معالجة البيانات وتحليل الأعمال باستخدام برنامج جدول البيانات from Coursera

هذا المشروع مخصص للأشخاص في مجال الأعمال وتحليل البيانات. يوفر لكم الخطوات المهمة لتكون محلل بيانات. علاوة على ذلك ، فإنه يزودك بالمعرفة الموجودة في جداول البيانات المتعلقة بتحليل الأعمال وكيفية التعامل مع البيانات حسب المعادلات.

What's inside

Syllabus

ملخص المشروع

في نهاية هذا المشروع ، ستكون قادرًا على معالجة البيانات بالدوال، وتطبيق المعادلات لاستخراج الكلمات من النص. علاوة على ذلك ، سوف تكون قادرًا على تحديد وإدارة البيانات الخاصة بك. أخيرًا ، ستتمكن من إنشاء جداول الاحصائيات ومعادلات البحث لتلخيص بياناتك وتحليلها. سيوضح لك هذا المشروع كيفية التعامل مع النص وكيفية تحليله لتقديمه بشكل احترافي بطرق مختلفة. هذا المشروع مخصص للأشخاص في مجال الأعمال وتحليل البيانات. يوفر لكم الخطوات المهمة لتكون محلل بيانات. علاوة على ذلك ، فإنه يزودك بالمعرفة الموجودة في جداول البيانات المتعلقة بتحليل الأعمال وكيفية التعامل مع البيانات حسب المعادلات.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

المنهج متناسق وهادف من خلال توفير خطوات هادفة لتصبح محلل بيانات

المنهج متناسب ومفيد في مجال تحليل البيانات والأعمال التجارية

المحتوى ذو صلة بالمجالين الأكاديمي والصناعي، مما يجعله مناسبًا لكل من الطلاب والمهنيين

المنهج يركز على استخدام جداول البيانات، وهي أداة شائعة في مجال تحليل البيانات

المحتوى يعزز المهارات الأساسية لتحليل البيانات، مثل إدارة البيانات ومعالجة النصوص وتحليلها

المحتوى يمكن أن يساعد المتعلمين على بناء أساس متين في تحليل البيانات

Reviews summary

Data science fundamental course

The 3 reviews on this course are all very positive. The students all appreciate how easy to understand the course content is. Overall, students feel that this course is a great foundation for understanding data analysis.

Great for beginners

"This course is a great foundation for understanding data analysis."

Concepts clearly explained

"concepts are very easy to understand"

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 معالجة البيانات وتحليل الأعمال باستخدام برنامج جدول البيانات with these activities:

إجراء عمليات تحليل بسيطة باستخدام معادلات Google Sheets

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ستساعدك هذه التدريبات على بناء أساس قوي في استخدام معادلات Google Sheets لتحليل البيانات، وهو أمر ضروري لفهم واستخدام البيانات بفاعلية.

Browse courses on Google Sheets

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استخدم وظيفة SUM لإضافة قيم الخلايا
استخدم وظيفة AVERAGE لحساب متوسط قيم الخلايا

إنشاء مخططات باستخدام Google Sheets

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سيساعدك إنشاء مخططات على تصور البيانات وفهمها بشكل أفضل، وهو أمر ضروري لتقديم المعلومات بطريقة واضحة وموجزة.

Browse courses on Google Sheets

Show steps

اختر نوع الرسم البياني المناسب لبياناتك
إنشاء رسم بياني باستخدام معالج الرسوم البيانية في Google Sheets

Show all two activities

Career center

Learners who complete معالجة البيانات وتحليل الأعمال باستخدام برنامج جدول البيانات will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts are increasingly responsible for not only analyzing the data but also collecting and preparing it. Proficiency with data management, cleaning, and manipulation is therefore becoming increasingly important in this field. This course can help build a foundation in these skills, covering not only how to manipulate data but also how to apply formulas and extract meaningful context from the data.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts help businesses optimize business processes to improve performance. As such, many Business Analysts have responsibility for working with data - both analyzing it and presenting it in meaningful ways to executives to make informed decisions. This course can help with data analysis and presentation skills.

See salaries and explore the career path for Business Analyst

Data Scientist

Data Scientists apply scientific methods to analyze data, often using advanced statistical modeling and machine learning techniques. They develop models to predict outcomes and identify trends, using these insights to make better decisions. This course can help build a foundation in data analysis and statistical modeling, which are essential skills for Data Scientists.

See salaries and explore the career path for Data Scientist

Quantitative Analyst

Quantitative Analysts use mathematical and statistical modeling to analyze data. These models are used in a variety of settings, from financial risk analysis to assessing the success of marketing campaigns. This course can help build a foundation in data analysis and statistical modeling, which are core skills for Quantitative Analysts.

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Operations Research Analyst

Operations Research Analysts apply analytical methods to solve complex business problems, typically employing optimization techniques. Data analysis underpins almost everything an OR Analyst does - in particular, this course can help develop skills in model formulation and data manipulation.

See salaries and explore the career path for Operations Research Analyst

Market Research Analyst

Market Research Analysts study market and industry trends to better understand potential customers. They gather, analyze and interpret data to understand consumer behavior and preferences, which aids decision-making for products, marketing campaigns, and business strategy. This course can help hone data analysis skills and provide experience with extracting meaningful insights from data.

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Financial Analyst

Financial Analysts use data to evaluate the financial performance of companies and make investment recommendations. This typically involves analyzing company financial statements, industry trends, and economic data. This course can provide a helpful foundation in data analysis, particularly with respect to financial data.

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Actuary

Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They work in a variety of industries, including insurance, finance, and healthcare. This course may be useful for building a foundation in data analysis and modeling, particularly with respect to working with large datasets.

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Data Engineer

Data Engineers design, build, and maintain data pipelines and infrastructure. This involves working with large datasets, often in cloud computing environments. This course may be helpful for building a foundation in data management and manipulation, particularly with respect to working with large and complex datasets.

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Statistician

Statisticians collect, analyze, interpret, and present data. They work in a variety of industries, including healthcare, finance, and research. This course may be useful for building a foundation in data analysis and statistical modeling, particularly with respect to working with complex and large datasets.

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Software Engineer

Software Engineers design, develop, and maintain software applications. While not typically thought of as a data-centric role, many modern applications involve working with and analyzing data. This course may be useful for building a foundation in data management and manipulation, particularly with respect to working with software applications.

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Computer Scientist

Computer Scientists conduct research in the field of computer science and develop new computing technologies. While not typically thought of as a data-centric role, many areas of computer science involve working with and analyzing data. This course may be useful for building a foundation in data management and manipulation, particularly with respect to working with large and complex datasets.

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Database Administrator

Database Administrators manage and maintain databases. This involves ensuring that data is accessible, reliable, and secure. This course may be useful for building a foundation in data management and manipulation, particularly with respect to working with large and complex databases.

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Data Architect

Data Architects design and manage data systems and infrastructure. This involves working with large datasets and ensuring that data is accessible, reliable, and secure. This course may be useful for building a foundation in data management and manipulation, particularly with respect to working with complex and large datasets.

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Information Technology Manager

Information Technology Managers plan, implement, and maintain IT systems and infrastructure. While not typically thought of as a data-centric role, many IT managers are responsible for managing data-related projects and initiatives. This course may be useful for building a foundation in data management and manipulation, particularly with respect to working with large and complex datasets.

See salaries and explore the career path for Information Technology Manager