SQL تأكيد صحة البيانات فى from Coursera

فى نهاية المشروع، تقدر تتأكد من صحة بياناتك بطريقة سهلة و فعالة باستخدام جمل SQL . . ده هو من اهم الاجزاء فى مهمة معالجة البيانات سواء كان فى مجال جمع البيانات او عرضها وتحليلها. فإننا نتأكد من صحة البيانات , هيدينا الدقة و التفاصيل و الوضوح . و ده هيخلينا نتجنب المشاكل او المخاطر فى اى مشروع.

خلال المشروع،تقدر تتأكد من صحة البيانات من خلال 13 query و باستخدام أوامر مختلفة . هتقدر تحدد تفاصيل الجدول والبيانات. تقدر تربط بين جدولين او أكثر و تحسب عدد الصفوف الناتجة من اى query. هتقدر ترتب البيانات و تحط جمل شرطية فى ال query .ونتجنب الـ case sensitive بتاعة الحروف. و هتقدر تجيب البيانات المنفردة من غير اى تكرار وتستبعد بيانات من الناتج. تقدر تخرج الصفوف من خلال جزء من جملة أو كلمة و تخرج الناتج لكل مجموعة و تحدد الصفوف المكررة. و اخيرا هتقدر تجيب طول البيانات باستخدام LENGTH. المشروع مخصص للأشخاص المبتدئين فى مجال نمذجة البيانات او ال data modelling و التأكد من صحة البيانات. المشروع ده هيساعدك تبدأ اول خطواتك كمحلل بيانات او مهندس بيانات لانه من المهام الأساسية لنمذجة البيانات او ال data modelling.

What's inside

Syllabus

ملخص المشروع

فى نهاية المشروع، تقدر تتأكد من صحة بياناتك بطريقة سهلة و فعالة باستخدام جمل SQL . ده هو من اهم الاجزاء فى مهمة معالجة البيانات سواء كان فى مجال جمع البيانات او عرضها وتحليلها. فإننا نتأكد من صحة البيانات , هيدينا الدقة و التفاصيل و الوضوح . و ده هيخلينا نتجنب المشاكل او المخاطر فى اى مشروع. خلال المشروع، هتقدر تتأكد من صحة البيانات من خلال 13 query و باستخدام أوامر مختلفة . هتقدر تحدد تفاصيل الجدول والبيانات. تقدر تربط بين جدولين او أكثر و تحسب عدد الصفوف الناتجة من اى query. هتقدر ترتب البيانات و تحط جمل شرطية فى ال query ونتجنب الـ case sensitive بتاعة الحروف. و هتقدر تجيب البيانات المنفردة من غير اى تكرار وتستبعد بيانات من الناتج. هتقدر تخرج الصفوف من خلال جزء من جملة أو كلمة و تخرج الناتج لكل مجموعة و تحدد الصفوف المكررة. و اخيرا هتقدر تجيب طول البيانات باستخدام LENGTH. المشروع مخصص للأشخاص المبتدئين فى مجال نمذجة البيانات او ال data modeling و التأكد من صحة البيانات. المشروع ده هيساعدك تبدأ اول خطواتك كمحلل بيانات او مهندس بيانات لانه من المهام الأساسية لنمذجة البيانات او ال data modeling.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Introduces simple and easy-to-use methods for data validation with SQL

Helps you avoid issues and risks for any project

Useful for beginners in data modeling and data validation

Supports your first steps as a data analyst or data engineer as data validation is one of the essential tasks

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 SQL تأكيد صحة البيانات فى with these activities:

Attend a workshop on data validation techniques

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Attending a workshop will provide you with structured learning, networking opportunities, and the chance to gain insights from industry experts on data validation techniques.

Browse courses on Data Validation

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Research and identify relevant workshops
Register for the workshop
Attend the workshop and actively participate in the activities
Network with other attendees and industry experts
Follow up after the workshop to reinforce your learning

Execute SQL queries to verify data accuracy

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By practicing writing SQL queries to check for data accuracy, you'll build proficiency in using SQL and gain hands-on experience in ensuring data integrity.

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Set up a database with sample data
Write SQL queries to check for duplicate values, missing data, and other data inconsistencies
Analyze the results of your queries and identify any data errors
Use SQL commands to correct the data errors

Solve practice problems on data validation techniques

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Solving practice problems will challenge your understanding of data validation techniques and help you develop problem-solving skills in a practical context.

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Find practice problems related to data validation techniques
Analyze the problem and identify the data validation techniques required
Apply the appropriate data validation techniques to solve the problem
Review the results and identify any areas for improvement

Two other activities

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Create a blog post or article on data validation best practices

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Writing a blog post or article will help you synthesize your knowledge of data validation best practices, improve your communication skills, and share your insights with others.

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Research data validation best practices
Organize your thoughts and outline the structure of your post or article
Write the content, providing clear and concise explanations
Proofread and edit your work
Publish your post or article on a relevant platform

Mentor junior data professionals on data validation

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Mentoring others will not only benefit the mentee but also reinforce your knowledge of data validation techniques and enhance your communication and leadership skills.

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Identify opportunities to mentor junior data professionals
Establish clear goals and expectations for the mentorship
Provide guidance and support on data validation techniques
Monitor the mentee's progress and provide feedback
Celebrate the mentee's successes and provide ongoing encouragement

Career center

Learners who complete SQL تأكيد صحة البيانات فى will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers are responsible for designing, building, and maintaining data pipelines and infrastructure. This course complements the skills required for Data Engineers by providing a deep dive into data validation techniques. Understanding how to verify and validate data quality is critical for ensuring the accuracy and reliability of data used in data pipelines and downstream applications.

See salaries and explore the career path for Data Engineer

Data Analyst

Data Analysts play a crucial role in ensuring the accuracy and integrity of data used in various domains. This course provides a solid foundation for Data Analysts by equipping them with the skills to validate data using SQL queries. It covers techniques for identifying inconsistencies, missing values, and duplicate records, enabling Data Analysts to ensure the quality and reliability of data for informed decision-making and analysis.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists utilize data to extract insights and patterns to solve complex business problems. This course complements the skills required for Data Scientists by providing a comprehensive understanding of data validation techniques. It enables Data Scientists to ensure the accuracy and reliability of data used in modeling and analysis, leading to more accurate and reliable insights and predictions.

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Business Analyst

Business Analysts play a pivotal role in bridging the gap between business stakeholders and technical teams. This course equips Business Analysts with the knowledge and skills to analyze, validate, and communicate data-related requirements. It provides a strong foundation for Business Analysts to effectively gather, interpret, and validate data to drive informed business decisions.

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Data Governance Specialist

Data Governance Specialists are responsible for developing and implementing policies and procedures to ensure the effective use of data. This course provides a solid foundation for Data Governance Specialists by equipping them with the skills to validate and assess data quality. It enables them to establish data validation standards, monitor data quality, and ensure compliance with regulatory requirements.

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Database Administrator

Database Administrators are responsible for maintaining the integrity and performance of databases. This course provides a strong foundation for Database Administrators by equipping them with the skills to ensure data accuracy and consistency. It covers techniques for monitoring data quality, identifying and resolving data issues, and implementing data validation processes to maintain the integrity of databases.

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Information Architect

Information Architects design and manage the organization and structure of information systems. This course provides a valuable foundation for Information Architects by equipping them with the skills to validate the accuracy and completeness of data used in information systems. It enables Information Architects to ensure the integrity and reliability of data used for decision-making and strategic planning.

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Data Quality Manager

Data Quality Managers oversee the processes and systems that ensure the accuracy and integrity of data. This course provides a comprehensive understanding of data validation techniques for Data Quality Managers. It enables them to develop and implement data validation strategies, monitor data quality metrics, and identify and resolve data issues to maintain the reliability and usability of data.

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Software Engineer

Software Engineers design, develop, and test software applications. This course may be useful for Software Engineers who are involved in data-intensive projects. It provides a solid foundation for understanding data validation techniques and implementing them in software applications to ensure data accuracy and integrity.

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Quality Assurance Analyst

Quality Assurance Analysts evaluate the quality of software products and processes. This course may be helpful for Quality Assurance Analysts who specialize in data validation. It provides a comprehensive understanding of data validation techniques and their application in software testing to ensure the accuracy and reliability of software systems.

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Data Warehouse Architect

Data Warehouse Architects design and implement data warehouses to store and manage large volumes of data. This course provides a valuable foundation for Data Warehouse Architects by equipping them with the skills to ensure data accuracy and consistency in data warehouses. It covers techniques for data validation, data integration, and data quality management to ensure the reliability and usability of data for business intelligence and analytics.

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Statistician

Statisticians collect, analyze, interpret, and present data to uncover patterns and trends. This course may be helpful for Statisticians who work with data validation and quality control. It provides a solid foundation for understanding data validation techniques and their application in statistical analysis to ensure the accuracy and reliability of statistical models and conclusions.

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Financial Analyst

Financial Analysts use data to evaluate and make recommendations on investments. This course may be helpful for Financial Analysts who want to enhance their data validation skills. It provides a comprehensive understanding of data validation techniques and their application in financial analysis to ensure the accuracy and reliability of financial models and recommendations.

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Auditor

Auditors examine financial records to ensure accuracy and compliance. This course may be helpful for Auditors who want to enhance their data validation skills. It provides a comprehensive understanding of data validation techniques and their application in auditing to ensure the accuracy and reliability of financial statements and reports.

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Business Intelligence Analyst

Business Intelligence Analysts use data to identify trends and patterns to support business decision-making. This course may be useful for Business Intelligence Analysts who want to improve their data validation skills. It provides a solid foundation for understanding data validation techniques and their application in business intelligence analysis to ensure the accuracy and reliability of insights and recommendations.

See salaries and explore the career path for Business Intelligence Analyst