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الأسس

البيانات، البيانات في كل مكان

Google Career Certificates

هذه هي الدورة التدريبية الأولى في شهادة تحليلات البيانات من Google. ستزودك هذه الدورات بالمهارات التي تحتاجها للتقدم لوظائف محلل البيانات على المستوى التمهيدي. تحتاج المؤسسات من جميع الأنواع إلى محللي بيانات لمساعدتها على تحسين عملياتها، وتحديد الفرص والاتجاهات، وإطلاق منتجات جديدة، واتخاذ قرارات مدروسة. في هذه الدورة التدريبية، ستتعرف على عالم تحليلات البيانات من خلال المناهج العملية التي طورتها Google. تغطي المواد التي تمت مشاركتها الكثير من موضوعات تحليلات البيانات الرئيسية، وهي مصممة لتوفر لك نظرة عامة على ما سيأتي في شهادة تحليلات البيانات من Google. سيقوم محللو بيانات Google الحاليون بإرشادك وتزويدك بالطرق العملية لإنجاز مهام محلل البيانات الشائعة باستخدام أفضل الأدوات والموارد.

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هذه هي الدورة التدريبية الأولى في شهادة تحليلات البيانات من Google. ستزودك هذه الدورات بالمهارات التي تحتاجها للتقدم لوظائف محلل البيانات على المستوى التمهيدي. تحتاج المؤسسات من جميع الأنواع إلى محللي بيانات لمساعدتها على تحسين عملياتها، وتحديد الفرص والاتجاهات، وإطلاق منتجات جديدة، واتخاذ قرارات مدروسة. في هذه الدورة التدريبية، ستتعرف على عالم تحليلات البيانات من خلال المناهج العملية التي طورتها Google. تغطي المواد التي تمت مشاركتها الكثير من موضوعات تحليلات البيانات الرئيسية، وهي مصممة لتوفر لك نظرة عامة على ما سيأتي في شهادة تحليلات البيانات من Google. سيقوم محللو بيانات Google الحاليون بإرشادك وتزويدك بالطرق العملية لإنجاز مهام محلل البيانات الشائعة باستخدام أفضل الأدوات والموارد.

سيتم تجهيز المتعلمين الذين يكملون برنامج الشهادة هذا للتقدم لوظائف المستوى التمهيدي كمحللين بيانات. لا تلزم خبرة سابقة.

بنهاية هذه الدورة، سوف:

- تكتسب فهم للممارسات والعمليات التي يستخدمها محلل بيانات مبتدئ أو مشارك في وظيفتهم اليومية.

- تتعرّف على المهارات التحليلية الأساسية (تنظيف البيانات، وتحليل البيانات، ومؤثرات عرض البيانات) والأدوات (جداول البيانات، SQL، برمجة R، Tableau) التي يمكنك إضافتها إلى صندوق أدواتك الاحترافي.

- تكتشف مجموعة متنوعة من المصطلحات والمفاهيم ذات الصلة بدور محلل البيانات المبتدئ، مثل دورة حياة البيانات وعملية تحليل البيانات.

- تقيمّ دور التحليلات في النظام الشامل للبيانات.

- تقوم بإجراء تقييم ذاتي للتفكير التحليلي.

- تكتشف فرص العمل المتاحة لك عند الانتهاء من البرنامج، وتتعرّف على أفضل الممارسات في البحث عن وظيفة.

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What's inside

Syllabus

تقديم تحليلات البيانات
تساعدنا البيانات في اتخاذ القرارات في الحياة اليومية وفي الأعمال التجارية. في هذا الجزء الأول من الدورة، ستتعلم كيف يستخدم محللو البيانات تحليلات البيانات وأدوات تجارتهم لإبلاغ تلك القرارات. ستكتشف أيضًا المزيد حول هذه الدورة وتوقعات البرنامج الإجمالية.
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كل شيء عن التفكير التحليلي
يوازن محللو البيانات بين العديد من الأدوار المختلفة في عملهم. في هذا الجزء من الدورة، سوف تتعرف على بعض هذه الأدوار والمهارات الأساسية التي يستخدمها المحللون. ستكتشف أيضًا التفكير التحليلي وكيفية ارتباطه باتخاذ القرار القائم على البيانات.
عالم البيانات الرائع
للبيانات دورة حياة خاصة، وغالبًا ما يتقاطع عمل محللي البيانات مع تلك الدورة. في هذا الجزء من الدورة التدريبية، ستتعرف على كيفية ارتباط كل من دورة حياة البيانات وعمل محللي البيانات بالتقدم الذي تحرزه من خلال هذا البرنامج. ستتعرف أيضًا على التطبيقات المستخدمة في عملية تحليل البيانات.
إعداد صندوق الأدوات
أثناء التعلم، تُعد جداول البيانات ولغات الاستعلام وأدوات مؤشرات عرض البيانات جزءًا كبيرًا من عمل محلل البيانات. في هذا الجزء من الدورة، ستتعرف على المزيد حول المفاهيم الأساسية المتضمنة، وتستكشف بعض الأمثلة عن كيفية عمل هذه الأدوات.
إمكانيات وظيفية لا حصر لها
تقدر الشركات بجميع أنواعها العمل الذي يقوم به محللو البيانات. في هذا الجزء من الدورة، ستتعرف على هذه الشركات التجارية والوظائف والمهام المحددة التي يؤديها المحللون. ستتعلم أيضًا كيف ستساعدك شهادة محلل البيانات في تلبية العديد من متطلبات الحصول على منصب في هذه الشركات التجارية.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Opens doors to entry-level roles for students with no prior experience
Taught by instructing professionals currently working as Google Data Analysts
Provides a comprehensive overview of key topics in data analysis
In-demand skills taught include data cleaning, analysis, visualization, and programming
Prepares learners to apply data analytics in a variety of career paths

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Career center

Learners who complete الأسس: البيانات، البيانات في كل مكان will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts are in high demand across a variety of industries. They use data to identify trends, solve problems, and make informed decisions. Google's Data Analytics Certificate can help you build the skills you need to become a Data Analyst, including data cleaning, data analysis, and data visualization. This course will also introduce you to the tools and technologies used by Data Analysts, such as spreadsheets, SQL, R programming, and Tableau.
Business Analyst
Business Analysts use data to understand business processes and identify opportunities for improvement. They work with stakeholders to gather requirements, analyze data, and develop recommendations. Google's Data Analytics Certificate can help you build the skills you need to become a Business Analyst, including data analysis, problem-solving, and communication. This course will also introduce you to the tools and technologies used by Business Analysts, such as spreadsheets, SQL, and data visualization software.
Data Scientist
Data Scientists use data to build models and predict future outcomes. They work with large datasets and use advanced statistical techniques to identify patterns and trends. Google's Data Analytics Certificate can help you build the foundation you need to become a Data Scientist. This course will introduce you to the basics of data analysis, including data cleaning, data wrangling, and data visualization. You will also learn about the different types of machine learning algorithms and how to use them to build predictive models.
Market Researcher
Market Researchers use data to understand customer needs and preferences. They conduct surveys, focus groups, and other research studies to collect data about consumer behavior. Google's Data Analytics Certificate can help you build the skills you need to become a Market Researcher, including data analysis, survey design, and data visualization. This course will also introduce you to the tools and technologies used by Market Researchers, such as spreadsheets, SQL, and data visualization software.
Financial Analyst
Financial Analysts use data to evaluate the financial performance of companies and make investment recommendations. They analyze financial statements, conduct industry research, and build financial models. Google's Data Analytics Certificate can help you build the skills you need to become a Financial Analyst, including data analysis, financial modeling, and data visualization. This course will also introduce you to the tools and technologies used by Financial Analysts, such as spreadsheets, SQL, and financial modeling software.
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency of business processes. They develop mathematical models to simulate and analyze business operations. Google's Data Analytics Certificate can help you build the skills you need to become an Operations Research Analyst, including data analysis, optimization, and simulation. This course will also introduce you to the tools and technologies used by Operations Research Analysts, such as spreadsheets, SQL, and optimization software.
Actuary
Actuaries use data to assess risk and uncertainty. They develop models to predict the likelihood of future events, such as death, disability, and property damage. Google's Data Analytics Certificate can help you build the skills you need to become an Actuary, including data analysis, probability, and statistics. This course will also introduce you to the tools and technologies used by Actuaries, such as spreadsheets, SQL, and actuarial software.
Statistician
Statisticians use data to collect, analyze, interpret, and present data. They work in a variety of fields, including healthcare, education, and government. Google's Data Analytics Certificate can help you build the skills you need to become a Statistician, including data analysis, probability, and statistics. This course will also introduce you to the tools and technologies used by Statisticians, such as spreadsheets, SQL, and statistical software.
Data Engineer
Data Engineers design and build the systems that store and process data. They work with data scientists and other data professionals to ensure that data is available and accessible for analysis. Google's Data Analytics Certificate can help you build the skills you need to become a Data Engineer, including data management, data engineering, and data architecture. This course will also introduce you to the tools and technologies used by Data Engineers, such as databases, data warehousing, and data processing tools.
Database Administrator
Database Administrators manage and maintain databases. They ensure that data is stored securely and efficiently and that it is available to users when they need it. Google's Data Analytics Certificate can help you build the skills you need to become a Database Administrator, including data management, database administration, and data security. This course will also introduce you to the tools and technologies used by Database Administrators, such as databases, database management systems, and data security tools.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with data to build features and functionality for these applications. Google's Data Analytics Certificate can help you build the skills you need to become a Software Engineer, including data analysis, programming, and software development. This course will also introduce you to the tools and technologies used by Software Engineers, such as programming languages, software development tools, and data analysis tools.
Web Developer
Web Developers design and develop websites. They work with data to build features and functionality for these websites. Google's Data Analytics Certificate can help you build the skills you need to become a Web Developer, including data analysis, programming, and web development. This course will also introduce you to the tools and technologies used by Web Developers, such as programming languages, web development tools, and data analysis tools.
Data Visualization Specialist
Data Visualization Specialists create visual representations of data. They work with data to design charts, graphs, and other visuals that communicate data insights. Google's Data Analytics Certificate can help you build the skills you need to become a Data Visualization Specialist, including data analysis, data visualization, and communication. This course will also introduce you to the tools and technologies used by Data Visualization Specialists, such as data visualization software, charting tools, and presentation software.
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. Google's Data Analytics Certificate may be useful in this field, as it provides a foundation in data analysis and data security. This course will introduce you to the tools and technologies used by Information Security Analysts, such as security software, intrusion detection systems, and firewalls.
Computer Systems Analyst
Computer Systems Analysts design, develop, and implement computer systems. Google's Data Analytics Certificate may be useful in this field, as it provides a foundation in data analysis and data management. This course will introduce you to the tools and technologies used by Computer Systems Analysts, such as systems analysis tools, project management software, and data management tools.

Reading list

We've selected 13 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 الأسس: البيانات، البيانات في كل مكان.
Provides a comprehensive introduction to statistical learning, covering both supervised and unsupervised learning methods. It valuable reference for those seeking a solid foundation in statistical learning and its applications.
Is essential for learners interested in gaining proficiency in Python for data analysis. It covers essential topics such as data manipulation, statistical analysis, and data visualization using libraries like NumPy, Pandas, and Matplotlib.
Classic in the field of statistical learning and provides advanced coverage of machine learning algorithms and techniques. It is suitable for experienced learners seeking in-depth knowledge and theoretical understanding of statistical learning.
Offers a practical approach to data visualization, guiding learners in effectively communicating data insights through charts, graphs, and other visual representations. It is highly relevant for those interested in developing their data visualization skills.
Offers a practical approach to machine learning using popular Python libraries like Scikit-Learn, Keras, and TensorFlow. It provides hands-on exercises and examples, making it suitable for those seeking to implement machine learning models in real-world scenarios.
Provides a comprehensive overview of advanced analytics using the R programming language. It covers techniques like time series analysis, forecasting, and text mining, making it valuable for those seeking to apply advanced analytics techniques to real-world problems.
Provides a solid overview of foundational data analytics concepts, including data collection, cleaning, analysis, and visualization, making it suitable for those new to the field or seeking to refresh their knowledge.
Provides a hands-on introduction to data analytics using Python, covering data manipulation, analysis, and visualization. It is suitable for those seeking to learn Python for data analytics and apply it to real-world projects.
Offers a practical approach to data mining, covering techniques for data preprocessing, feature selection, and model evaluation. It is suitable for those seeking to apply data mining techniques to their work and gain insights from data.
Provides a comprehensive overview of big data analytics, covering techniques, algorithms, and applications in depth. It is suitable for learners seeking a deeper understanding of the challenges and opportunities presented by big data.
Explores the use of predictive analytics in various industries, providing insights into how data can be used to make predictions and improve decision-making. It is suitable for those interested in understanding the potential and applications of predictive analytics.
Explores the intersection of data science and business, highlighting real-world applications and case studies. It provides valuable insights into how data science can drive business decisions and create value.

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