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Omnya Khaled

By the end of this project, you will be able to manage data efficiently in a specific database using MYSQL Workbench. You will be able to select data from tables from your database and use keywords in select statements such as LIMIT and Top. You will be able to update the data and filter them using where statements, and also apply conditions with different ways and keywords such as like, and, or, and between. Moreover, you will be able to apply the aggregate functions in your select statement and the grouping by, and finally, you will be able to join tables with each other using three different joins, left, inner and right join. A database management system stores organize and manage a large amount of information within a single software application. The Use of this system increases the efficiency of business operations and reduces overall costs. The world of data is constantly changing and evolving every second. This in turn has created a completely new dimension of growth and challenges for companies around the globe like Google, Facebook, or Amazon.

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By the end of this project, you will be able to manage data efficiently in a specific database using MYSQL Workbench. You will be able to select data from tables from your database and use keywords in select statements such as LIMIT and Top. You will be able to update the data and filter them using where statements, and also apply conditions with different ways and keywords such as like, and, or, and between. Moreover, you will be able to apply the aggregate functions in your select statement and the grouping by, and finally, you will be able to join tables with each other using three different joins, left, inner and right join. A database management system stores organize and manage a large amount of information within a single software application. The Use of this system increases the efficiency of business operations and reduces overall costs. The world of data is constantly changing and evolving every second. This in turn has created a completely new dimension of growth and challenges for companies around the globe like Google, Facebook, or Amazon.

This guided project is for beginners in the field of data management and databases. It provides you with the basics of managing the database and data. It equips you with knowledge of the first steps in data management and data extraction. This in turn has created a completely new dimension of growth and challenges for companies around the globe like Google, Facebook, or Amazon.

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

Project Overview
By the end of this project, you will be able to manage data efficiently in a specific database using MYSQL Workbench. You will be able to select data from tables from your database and use keywords in select statements such as LIMIT and Top. You will be able to update the data and filter them using where statements, and also apply conditions with different ways and keywords such as like, and, or, and between. Moreover, you will be able to apply the aggregate functions in your select statement and the grouping by, and finally, you will be able to join tables with each other using three different joins, left, inner and right join. A database management system stores organize and manage a large amount of information within a single software application. The Use of this system increases the efficiency of business operations and reduces overall costs. The world of data is constantly changing and evolving every second. This in turn has created a completely new dimension of growth and challenges for companies around the globe like Google, Facebook, or Amazon.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores industry standard database management systems, emphasizing MYSQL Workbench, which is popular in many businesses and firms
Develops beginner-level data management skills for organizing and managing data
Provides a comprehensive study of data extraction and its importance in data management
Includes hands-on, interactive materials, such as exercises and projects, which support skill development
Taught by Omnya Khaled, who is recognized for their work in teaching database management and data extraction
Emphasizes the importance of data management and data extraction in the context of big data and the evolving digital landscape

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Reviews summary

Database management basics

Learners say this data manipulation and management course is very useful.
Basics of data manipulation and management.
"very useful"

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 Data Manipulation and Management using MYSQL Workbench with these activities:
Review 'SQL in 10 Minutes'
Gain a quick overview of SQL syntax and concepts to supplement your understanding from the course materials.
View MySQL Crash Course on Amazon
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  • Read through the book, focusing on key concepts and examples.
  • Review the SQL statements and try to understand their purpose.
Complete Practice Quizzes and Tests
Test your understanding of SQL concepts and syntax through self-assessment quizzes and tests.
Browse courses on Self-Assessment
Show steps
  • Access practice quizzes or tests provided in the course or from external sources.
  • Attempt the quizzes or tests to identify areas where you need further study.
  • Review the correct answers and explanations to solidify your understanding.
  • Repeat the quizzes or tests to improve your recall and confidence.
Participate in Study Groups or Online Forums
Engage with peers to discuss concepts, exchange ideas, and reinforce your understanding of the course material.
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  • Join online forums or discussion groups related to SQL or database management.
  • Participate in discussions, ask questions, and share your insights.
  • Collaborate with other learners on projects or practice exercises.
  • Attend virtual or in-person study sessions led by peers or experts.
Four other activities
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Develop a Database Schema Diagram
Create a visual representation of your database structure to enhance your understanding of data relationships and dependencies.
Browse courses on Database Design
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  • Choose an appropriate software tool for creating database schema diagrams.
  • Review the database structure provided in the course materials.
  • Identify and map out the entities, attributes, and relationships within the database.
  • Use symbols and notations to represent the schema elements accurately.
  • Document the schema diagram with clear annotations and explanations.
Complete SQL Practice Problems
Engage in repetitive SQL exercises to reinforce your understanding of database management concepts and syntax.
Show steps
  • Identify a reputable online platform or textbook with SQL practice problems.
  • Set aside regular time slots for practicing SQL.
  • Work through the problems step-by-step, paying attention to syntax and logic.
  • Verify your solutions against provided answers or consult with peers or instructors for guidance.
  • Analyze your mistakes and revisit relevant course materials to strengthen understanding.
Explore Advanced SQL Functions and Techniques
Expand your SQL knowledge by exploring advanced functions and techniques to improve your data manipulation and analysis skills.
Browse courses on Advanced SQL Functions
Show steps
  • Identify online courses, tutorials, or documentation on advanced SQL topics.
  • Review the course materials to understand the concepts and syntax.
  • Apply the techniques in practical scenarios to solidify your understanding.
  • Experiment with different functions and approaches to analyze data efficiently.
  • Share your learnings or ask questions in forums or study groups.
Design and Build a Database Project
Apply your knowledge by designing and building a functional database that meets specific requirements.
Show steps
  • Define the purpose and scope of your database project.
  • Design the database schema, including tables, columns, and relationships.
  • Create the database and populate it with sample data.
  • Develop queries and reports to extract and analyze data.
  • Present your project and demonstrate its functionality.

Career center

Learners who complete Data Manipulation and Management using MYSQL Workbench will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst plays a crucial role in examining data, translating raw data into insights, and identifying trends. This course, Data Manipulation and Management using MYSQL Workbench, provides a solid foundation for Data Analysts by equipping them with the skills to manage, select, and filter data efficiently. The ability to apply aggregate functions, group data, and join tables, as covered in this course, is essential for extracting meaningful insights from complex datasets, making it a valuable resource for aspiring Data Analysts.
Database Administrator
Database Administrators ensure that databases are functioning smoothly and efficiently. This course, Data Manipulation and Management using MYSQL Workbench, aligns well with the responsibilities of a Database Administrator by providing hands-on experience in managing data, creating and modifying tables, and applying constraints. Understanding how to optimize data retrieval and storage, as covered in this course, is critical for Database Administrators to maintain the integrity and performance of databases.
Business Intelligence Analyst
Business Intelligence Analysts use data analysis to support decision-making and improve business outcomes. This course, Data Manipulation and Management using MYSQL Workbench, provides a strong foundation for Business Intelligence Analysts by equipping them with the skills to gather, clean, and analyze data. The ability to apply statistical functions and data visualization techniques, as covered in this course, is essential for Business Intelligence Analysts to extract valuable insights from data and communicate them effectively.
Data Scientist
Data Scientists use advanced analytical techniques to solve complex business problems. This course, Data Manipulation and Management using MYSQL Workbench, provides a solid foundation for Data Scientists by introducing them to data management, data exploration, and data visualization. The ability to apply statistical models and machine learning algorithms, as covered in this course, is essential for Data Scientists to build predictive models and derive meaningful insights from data.
Data Engineer
Data Engineers design, build, and maintain data pipelines for data-driven organizations. This course, Data Manipulation and Management using MYSQL Workbench, provides a strong foundation for Data Engineers by introducing them to data modeling, data warehousing, and distributed systems. The ability to apply data integration techniques and optimize data storage, as covered in this course, is essential for Data Engineers to build scalable and efficient data pipelines.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course, Data Manipulation and Management using MYSQL Workbench, may be useful for Software Engineers who want to develop data-driven applications. The ability to manage and manipulate data effectively, as covered in this course, is essential for Software Engineers to build applications that can store, process, and analyze large amounts of data.
Statistician
Statisticians collect, analyze, and interpret data to provide insights for decision-making. This course, Data Manipulation and Management using MYSQL Workbench, may be useful for Statisticians who want to expand their skills in data management and analysis. The ability to apply statistical functions and data visualization techniques, as covered in this course, is essential for Statisticians to draw meaningful conclusions from data.
Market Researcher
Market Researchers gather and analyze data to understand market trends and consumer behavior. This course, Data Manipulation and Management using MYSQL Workbench, may be useful for Market Researchers who want to enhance their data analysis skills. The ability to apply statistical techniques and data visualization techniques, as covered in this course, is essential for Market Researchers to identify trends and make informed decisions.
Financial Analyst
Financial Analysts evaluate financial data to make investment recommendations and provide guidance to clients. This course, Data Manipulation and Management using MYSQL Workbench, may be useful for Financial Analysts who want to improve their data analysis skills. The ability to apply statistical techniques and financial models, as covered in this course, is essential for Financial Analysts to make sound investment decisions.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex business problems. This course, Data Manipulation and Management using MYSQL Workbench, may be useful for Operations Research Analysts who want to expand their skills in data management and analysis. The ability to apply statistical techniques and optimization models, as covered in this course, is essential for Operations Research Analysts to develop effective solutions for business problems.
Actuary
Actuaries use mathematical and statistical techniques to assess risk and uncertainty. This course, Data Manipulation and Management using MYSQL Workbench, may be useful for Actuaries who want to enhance their data analysis skills. The ability to apply statistical techniques and financial models, as covered in this course, is essential for Actuaries to calculate risks and make informed decisions.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical techniques to analyze financial data and make investment decisions. This course, Data Manipulation and Management using MYSQL Workbench, may be useful for Quantitative Analysts who want to improve their data analysis skills. The ability to apply statistical techniques and financial models, as covered in this course, is essential for Quantitative Analysts to develop and implement trading strategies.
Data Journalist
Data Journalists use data analysis and visualization techniques to uncover stories and insights from data. This course, Data Manipulation and Management using MYSQL Workbench, may be useful for Data Journalists who want to enhance their data analysis skills. The ability to apply statistical techniques and data visualization techniques, as covered in this course, is essential for Data Journalists to communicate complex data in a clear and engaging way.
UX Researcher
UX Researchers study user behavior and feedback to improve the user experience of products and services. This course, Data Manipulation and Management using MYSQL Workbench, may be useful for UX Researchers who want to expand their skills in data analysis and visualization. The ability to apply statistical techniques and data visualization techniques, as covered in this course, is essential for UX Researchers to understand user behavior and make informed design decisions.
Epidemiologist
Epidemiologists study the distribution and patterns of health events and diseases in populations. This course, Data Manipulation and Management using MYSQL Workbench, may be useful for Epidemiologists who want to enhance their data analysis skills. The ability to apply statistical techniques and data visualization techniques, as covered in this course, is essential for Epidemiologists to identify risk factors and develop public health interventions.

Reading list

We've selected 14 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 Data Manipulation and Management using MYSQL Workbench.
This comprehensive guide to MySQL high performance provides expert advice on how to optimize MySQL for maximum performance. It covers topics such as hardware optimization, query optimization, and data partitioning.
This practical guide teaches the fundamentals of SQL querying in a clear and approachable way, making it an excellent resource for beginners or those looking to refresh their SQL skills.
This practical cookbook provides a collection of recipes for solving common MySQL problems. It covers topics such as data manipulation, query optimization, and data recovery.
Provides a comprehensive overview of SQL queries, making it a valuable resource for understanding the basics of data manipulation and management. It covers topics such as data types, operators, and aggregate functions.
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This comprehensive guide to MySQL Workbench covers all aspects of the software, providing detailed instructions and examples on how to use it effectively for database management tasks.
This accessible guide to MySQL is perfect for beginners, providing step-by-step instructions on how to use MySQL. It covers topics such as installing MySQL, creating databases, and performing basic queries.
This classic work provides a comprehensive guide to dimensional modeling, a fundamental concept in data warehousing, making it a valuable reference for database designers and architects.
This comprehensive textbook provides a thorough introduction to data mining techniques and algorithms, making it a valuable resource for those interested in exploring the field of data analysis and machine learning.
This comprehensive guide provides practical examples and exercises using popular machine learning libraries such as Scikit-Learn, Keras, and TensorFlow, making it a valuable resource for those seeking hands-on experience in machine learning.
This practical guide provides a comprehensive overview of deep learning concepts and techniques, making it a valuable resource for those interested in exploring the field of deep learning.
This classic work provides a comprehensive introduction to reinforcement learning, making it a valuable resource for those interested in exploring the field of artificial intelligence.
This textbook provides a thorough introduction to Bayesian reasoning and its applications in machine learning, making it a valuable resource for those interested in exploring the field of probabilistic machine learning.
This comprehensive textbook provides a thorough introduction to probabilistic graphical models, making it a valuable resource for those interested in exploring the field of graphical models.
This textbook provides a comprehensive overview of statistical learning, making it a valuable resource for those interested in exploring the field of machine learning.

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