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إدارة البيانات في مايكرسوفت إكسل | Managing Data in MS Excel

Alfaisal.KLD

تبدأ متعة استخدام (Excel) بعد عملية إدخال البيانات (Data Entry)، حيث تأتي القدرة على تطويع البيانات (Data) بالشكل الذي يضمن تحقيق احتياجات المستخدمين كافة بدرجة عالية الدقة وفي أقل وقت ممكن، وفي هذا الصدد نشير إلى أن (Excel) يمتلك العديد من الخيارات والأدوات التي تمكننا من إدارة البيانات (Managing Data) والتحكم فيها حسب الحاجة.

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تبدأ متعة استخدام (Excel) بعد عملية إدخال البيانات (Data Entry)، حيث تأتي القدرة على تطويع البيانات (Data) بالشكل الذي يضمن تحقيق احتياجات المستخدمين كافة بدرجة عالية الدقة وفي أقل وقت ممكن، وفي هذا الصدد نشير إلى أن (Excel) يمتلك العديد من الخيارات والأدوات التي تمكننا من إدارة البيانات (Managing Data) والتحكم فيها حسب الحاجة.

هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها.

إذا كنت من المهتمين بفهم إدارة البيانات في مايكروسوفت إكسل، أو كان مجال عملك يتطلب توظيف ذلك في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر.

حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: شرح كيفية التحقق من سلامة وصحة البيانات، شرح كيفية القيام بعملية حذف التكرارات، شرح كيفية الاستفادة من أداة التعبئة السريعة، شرح كيفية تقسيم النصوص إلى أعمدة،

شرح كيفية القيام بعمليات فرز البيانات والتصفية بكل أنواعها.

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What's inside

Syllabus

إدارة البيانات في "مايكروسوفت إكسل"
ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: شرح كيفية التحقق من سلامة وصحة البيانات، شرح كيفية القيام بعملية حذف التكرارات، شرح كيفية الاستفادة من أداة التعبئة السريعة، شرح كيفية تقسيم النصوص إلى أعمدة، شرح كيفية القيام بعمليات فرز البيانات والتصفية بكل أنواعها.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches foundational skills for managing data in Microsoft Excel
Fits learners interested in understanding data management and its applications
Covers essential concepts and techniques for efficient data manipulation, validation, and organization

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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 إدارة البيانات في مايكرسوفت إكسل | Managing Data in MS Excel with these activities:
Review Excel Basics
Refresh your understanding of basic Excel functions and operations, preparing you for deeper exploration in this course.
Browse courses on Spreadsheet Basics
Show steps
  • Go through an online tutorial on Excel basics.
  • Practice creating and editing simple spreadsheets.
  • Review formulas and functions commonly used in Excel.
Interactive Data Analysis Dashboard
Create a visually appealing and interactive dashboard that effectively communicates insights from your data, showcasing your proficiency in data analysis and presentation.
Browse courses on Interactive Dashboards
Show steps
  • Identify a dataset and define the key insights you want to convey.
  • Design the layout and visuals of your dashboard using Excel's charting and formatting features.
  • Add interactivity to your dashboard using Excel's VBA or Power BI.
  • Test and refine your dashboard to ensure usability and effectiveness.
Show all two activities

Career center

Learners who complete إدارة البيانات في مايكرسوفت إكسل | Managing Data in MS Excel will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course can help you develop the skills needed to succeed in this role, such as how to verify the accuracy of data, remove duplicates, use quick fill tools, and split text into columns. These skills are essential for ensuring that data is accurate and reliable, which is critical for making informed decisions.
Business Analyst
A Business Analyst helps organizations improve their performance by identifying and solving business problems. This course can help you develop the skills needed to succeed in this role, such as how to manage and analyze data to identify trends and patterns. These skills are essential for understanding the needs of a business and developing solutions that meet those needs.
Data Scientist
A Data Scientist uses data to build models that can predict future outcomes. This course can help you develop the skills needed to succeed in this role, such as how to manage and analyze data to identify trends and patterns. These skills are essential for building models that are accurate and reliable.
Financial Analyst
A Financial Analyst uses data to make investment decisions. This course can help you develop the skills needed to succeed in this role, such as how to manage and analyze data to identify trends and patterns. These skills are essential for understanding the financial markets and making sound investment decisions.
Market Researcher
A Market Researcher collects and analyzes data to understand consumer behavior. This course can help you develop the skills needed to succeed in this role, such as how to manage and analyze data to identify trends and patterns. These skills are essential for understanding the needs of consumers and developing products and services that meet those needs.
Operations Analyst
An Operations Analyst uses data to improve the efficiency of business operations. This course can help you develop the skills needed to succeed in this role, such as how to manage and analyze data to identify trends and patterns. These skills are essential for understanding the operations of a business and developing solutions that improve efficiency.
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. This course can help you develop the skills needed to succeed in this role, such as how to manage and analyze data to track project progress and identify risks. These skills are essential for ensuring that projects are completed on time, within budget, and to the required quality.
Data Engineer
A Data Engineer designs and builds systems for storing and managing data. This course can help you develop the skills needed to succeed in this role, such as how to manage and analyze data to ensure that it is accurate, reliable, and accessible. These skills are essential for building systems that can support the data-driven needs of businesses.
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. This course can help you develop the skills needed to succeed in this role, such as how to manage and analyze data to ensure that it is accurate, reliable, and accessible. These skills are essential for ensuring that databases are available and performant.
Statistician
A Statistician collects, analyzes, and interprets data to draw conclusions. This course can help you develop the skills needed to succeed in this role, such as how to manage and analyze data to identify trends and patterns. These skills are essential for understanding data and making informed decisions.
Data Visualization Specialist
A Data Visualization Specialist creates visual representations of data to communicate insights. This course can help you develop the skills needed to succeed in this role, such as how to manage and analyze data to identify trends and patterns. These skills are essential for creating visualizations that are clear, concise, and effective.
Machine Learning Engineer
A Machine Learning Engineer builds and deploys machine learning models. This course can help you develop the skills needed to succeed in this role, such as how to manage and analyze data to train and evaluate machine learning models. These skills are essential for building models that are accurate and reliable.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be helpful in developing some of the skills needed to succeed in this role, such as how to manage and analyze data to ensure that software applications are accurate and reliable.
Web Developer
A Web Developer designs and develops websites. This course may be helpful in developing some of the skills needed to succeed in this role, such as how to manage and analyze data to ensure that websites are accurate and reliable.
Computer Programmer
A Computer Programmer writes and maintains code for software applications and websites. This course may be helpful in developing some of the skills needed to succeed in this role, such as how to manage and analyze data to ensure that code is accurate and reliable.

Reading list

We've selected seven 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 إدارة البيانات في مايكرسوفت إكسل | Managing Data in MS Excel.
This comprehensive guide to Excel will help you take full advantage of Excel's features and capabilities. It contains detailed explanations, step-by-step instructions, and expert tips that will benefit both beginners and experienced users.
Is essential if you wish to take your data analysis and modeling capabilities in Excel to the next level. It focuses on using Power Pivot and Power BI, two powerful tools that will enable you to analyze and visualize large and complex datasets.
Will build your skills in data analysis from beginner to advanced. It starts with basic concepts and gradually moves on to more advanced ones like pivot tables and macros. By completing this book, you will boost your ability to turn complex data into clear and useful conclusions.
Provides a comprehensive overview of Pandas, a powerful Python library for data manipulation and analysis. It covers data structures, data handling, and data exploration techniques. This book will greatly benefit those who want to use Python for data analysis and modeling.
Takes a unique approach to data science by building everything from scratch. You will learn the fundamental principles of data science and how to implement them in Python.
Explores the various tools and techniques which Excel has to offer for data analysis and modeling. It contains valuable insights into Excel's capabilities which can help you turn raw data into useful and understandable information.
Is geared towards scientists who want to use Excel for data analysis. It delves into specialized techniques and methodologies used in scientific research and provides numerous examples from various scientific disciplines.

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