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هذه هي الدورة الثانية في شهادة تحليلات البيانات من Google. ستزودك هذه الدورات بالمهارات اللازمة للتقدم لوظائف محلل البيانات على المستوى التمهيدي. ستبنى على فهمك للموضوعات التي تم تقديمها في الدورة الأولى لشهادة تحليلات البيانات من Google. ستساعدك المواد على تعلم كيفية طرح أسئلة فعالة لاتخاذ قرارات قائمة على البيانات، مع التواصل لتلبية احتياجات الأطراف المعنية. سيستمر محللو بيانات Google الحاليون بإرشادك وتزويدك بالطرق العملية لإنجاز مهام محلل البيانات الشائعة باستخدام أفضل الأدوات والموارد.

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هذه هي الدورة الثانية في شهادة تحليلات البيانات من Google. ستزودك هذه الدورات بالمهارات اللازمة للتقدم لوظائف محلل البيانات على المستوى التمهيدي. ستبنى على فهمك للموضوعات التي تم تقديمها في الدورة الأولى لشهادة تحليلات البيانات من Google. ستساعدك المواد على تعلم كيفية طرح أسئلة فعالة لاتخاذ قرارات قائمة على البيانات، مع التواصل لتلبية احتياجات الأطراف المعنية. سيستمر 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، ستكون قادرًا على:

- التعرف على تقنيات طرح الأسئلة الفعالة التي يمكن أن تساعد في توجيه التحليل.

- اكتساب فهم لعملية اتخاذ القرار القائم على البيانات وكيف يقدم محللو البيانات النتائج.

- اكتشاف مجموعة متنوعة من سيناريوهات الأعمال في العالم الحقيقي لدعم فهم طرح الأسئلة واتخاذ القرار.

- اكتشاف كيف ولماذا تعد جداول البيانات أداة مهمة لمحللي البيانات.

- فحص الأفكار الرئيسية المرتبطة بالتفكير المنظم وكيف يمكن أن تساعد المحللين على فهم المشكلات بشكل أفضل ووضع الحلول.

- تعلم استراتيجيات لإدارة توقعات الأطراف المعنية أثناء إنشاء اتصال واضح مع فريق تحليل البيانات لتحقيق أهداف العمل.

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Syllabus

الأسئلة الفعالة
للقيام بوظيفة محلل بيانات، تحتاج إلى طرح الأسئلة وحل المشكلات. في هذا الجزء من الدورة، ستطلع على بعض تحديات التحليل الشائعة وكيف يتعامل المحللون معها. ستتعرف أيضًا على تقنيات طرح الأسئلة الفعالة التي يمكن أن تساعد في توجيه تحليلك.
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قرارات قائمة على البيانات
في التحليلات، تعد البيانات هي الدافع لاتخاذ القرار. في هذا الجزء من الدورة، ستستكشف البيانات بجميع أنواعها وتأثيرها على الخيارات والاستراتيجيات الواقعية. ستتعلم أيضًا كيفية مشاركة بياناتك من خلال التقارير ولوحات المعلومات.
المزيد من أساسيات جداول البيانات
تعد جداول البيانات أداة مهمة جدًا لتحليل البيانات. في هذا الجزء من الدورة، ستتعرف على كيفية استخدام محللي البيانات لجداول البيانات في عملهم يوميًا. ستستكشف أيضًا كيف يمكن للتفكير المنظم أن يساعد المحللين على فهم المشكلات بشكل أفضل والتوصل إلى حلول.
تذكر الطرف المعني دائمًا
يتعلم محللو البيانات الناجحون التوازن بين الاحتياجات والتوقعات. في هذا الجزء من الدورة التدريبية، ستتعلم إستراتيجيات لإدارة توقعات الطرف المعني أثناء إجراء تواصل واضح مع فريقك.

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Know what's good
, what to watch for
, and possible dealbreakers
Develops foundational industry-standard skills in data analytics
Teaches core skills in data analysis that support the decision-making process
Builds skills that prepare learners for entry level data analyst roles
Provides opportunities to hone skills related to effectively asking questions
Emphasizes the importance of considering stakeholders while presenting the results of data analysis

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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 طرح الأسئلة لاتخاذ قرارات قائمة على البيانات with these activities:
Connect with Experienced Data Analysts
Seek guidance from individuals with expertise in data analysis to accelerate your learning and gain valuable insights.
Show steps
  • Attend industry events or join online groups to connect with data analysts.
  • Reach out to professionals in your network or through social media platforms.
Review SQL Basics
Revisit the basics of SQL to strengthen your foundation in data manipulation and querying.
Browse courses on SQL
Show steps
  • Go through an online SQL tutorial or refresher course.
  • Practice writing and executing SQL queries on a sample database.
Join a Study Group
Collaborate with peers to enhance your understanding and reinforce concepts through discussions and shared learning.
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  • Connect with other students in the course or online forums.
  • Organize regular study sessions to discuss course material and work on assignments together.
Five other activities
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Solve Data Analysis Practice Problems
Engage in targeted practice to improve your ability to analyze and solve data-related challenges.
Browse courses on Data Analysis
Show steps
  • Find online resources or textbooks with data analysis practice problems.
  • Allocate dedicated time to solving these problems.
  • Review your solutions and identify areas for improvement.
Offer Support to Fellow Learners
Solidify your understanding by sharing your knowledge and assisting others in their learning journey.
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  • Identify discussion forums or online communities related to the course.
  • Actively participate in discussions and provide support to other learners.
Explore Advanced Data Visualization Techniques
Expand your knowledge by learning advanced techniques in data visualization to effectively communicate insights.
Browse courses on Data Visualization
Show steps
  • Identify specific areas of data visualization you want to improve in.
  • Search for online tutorials or workshops that cover these topics.
  • Follow the tutorials and apply the techniques in your own projects.
Build a Data Dashboard
Enhance your practical skills by creating an interactive data dashboard that effectively communicates insights.
Browse courses on Data Visualization
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  • Identify a specific business question or problem that the dashboard will address.
  • Design the dashboard layout and choose appropriate visualizations.
  • Develop the dashboard using a tool like Tableau or Power BI.
Develop a Data Analysis Case Study
Apply your skills by creating a comprehensive case study that showcases your data analysis capabilities.
Browse courses on Data Analysis
Show steps
  • Choose a real-world business problem or dataset that interests you.
  • Analyze the data using appropriate techniques and tools.
  • Present your findings and recommendations in a clear and concise report.

Career center

Learners who complete طرح الأسئلة لاتخاذ قرارات قائمة على البيانات will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst uses data to solve business problems. They collect, clean, and analyze data to identify trends and patterns. They then use this information to make recommendations to businesses. This course will help you develop the skills you need to be a successful Data Analyst. You will learn how to ask effective questions, analyze data, and communicate your findings to stakeholders. You will also learn how to use data to make better decisions.
Business Analyst
A Business Analyst helps businesses to improve their performance. They analyze data, identify problems, and develop solutions. They also work with stakeholders to implement these solutions. This course will help you develop the skills you need to be a successful Business Analyst. You will learn how to ask effective questions, analyze data, and communicate your findings to stakeholders. You will also learn how to use data to make better decisions.
Operations Research Analyst
An Operations Research Analyst uses mathematical models to solve business problems. They analyze data, identify inefficiencies, and develop solutions. They also work with stakeholders to implement these solutions. This course will help you develop the skills you need to be a successful Operations Research Analyst. You will learn how to ask effective questions, analyze data, and communicate your findings to stakeholders. You will also learn how to use data to make better decisions.
Market Research Analyst
A Market Research Analyst conducts research to understand consumer needs and trends. They collect, analyze, and interpret data to help businesses make better decisions. This course will help you develop the skills you need to be a successful Market Research Analyst. You will learn how to ask effective questions, analyze data, and communicate your findings to stakeholders. You will also learn how to use data to make better decisions.
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. They use data to identify trends and patterns, and they develop models to predict future performance. This course will help you develop the skills you need to be a successful Financial Analyst. You will learn how to ask effective questions, analyze data, and communicate your findings to stakeholders. You will also learn how to use data to make better decisions.
Data Scientist
A Data Scientist uses data to solve problems and make predictions. They use a variety of techniques to analyze data, including machine learning and artificial intelligence. This course will help you develop the skills you need to be a successful Data Scientist. You will learn how to ask effective questions, analyze data, and communicate your findings to stakeholders. You will also learn how to use data to make better decisions.
Statistician
A Statistician collects, analyzes, and interprets data. They use statistical methods to make inferences about populations. This course will help you develop the skills you need to be a successful Statistician. You will learn how to ask effective questions, analyze data, and communicate your findings to stakeholders. You will also learn how to use data to make better decisions.
Epidemiologist
An Epidemiologist studies the distribution and patterns of health-related states and events in a population. They use data to identify risk factors for disease and develop strategies to prevent and control disease outbreaks. This course will help you develop the skills you need to be a successful Epidemiologist. You will learn how to ask effective questions, analyze data, and communicate your findings to stakeholders. You will also learn how to use data to make better decisions.
Actuary
An Actuary uses mathematical and statistical techniques to assess risk and uncertainty. They use data to develop insurance policies and pricing. This course will help you develop the skills you need to be a successful Actuary. You will learn how to ask effective questions, analyze data, and communicate your findings to stakeholders. You will also learn how to use data to make better decisions.
Risk Analyst
A Risk Analyst identifies and assesses risks to an organization. They use data to develop strategies to mitigate these risks. This course will help you develop the skills you need to be a successful Risk Analyst. You will learn how to ask effective questions, analyze data, and communicate your findings to stakeholders. You will also learn how to use data to make better decisions.
Compliance Analyst
A Compliance Analyst ensures that an organization complies with laws and regulations. They review data to identify potential risks and develop strategies to mitigate these risks. This course will help you develop the skills you need to be a successful Compliance Analyst. You will learn how to ask effective questions, analyze data, and communicate your findings to stakeholders. You will also learn how to use data to make better decisions.
Fraud Analyst
A Fraud Analyst investigates and prevents fraud. They use data to identify suspicious activity and develop strategies to prevent fraud from occurring. This course will help you develop the skills you need to be a successful Fraud Analyst. You will learn how to ask effective questions, analyze data, and communicate your findings to stakeholders. You will also learn how to use data to make better decisions.
Data Security Analyst
A Data Security Analyst protects data from unauthorized access, use, disclosure, disruption, modification, or destruction. They use data to identify security risks and develop strategies to mitigate these risks. This course will help you develop the skills you need to be a successful Data Security Analyst. You will learn how to ask effective questions, analyze data, and communicate your findings to stakeholders. You will also learn how to use data to make better decisions.
Network Security Analyst
A Network Security Analyst protects computer networks from unauthorized access, use, disclosure, disruption, modification, or destruction. They use data to identify security risks and develop strategies to mitigate these risks. This course will help you develop the skills you need to be a successful Network Security Analyst. You will learn how to ask effective questions, analyze data, and communicate your findings to stakeholders. You will also learn how to use data to make better decisions.
Information Security Analyst
An Information Security Analyst protects information from unauthorized access, use, disclosure, disruption, modification, or destruction. They use data to identify security risks and develop strategies to mitigate these risks. This course will help you develop the skills you need to be a successful Information Security Analyst. You will learn how to ask effective questions, analyze data, and communicate your findings to stakeholders. You will also learn how to use data to make better decisions.

Reading list

We've selected 17 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 طرح الأسئلة لاتخاذ قرارات قائمة على البيانات.
Classic text on statistical learning. It covers topics such as supervised learning, unsupervised learning, and statistical modeling. It valuable resource for learners who want to gain a deep understanding of statistical learning.
Provides a comprehensive introduction to statistical learning. It covers topics such as supervised learning, unsupervised learning, and model evaluation. It valuable resource for learners who want to gain a deep understanding of statistical learning.
Comprehensive guide to deep learning. It covers topics such as deep neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for learners who want to gain a deep understanding of deep learning.
Provides a framework for asking effective questions, which is essential for data analysis and decision-making.
Provides a comprehensive overview of data science techniques and their applications in business. It covers topics such as data collection, cleaning, analysis, and visualization. It valuable resource for learners who want to gain a solid foundation in data science.
Provides a practical guide to machine learning with Python. It covers topics such as supervised learning, unsupervised learning, and deep learning. It valuable resource for learners who want to develop their skills in machine learning.
Provides a comprehensive introduction to causal inference. It covers topics such as graphical models, counterfactuals, and causal effects. It valuable resource for learners who want to gain a deep understanding of causal inference.
Classic text on reinforcement learning. It covers topics such as Markov decision processes, dynamic programming, and reinforcement learning algorithms. It valuable resource for learners who want to gain a deep understanding of reinforcement learning.
Provides a comprehensive guide to time series analysis with R. It covers topics such as time series data, time series models, and time series forecasting. It valuable resource for learners who want to gain a deep understanding of time series analysis.
Provides a comprehensive guide to natural language processing with Python. It covers topics such as text preprocessing, text classification, and text generation. It valuable resource for learners who want to gain a deep understanding of natural language processing.
Provides a comprehensive guide to data mining with R. It covers topics such as data preprocessing, feature selection, and model evaluation. It valuable resource for learners who want to develop their skills in data mining.
Provides a practical guide to using SQL and Excel for data analysis. It covers topics such as data querying, data manipulation, and data visualization. It valuable resource for learners who want to develop their skills in data analysis.
Provides a practical guide to regression analysis. It covers topics such as simple linear regression, multiple linear regression, and logistic regression. It valuable resource for learners who want to develop their skills in regression analysis.
Provides a gentle introduction to machine learning for business professionals. It covers topics such as supervised learning, unsupervised learning, and model evaluation. It valuable resource for learners who want to understand the basics of machine learning.

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