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David Dalsveen
By the end of this project, you will perform data calculations on product data in a MySQL database using SQL commands. MySQL is a widely used relational database. Structured Query Language commands are often used in data analysis to provide information vital...
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By the end of this project, you will perform data calculations on product data in a MySQL database using SQL commands. MySQL is a widely used relational database. Structured Query Language commands are often used in data analysis to provide information vital to business. MySQL workbench provides a User Interface to MySQL data that improves productivity by providing data visualization and an SQL command interface. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Suitable for beginners seeking an introduction to MySQL and SQL
Provides hands-on practice with SQL commands through a MySQL database
Instructed by David Dalsveen, an expert in MySQL and relational databases
Focuses on practical skills for data analysis and querying
Uses MySQL Workbench for data visualization and SQL command interface

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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 Calculate Data in SQL using MySQL Workbench with these activities:
Review database theory
Improve foundational understanding of database concepts before beginning the course.
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  • Read an introductory textbook or online resource on relational database theory.
  • Practice writing simple SQL queries.
Follow SQL tutorials
Reinforce understanding of SQL commands and familiarize with MySQL workbench interface.
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  • Identify reputable online tutorials or courses on SQL and MySQL workbench.
  • Complete several tutorials to gain hands-on experience.
SQL coding exercises
Develop SQL proficiency through regular practice and repetition.
Browse courses on Data Manipulation
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  • Find online platforms or textbooks with SQL coding exercises.
  • Solve a variety of exercises to cover different SQL concepts.
Two other activities
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Connect with MySQL experts
Gain insights and guidance from experienced professionals in the field.
Browse courses on Industry Trends
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  • Attend industry events or online forums.
  • Reach out to individuals on LinkedIn or other professional networking platforms.
Build a simple CRUD database application
Apply SQL skills to a practical project, solidifying understanding of database concepts.
Browse courses on Database Design
Show steps
  • Design a simple database schema with tables and relationships.
  • Implement the database schema using SQL.
  • Create a user interface to interact with the database.

Career center

Learners who complete Calculate Data in SQL using MySQL Workbench will develop knowledge and skills that may be useful to these careers:
Data Analyst
This course, Calculate Data in SQL Using MySQL Workbench, is well-suited for aspiring Data Analysts who seek to master data manipulation and analysis using SQL commands. By leveraging the intuitive MySQL Workbench interface, you'll gain practical experience in extracting and calculating valuable insights from product data. This hands-on training will enhance your ability to effectively analyze and interpret data.
Database Administrator
As a Database Administrator, you'll be responsible for managing and maintaining MySQL databases. This course provides a solid foundation in SQL commands, enabling you to efficiently perform data calculations and ensure the integrity of your databases. By mastering these skills, you'll be well-equipped to handle complex data management tasks and contribute to a seamless database environment.
Business Intelligence Analyst
Business Intelligence Analysts play a crucial role in extracting valuable insights from data to drive informed decision-making. This course equips you with the essential SQL skills to perform data calculations on product data. You'll learn how to analyze trends, identify patterns, and derive meaningful insights that can support business strategies and improve operational efficiency.
Data Scientist
Data Scientists leverage data to solve complex business problems and make predictions. This course provides a strong foundation in SQL, enabling you to perform data calculations and prepare data for advanced analysis. By mastering these skills, you'll be able to contribute to the development of data-driven solutions and drive innovation within organizations.
Software Engineer
Software Engineers play a vital role in building and maintaining software systems. This course provides a solid foundation in SQL, which is an essential skill for data manipulation and analysis. By learning how to perform data calculations in MySQL, you'll be able to contribute to the development of data-centric software solutions and enhance the functionality and usability of applications.

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 Calculate Data in SQL using MySQL Workbench.
Focuses on optimizing MySQL performance for complex data-intensive applications. It explores advanced topics such as query caching, replication techniques, and backup strategies. By understanding these concepts, learners can ensure that their MySQL databases are running efficiently and reliably, enabling faster data calculations and improved application performance.
Introduces Python for data analysis. It covers topics such as data manipulation, visualization, and statistical modeling. By learning Python, learners can expand their capabilities beyond SQL and MySQL Workbench, enabling them to explore more advanced data analysis techniques.
Beginner-friendly guide to SQL queries, making it suitable for those new to data analysis. It covers essential concepts such as data manipulation, aggregation, and subqueries, providing a solid foundation for understanding the MySQL Workbench interface.
Introduces SQL from a data analysis perspective. It covers essential concepts such as data retrieval, aggregation, and visualization. By working through the examples, learners can develop the skills needed to analyze data effectively using SQL.
While not directly related to SQL or data analysis, this book provides valuable insights into software development best practices and principles. It can help learners develop a deeper understanding of software design, testing, and maintenance, which are essential skills for aspiring data analysts and database administrators.
Similar to the previous book, this one introduces the R programming language and its capabilities for data science. While not directly related to SQL or MySQL Workbench, it can provide learners with a broader perspective on data analysis and visualization techniques.

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