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David Dalsveen

By the end of this project, you will clean up MySQL student data in a MySQL database using SQL commands in MySQL Workbench.

MySQL is a widely used relational database. Often data is incorrectly formatted, duplicated and/or lacks the granularity to perform proper analysis of a database. MySQL workbench provides a User Interface to MySQL data that allows the data analyst to Perform queries to check data, repair data, create tables, and insert data to clean up a database.

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By the end of this project, you will clean up MySQL student data in a MySQL database using SQL commands in MySQL Workbench.

MySQL is a widely used relational database. Often data is incorrectly formatted, duplicated and/or lacks the granularity to perform proper analysis of a database. MySQL workbench provides a User Interface to MySQL data that allows the data analyst to Perform queries to check data, repair data, create tables, and insert data to clean up a database.

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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What's inside

Syllabus

Clean Data in SQL using MySQL Workbench
By the end of this project, you will perform data calculations on product data in a MySQL database using SQL commands.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers foundational data cleanup techniques that are used in data analysis
Practical, hands-on learning experience with MySQL Workbench, a widely used data management tool
Taught by experienced instructors with demonstrated expertise in data management
Focuses on data cleanup and preparation, which are essential skills for data analysts and data scientists
Requires prior knowledge of SQL and relational databases, which may be a barrier for beginners

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Reviews summary

Easy to understand concepts

According to students, concepts are easy to understand with lectures and assignments being engaging. Other than a few complaints about difficult exams, the course is largely positive with some students recommending it.
Easy concepts.
"good"
Assignments are engaging
Some difficult exams

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 Clean Data in SQL using MySQL Workbench with these activities:
Review DBA
Refresh your knowledge of the basics of database administration which will make it easier for you to grasp the more advanced concepts taught in this course.
Browse courses on Database Administration
Show steps
  • Review the different types of databases and their uses.
  • Review the basics of SQL.
  • Review the basics of database design.
Review MySQL basics
Start the course with a strong foundation in MySQL basics to ensure a smooth learning experience.
Browse courses on MySQL
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  • Revisit key concepts of relational databases and SQL queries.
  • Review MySQL data types, operators, and functions.
Organize course materials for easy reference
Stay organized and improve your learning efficiency by compiling and reviewing all relevant course materials.
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  • Create a central location to store all course notes, assignments, and resources.
  • Review materials regularly to reinforce your understanding.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Follow MySQL Workbench tutorials
Following tutorials will help you learn how to use MySQL Workbench which is a essential tool for cleaning up databases that will be covered in this course.
Browse courses on MySQL Workbench
Show steps
  • Find tutorials on MySQL Workbench that cover the basics of the software.
  • Follow the tutorials and complete the exercises.
  • Practice using MySQL Workbench on your own.
Follow MySQL tutorials and workshops
Supplement your course learning with guided tutorials and workshops to enhance your MySQL skills.
Browse courses on MySQL
Show steps
  • Search for online tutorials and workshops on MySQL.
  • Select resources that align with your learning style and goals.
  • Follow the instructions and practice exercises provided.
Join a MySQL study group
Engage with peers to discuss MySQL concepts, share knowledge, and provide mutual support.
Browse courses on MySQL
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  • Find or create a study group with fellow MySQL learners.
  • Meet regularly to discuss course topics and assignments.
  • Collaborate on practice exercises and projects.
Practice SQL commands
Practicing SQL commands will help you become more proficient in using the language which will make it easier for you to complete the assignments in this course.
Browse courses on SQL
Show steps
  • Find online SQL practice exercises.
  • Complete the exercises.
  • Review your answers and identify areas where you need more practice.
Solve MySQL practice problems
Enhance your understanding of MySQL concepts by solving practice problems and exercises.
Browse courses on SQL Queries
Show steps
  • Find online resources or textbooks with MySQL practice problems.
  • Set aside dedicated time for practicing SQL queries.
  • Review your solutions and identify areas for improvement.
Create a MySQL data analysis project
Apply your MySQL skills to a real-world project, fostering a deeper understanding of data analysis techniques.
Browse courses on Data Visualization
Show steps
  • Identify a dataset that aligns with your interests.
  • Import the data into MySQL workbench.
  • Perform data analysis using SQL queries and visualizations.
  • Document your findings and insights.
Develop a MySQL-based data management system
Apply your acquired MySQL knowledge to design and implement a data management system, strengthening your practical skills.
Browse courses on Data Management
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  • Identify a real-world problem that requires data management.
  • Design a MySQL database schema to store and organize the data.
  • Implement the database using MySQL workbench.
  • Create user interfaces to interact with the data.
Contribute to MySQL open-source projects
Enhance your MySQL skills and make meaningful contributions by participating in open-source projects.
Browse courses on MySQL
Show steps
  • Identify open-source MySQL projects that align with your interests.
  • Review the documentation and codebase.
  • Suggest or implement improvements to the project.

Career center

Learners who complete Clean Data in SQL using MySQL Workbench will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts utilize SQL to clean, organize, and interpret data to identify trends, patterns, and insights. This course provides a strong foundation in SQL, a widely used relational database, that can effectively prepare individuals for a career as a Data Analyst. It equips learners with practical skills in data cleanup, data formatting, and data repair, enabling them to manage and analyze data effectively. Furthermore, the course emphasizes the importance of data accuracy and integrity, which is crucial for reliable data analysis and insightful decision-making.
Database Administrator
Database Administrators manage and maintain database systems. This course provides hands-on experience with MySQL Workbench, a popular tool used by Database Administrators for database management and administration. It covers essential skills such as data cleanup, data integrity checks, and data recovery, enabling individuals to effectively manage and optimize database systems. By gaining proficiency in MySQL Workbench through this course, learners can enhance their employability as Database Administrators.
Business Analyst
Business Analysts use data to understand business processes and identify areas for improvement. This course provides a solid understanding of SQL, a key tool for data analysis and interpretation. It enables learners to extract, clean, and analyze data to draw meaningful conclusions and make informed business decisions. By mastering SQL and data cleanup techniques through this course, individuals can contribute effectively to data-driven decision-making and improve business outcomes.
Data Scientist
Data Scientists use advanced statistical and machine learning techniques to extract knowledge from data. This course provides a strong foundation in SQL, a widely used language for data manipulation and analysis. It equips learners with skills in data cleanup, data transformation, and data integration, which are essential for data preparation in data science projects. By gaining proficiency in SQL through this course, individuals can enhance their ability to manage and analyze large and complex datasets, a critical skill for success in data science.
Data Engineer
Data Engineers design, build, and maintain data pipelines and data infrastructure. This course provides a practical understanding of SQL, a fundamental technology used in data engineering. It covers topics such as data modeling, data integration, and data quality management, enabling individuals to build and manage efficient data pipelines. By gaining hands-on experience with SQL through this course, learners can enhance their employability as Data Engineers and contribute effectively to the development and maintenance of data-driven systems.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course provides a strong foundation in SQL, a widely used database technology often integrated into software applications. It equips learners with skills in data manipulation, data storage, and data retrieval, enabling them to effectively manage data within software systems. By mastering SQL through this course, individuals can enhance their ability to develop data-driven applications and contribute to the creation of efficient and reliable software systems.
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful for individuals interested in pursuing a career in Information Security, as it provides a basic understanding of SQL, a technology frequently used in database security and data protection. By gaining exposure to SQL through this course, learners can enhance their overall knowledge of data management and security concepts.
Product Manager
Product Managers are responsible for the development and launch of new products. This course may be useful for Product Managers who need to understand the technical aspects of data management and analysis. By gaining familiarity with SQL through this course, Product Managers can better collaborate with technical teams and make informed decisions based on data insights.
Marketing Analyst
Marketing Analysts analyze marketing campaigns and customer data to understand customer behavior and optimize marketing strategies. This course may provide a basic understanding of SQL, a tool used for data analysis and reporting. By gaining exposure to SQL through this course, Marketing Analysts can enhance their ability to extract and interpret data, enabling them to make data-driven marketing decisions.
Financial Analyst
Financial Analysts provide financial advice and guidance to individuals and organizations. This course may be útil for Financial Analysts who need to analyze financial data and make informed investment decisions. By gaining familiarity with SQL through this course, Financial Analysts can enhance their ability to extract and interpret data, enabling them to make data-driven financial decisions.
Project Manager
Project Managers plan and execute projects to achieve specific goals. This course may be useful for Project Managers who need to manage projects involving data analysis and reporting. By gaining familiarity with SQL through this course, Project Managers can enhance their ability to understand data requirements and communicate with technical teams, ensuring successful project outcomes.
Quality Assurance Analyst
Quality Assurance Analysts ensure the quality of software products and services. This course may be useful for Quality Assurance Analysts who need to test and validate data-driven applications. By gaining familiarity with SQL through this course, Quality Assurance Analysts can enhance their ability to understand data structures and verify data integrity, ensuring the reliability of software products.
Salesforce Administrator
Salesforce Administrators implement and manage Salesforce software for businesses. This course may be useful for Salesforce Administrators who need to manage and manipulate data within Salesforce. By gaining familiarity with SQL through this course, Salesforce Administrators can enhance their ability to create and manage custom reports and dashboards, enabling them to extract and analyze data effectively.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex business problems. This course may provide a basic understanding of SQL, a tool used for data analysis and modeling. By gaining exposure to SQL through this course, Operations Research Analysts can enhance their ability to extract and interpret data, enabling them to develop data-driven solutions to business problems.
Data Visualization Analyst
Data Visualization Analysts create visual representations of data to communicate insights and trends. This course may provide a basic understanding of SQL, a tool used for data extraction and preparation. By gaining exposure to SQL through this course, Data Visualization Analysts can enhance their ability to extract and prepare data for visualization, enabling them to create effective and informative data visualizations.

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 Clean Data in SQL using MySQL Workbench.
This cookbook provides a collection of recipes for solving common MySQL problems. It covers topics such as data manipulation, data analysis, and database administration.
Provides a practical guide to data analysis using MySQL. It covers topics such as data exploration, data visualization, and statistical analysis.
Provides a comprehensive overview of MySQL, with a focus on practical applications. It covers topics such as database design, data manipulation, and performance tuning.
This beginner-friendly book provides a step-by-step guide to MySQL. It covers topics such as data types, data structures, and query syntax.

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