تحليل البيانات للإجابة عن الأسئلة

Go to Course: https://www.coursera.org/learn/analyze-data-to-answer-questions-arabic

Introduction

### Course Review: تحليل البيانات للإجابة عن الأسئلة In today’s data-driven world, the ability to analyze data effectively is becoming a prerequisite for various roles, especially for aspiring data analysts. The course **تحليل البيانات للإجابة عن الأسئلة** (Data Analysis for Answering Questions) offered through Coursera is pivotal in preparing students with the skills necessary to kick-start their careers in data analytics. This course is the fifth in the Google Data Analytics Professional Certificate series, and it focuses primarily on the “analysis” phase of the data analysis process. #### Overview of the Course The course aims to equip learners with foundational skills that will help them apply their existing knowledge to analyze collected data. Students will gain hands-on experience using spreadsheets and SQL to organize and format their data, thus enhancing their analytical capabilities. The course teaches learners how to perform complex calculations on their data to derive meaningful insights. #### Syllabus Breakdown 1. **Organizing Data for Analysis** - This initial section stresses the importance of data organization. Here, learners will discover how to sort and filter data, making it easier to handle during analysis. The course demonstrates these functions using both spreadsheets and SQL, ensuring students are well-versed in various tools for data preparation. 2. **Formatting and Preparing Data** - As students progress, they will learn the intricacies of transforming and formatting data for analysis. Through this module, they will be introduced to SQL queries that can aid in data merging. The emphasis is also placed on collaboration, highlighting the value of feedback and support from peers, which can lead to new insights and perspectives. 3. **Aggregating Data for Analysis** - In this section, learners will delve into the process of aggregating data to derive comprehensive business insights. The course covers necessary functions and syntax involved in data merging, providing practical exercises on combining data from multiple spreadsheet cells and database tables using SQL queries. 4. **Performing Calculations on Data** - Finally, the course explores various calculations that data analysts typically perform. Students will engage with equations, functions, and pivot tables in spreadsheets, as well as SQL queries. This section emphasizes the practical benefits of using SQL for managing temporary database tables, streamlining the overall analysis process. #### Course Highlights - **Interactive Learning**: The course employs an engaging learning approach with practical exercises, ensuring learners can apply concepts immediately. - **Flexible Scheduling**: Being an online course, it allows participants to learn at their own pace, making it accessible for individuals with varying schedules. - **Industry-Relevant Skills**: Focused on tools and methods used in the real world, the course ensures that learners are equipped with relevant skills needed by employers. - **Certification**: Upon completion, students receive a certificate that adds value to their resumes, demonstrating their proficiency in data analysis. #### Recommendation I highly recommend **تحليل البيانات للإجابة عن الأسئلة** to anyone seeking to build a career in data analytics. Whether you are a complete beginner or someone looking to refresh your skills, this course provides a solid foundation in data handling, organization, and analysis techniques. The structured module format, combined with the interactive assignments, ensures that learners not only understand the theoretical aspects but also gain the practical skills needed in the workplace. Furthermore, being part of the Google Data Analytics Professional Certificate series adds credibility to the course, as it is designed by industry leaders who understand what skills are in demand. Completing this course can significantly enhance your employability and preparation for entry-level data analyst positions. In conclusion, if you are looking to explore the exciting field of data analysis and want to learn how to draw actionable insights from data, enroll in **تحليل البيانات للإجابة عن الأسئلة** and take the first step towards a successful career in data analytics.

Syllabus

تنظيم البيانات لبدء التحليل

يؤدي تنظيم البيانات إلى تسهيل استخدام البيانات في تحليلك. في هذا الجزء من الدورة التدريبية، ستتعرف على أهمية تنظيم بياناتك من خلال الفرز والتصفية. وستستكشف هذه العمليات في كل من جداول البيانات وSQL بينما تستمر في إعداد بياناتك للتحليل.

كلما اقتربت من تحليل بياناتك، ستحتاج إلى تنسيق البيانات وجعلها جاهزة للعمل. في هذا الجزء من الدورة التدريبية، ستتعلم كل شيء عن تحويل البيانات وتنسيقها، بما في ذلك كيف أن استعلامات SQL يمكن ان تساعدك في دمج البيانات. ستعرف أيضًا قيمة الملاحظات والدعم من زملائك وكيف يمكن أن تؤدي إلى معرفة جديدة يمكنك تطبيقها على عملك.

كجزء من تحليلك، غالبًا ما يتعين عليك دمج البيانات من أجل اكتساب رؤى وأهداف عمل كاملة. في هذا الجزء من الدورة التدريبية، سوف تستكشف الدوال والإجراءات وبناء الجملة المتضمنة في دمج البيانات أو تجميعها. ستتعلم كيفية القيام بذلك من خلايا متعددة في جداول بيانات ومن جداول قاعدة بيانات متعددة باستخدام استعلامات SQL.

العمليات الحسابية هي إحدى المهام الأكثر شيوعًا التي يقوم بها محللو البيانات أثناء التحليل. في هذا الجزء من الدورة التدريبية، سوف تستكشف المعادلات والدوال والجداول المحورية في جداول البيانات والاستعلامات في SQL، وكلها ستساعدك في عملياتك الحسابية. ستتعرف أيضًا على فوائد استخدام SQL لإدارة جداول قاعدة البيانات المؤقتة.