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Amani Abbas

في هذه الدورة التدريبية القائمة على المشروع والتي تستغرق ساعة واحدة، ستتعلم كيفية استخدام لغة الاستعلام البنائية SQL للحصول على معلومات من قاعدة البيانات.

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في هذه الدورة التدريبية القائمة على المشروع والتي تستغرق ساعة واحدة، ستتعلم كيفية استخدام لغة الاستعلام البنائية SQL للحصول على معلومات من قاعدة البيانات.

سنقوم باستخدام MySQL في هذا المشروع وسنتعلم كيفية عرض البيانات من الجداول الموجودة في قاعدة البيانات، كيفية الحصول على إذخالات بشكل غير متكرر، كيفية الحصول على نتائج بحسب شروط معينة وبحسب ترتيب تصاعدي أو تنازلي، كما ستتعلم كيفية ربط الجداول ببعضها في قاعدة البيانات للحصول على نتائج من عدة جداول باستخدام استعلام واحد فقط، ستتعلم أيضا كيفية إنشاء جدول وإضافته لقاعدة البيانات، إضافة بيانات للجدول الجديد، وكيفية مسح جدول من قاعدة البيانات.

هذا المشروع هو للمبتدئين تماماً في مجال قواعد البيانات العلائقية

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What's inside

Syllabus

Module 1
في هذه الدورة التدريبية القائمة على المشروع والتي تستغرق ساعة واحدة، ستتعلم كيفية استخدام لغة الاستعلام البنائية SQL للحصول على معلومات من قاعدة البيانات.سنقوم باستخدام MySQL في هذا المشروع وسنتعلم كيفية عرض البيانات من الجداول الموجودة في قاعدة البيانات، كيفية الحصول على إذخالات بشكل غير متكرر، كيفية الحصول على نتائج بحسب شروط معينة وبحسب ترتيب تصاعدي أو تنازلي، كما ستتعلم كيفية ربط الجداول ببعضها في قاعدة البيانات للحصول على نتائج من عدة جداول باستخدام استعلام واحد فقط، ستتعلم أيضا كيفية إنشاء جدول وإضافته لقاعدة البيانات، إضافة بيانات للجدول الجديد، وكيفية مسح جدول من قاعدة البيانات.هذا المشروع هو للمبتدئين تماماً في مجال قواعد البيانات العلائقية

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces foundational concepts in SQL for beginners with no prior relational database experience
Provides hands-on, project-based learning, promoting practical application of SQL
Covers fundamental SQL operations such as data retrieval, filtering, sorting, and table manipulation
Utilizes MySQL as the database management system for practical examples and exercises
Taught by Amani Abbas, an experienced instructor in the field of data analysis and SQL

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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 Relational Databases - MySQL - قواعد البيانات العلائقية with these activities:
Find a SQL mentor
Connect with experienced SQL professionals for guidance and support.
Show steps
  • Attend industry events or join online communities
  • Reach out to professionals in your network
  • Prepare questions and schedule informational interviews
Watch SQL tutorials
Review SQL syntax and concepts before starting the course.
Browse courses on Structured Query Language
Show steps
  • Find beginner-friendly SQL tutorials online
  • Watch videos or read articles to learn the basics of SQL
  • Practice writing simple SQL queries
Solve SQL practice problems
Reinforce your understanding of SQL syntax and concepts.
Browse courses on SQL Queries
Show steps
  • Find online SQL practice problems or quizzes
  • Solve the problems using SQL queries
  • Check your answers and identify areas for improvement
Five other activities
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Show all eight activities
Create a SQL cheat sheet
Summarize key SQL concepts and syntax for easy reference.
Browse courses on SQL Syntax
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  • Gather SQL syntax and concepts from your notes or online resources
  • Organize the information into a cheat sheet
  • Review the cheat sheet regularly
Volunteer in a data-related organization
Gain practical experience and contribute to the community by volunteering your SQL skills.
Browse courses on Data Science
Show steps
  • Research organizations that use SQL
  • Identify opportunities to assist with data management or analysis projects
  • Apply your SQL skills to real-world problems
Build a mini database project
Apply your SQL skills to create a practical database solution.
Browse courses on Database Design
Show steps
  • Define the scope and purpose of your project
  • Design the database schema
  • Create the database and tables
  • Populate the database with data
  • Write SQL queries to retrieve and manipulate data
Contribute to open-source SQL projects
Enhance your SQL skills and contribute to the open-source community.
Browse courses on Open-Source Software
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  • Find SQL-related open-source projects on platforms like GitHub
  • Identify areas where you can contribute your skills
  • Submit bug reports, feature requests, or code contributions
Start a personal SQL project
Extend your SQL skills by working on a self-directed project.
Browse courses on Data Analysis
Show steps
  • Identify a problem or question you want to solve or explore
  • Gather data from available sources or create your own
  • Design and implement a SQL solution
  • Analyze the results and draw conclusions

Career center

Learners who complete Relational Databases - MySQL - قواعد البيانات العلائقية will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst uses SQL to organize and interpret large amounts of data. Through this course, learners will gain foundational knowledge in SQL that they can leverage to confidently apply SQL on the job. Many Data Analyst roles require a master's degree, with experience in a related field.
Database Administrator
Database Administrators develop and maintain the databases that power a range of applications. They use SQL to interact with databases and ensure that data is secure and accessible. This course provides a solid foundation in SQL that can help aspiring Database Administrators succeed in their role.
Software Engineer
Software Engineers use SQL to manage data and ensure that applications can access and manipulate data efficiently. This course will help learners build a strong foundation in SQL, which is an essential skill for Software Engineers working with relational databases.
Data Scientist
Data Scientists use SQL to analyze and interpret data to uncover patterns and trends. This course provides a good introduction to SQL, which can be helpful for aspiring Data Scientists looking to gain a foundational understanding of data querying and manipulation.
Business Analyst
Business Analysts use SQL to extract insights from data and make recommendations that can improve business outcomes. This course can provide learners with a valuable introduction to SQL, which can be beneficial for Business Analysts who need to understand data and communicate insights effectively.
Information Security Analyst
Information Security Analysts use SQL to protect databases from unauthorized access and data breaches. This course can help learners develop a basic understanding of SQL, which can be useful for Information Security Analysts who need to understand database security and compliance.
Web Developer
Web Developers use SQL to manage data for websites and web applications. This course can provide learners with a basic understanding of SQL, which can be helpful for Web Developers who need to interact with databases and retrieve data for their projects.
Product Manager
Product Managers use SQL to understand customer data and make informed decisions about product development. This course can provide learners with a basic understanding of SQL, which can be helpful for Product Managers who need to interact with data and understand customer behavior.
Project Manager
Project Managers use SQL to track project data and manage resources effectively. This course can provide learners with a basic understanding of SQL, which can be helpful for Project Managers who need to interact with data and monitor project progress.
Marketing Analyst
Marketing Analysts use SQL to analyze marketing data and measure the effectiveness of marketing campaigns. This course can provide learners with a basic understanding of SQL, which can be helpful for Marketing Analysts who need to interpret data and make recommendations.
Financial Analyst
Financial Analysts use SQL to analyze financial data and make investment recommendations. This course can provide learners with a basic understanding of SQL, which can be helpful for Financial Analysts who need to understand financial data and make informed decisions.
Operations Manager
Operations Managers use SQL to track operational data and improve efficiency. This course can provide learners with a basic understanding of SQL, which can be helpful for Operations Managers who need to interact with data and make informed decisions.
Salesperson
Salespeople use SQL to track sales data and manage customer relationships. This course can provide learners with a basic understanding of SQL, which can be helpful for Salespeople who need to interact with data and understand customer behavior.
Customer Service Representative
Customer Service Representatives use SQL to track customer interactions and resolve issues. This course can provide learners with a basic understanding of SQL, which can be helpful for Customer Service Representatives who need to interact with data and understand customer needs.
Administrative Assistant
Administrative Assistants use SQL to manage data and support various departments within an organization. This course can provide learners with a basic understanding of SQL, which can be helpful for Administrative Assistants who need to interact with data and perform administrative tasks.

Reading list

We've selected eight 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 Relational Databases - MySQL - قواعد البيانات العلائقية.
A beginner-friendly guide to MySQL, focusing on practical aspects of database creation, management, and querying. Provides a step-by-step approach to working with MySQL, making it suitable for those with little to no prior knowledge.
A practical guide to machine learning using popular Python libraries. Provides hands-on experience with data preparation, model building, and evaluation, which can be useful for understanding the practical applications of SQL and databases.
A comprehensive textbook on deep learning, a subfield of machine learning that uses artificial neural networks. Provides a theoretical understanding and practical techniques for building and training deep learning models, which can be applied to various data-intensive applications.
An introduction to reinforcement learning, a subfield of machine learning concerned with decision-making in sequential environments. Provides insights into the challenges and techniques of learning from interactions with data, which is relevant to the broader field of data management.
Introduces the concepts and techniques of data science, including data mining and analysis. Provides a broader context for understanding the role of databases and SQL in the data science workflow.
Although not directly related to SQL or databases, this book provides a solid foundation in JavaScript, which is often used in conjunction with SQL for data visualization and interactive web applications.
A quick and easy introduction to SQL, aimed at absolute beginners. Provides a basic understanding of SQL concepts and syntax, serving as a good starting point for those new to the language.

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