
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