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نظرة عامة على تحليل بيانات العملاء باستخدام Excel

Nermin Elgrawany
أهلا بيكم في مشروع تحليل بيانات العملاء باستخدام Excel معكم باشمهندس / احمد ماهر انا مهندس اتصالات والكترونيات وعندي خبيرة بتتجاوز ال 4 سنين في مجال الشبكات وتحليل البيانات واستخدامها في التطبيقات المختلفه لمساعدة العملاء في مجال عملهم، بنهاية هذا المشروع ،...
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أهلا بيكم في مشروع تحليل بيانات العملاء باستخدام Excel معكم باشمهندس / احمد ماهر انا مهندس اتصالات والكترونيات وعندي خبيرة بتتجاوز ال 4 سنين في مجال الشبكات وتحليل البيانات واستخدامها في التطبيقات المختلفه لمساعدة العملاء في مجال عملهم، بنهاية هذا المشروع ، ستكون خبير في طرق وإستراتيجيات تحليل بيانات العملاء باستخدام Excel. تحليل بيانات العملاء هي عملية يتم من خلالها استخدام البيانات من سلوك العميل للمساعدة في اتخاذ قرارات العمل الرئيسية ويتم استخدام هذه المعلومات من قبل الشركات للتسويق المباشر واختيار الموقع وإدارة علاقات العملاء من خلال تطبيق بعض الاستراتيجيات لتحليل بيانات العملاء مثل استراتيجية تقسيم العملاء الى شرائح او Segmentation ، استراتيجية انسحاب العملاء او Customer churn ، استراتيجية القيمة الدائمة للعميل Customer Lifetime ، استراتيجية اكتساب العملاء او Customer Acquisition، و استراتيجية رضا العملاء Customer Satisfaction ، وبالتالي يؤهلكم للحصول على فرص أفضل في سوق العمل. هذا المشروع مخصص للمبتدئين في مجال تحليل بيانات العملاء سواء كنت جديد تماما وتريد معرفة المفاهيم الاساسية او تريد توسيع فهمك في هذا المجال، اذا هذا المشروع مثالي بالنسبة لك، حيث يعتمد هذا المشروع على برنامج Excel الذي يستخدم جداول البيانات لتنظيم الأرقام والبيانات بالصيغ والوظائف، وتحليل Excel منتشر في كل مكان حول العالم وتستخدمه الشركات من جميع الأحجام لإجراء التحليلات المختلفة.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Tailored for beginners in customer data analytics, whether new or experienced
Leverages Microsoft Excel, a widely used data analysis tool in various industries
Provides strategies for segmenting, understanding, and optimizing customer relationships
Helps learners acquire essential skills for career development in customer data analytics
Taught by an experienced engineer with expertise in data analysis and customer service
Requires access to Microsoft Excel, which may not be readily available for all learners

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Career center

Learners who complete نظرة عامة على تحليل بيانات العملاء باستخدام Excel will develop knowledge and skills that may be useful to these careers:
Customer Relationship Manager
Customer Relationship Managers (CRMs) build relationships with customers to increase satisfaction and loyalty. This course can help CRMs understand how to analyze customer data to identify trends, segment customers, and develop targeted marketing campaigns. By learning how to use Excel to analyze customer data, CRMs can gain insights that help them improve customer interactions and drive business growth.
Marketing Analyst
Marketing Analysts use data to understand customer behavior and develop marketing campaigns. This course can help Marketing Analysts learn how to use Excel to analyze customer data, identify trends, and segment customers. By gaining proficiency in Excel, Marketing Analysts can become more effective in developing and executing data-driven marketing campaigns.
Data Analyst
Data Analysts use data to solve business problems and make informed decisions. This course can help Data Analysts learn how to use Excel to analyze customer data, identify trends, and develop predictive models. By gaining proficiency in Excel, Data Analysts can become more effective in using data to drive business outcomes.
Business Analyst
Business Analysts use data to understand business processes and identify areas for improvement. This course can help Business Analysts learn how to use Excel to analyze customer data, identify trends, and develop recommendations for improving business processes. By gaining proficiency in Excel, Business Analysts can become more effective in using data to drive business value.
Operations Research Analyst
Operations Research Analysts use data to optimize business operations. This course can help Operations Research Analysts learn how to use Excel to analyze customer data, identify trends, and develop optimization models. By gaining proficiency in Excel, Operations Research Analysts can become more effective in using data to improve business efficiency.
Financial Analyst
Financial Analysts use data to evaluate investment opportunities and make recommendations. This course can help Financial Analysts learn how to use Excel to analyze customer data, identify trends, and develop financial models. By gaining proficiency in Excel, Financial Analysts can become more effective in using data to make sound investment decisions.
Risk Analyst
Risk Analysts use data to identify and mitigate risks. This course can help Risk Analysts learn how to use Excel to analyze customer data, identify trends, and develop risk models. By gaining proficiency in Excel, Risk Analysts can become more effective in using data to manage risk and protect businesses from financial losses.
Fraud Analyst
Fraud Analysts use data to detect and investigate fraudulent transactions. This course can help Fraud Analysts learn how to use Excel to analyze customer data, identify trends, and develop fraud detection models. By gaining proficiency in Excel, Fraud Analysts can become more effective in using data to protect businesses from fraud.
Compliance Analyst
Compliance Analysts use data to ensure that businesses comply with laws and regulations. This course can help Compliance Analysts learn how to use Excel to analyze customer data, identify trends, and develop compliance reports. By gaining proficiency in Excel, Compliance Analysts can become more effective in using data to ensure that businesses operate in a compliant manner.
Market Research Analyst
Market Research Analysts use data to understand customer needs and preferences. This course can help Market Research Analysts learn how to use Excel to analyze customer data, identify trends, and develop market research reports. By gaining proficiency in Excel, Market Research Analysts can become more effective in using data to inform marketing strategies and product development.
Sales Analyst
Sales Analysts use data to understand sales trends and identify opportunities for growth. This course can help Sales Analysts learn how to use Excel to analyze customer data, identify trends, and develop sales forecasts. By gaining proficiency in Excel, Sales Analysts can become more effective in using data to drive sales growth.
Customer Success Manager
Customer Success Managers use data to ensure that customers are satisfied with their products or services. This course can help Customer Success Managers learn how to use Excel to analyze customer data, identify trends, and develop customer success plans. By gaining proficiency in Excel, Customer Success Managers can become more effective in using data to improve customer satisfaction and retention.
Project Manager
Project Managers use data to track project progress and identify risks. This course may help Project Managers learn how to use Excel to analyze customer data, identify trends, and develop project plans. By gaining proficiency in Excel, Project Managers may become more effective in using data to manage projects and ensure successful outcomes.
Consultant
Consultants use data to help businesses solve problems and improve performance. This course may help Consultants learn how to use Excel to analyze customer data, identify trends, and develop consulting reports. By gaining proficiency in Excel, Consultants may become more effective in using data to provide valuable insights and recommendations to clients.
Entrepreneur
Entrepreneurs use data to make informed decisions about their businesses. This course may help Entrepreneurs learn how to use Excel to analyze customer data, identify trends, and develop business plans. By gaining proficiency in Excel, Entrepreneurs may become more effective in using data to grow their businesses and achieve success.

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 نظرة عامة على تحليل بيانات العملاء باستخدام Excel .
Data Analysis Using Excel comprehensive guide to using Excel for data analysis. It covers a wide range of topics, from data cleaning and preparation to statistical analysis and visualization. Useful as either a supplementary resource or background knowledge.
Teaches how to use Excel to perform data analysis and business modeling. It covers a wide range of topics, from data visualization to financial modeling. Useful as a supplement that covers essential data analysis tools.
Provides a comprehensive overview of econometric analysis of customer data. It covers topics such as customer segmentation, customer churn, and customer lifetime value. Useful as a supplement for students with a background in econometrics.
Provides provides a strategic overview of customer relationship management (CRM). It covers topics such as customer segmentation, customer loyalty, and customer service. Useful additional reading to broaden the background for the course.
Provides a comprehensive overview of data mining and business intelligence. It covers topics such as data preprocessing, data mining algorithms, and data visualization. Useful supplement that adds extra context on a tangential subject.

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