We may earn an affiliate commission when you visit our partners.
Course image
Course image
Coursera logo

منهجية علم البيانات

Alex Aklson and Polong Lin
على الرغم من الزيادة الأخيرة في قوة الحوسبة والوصول إلى البيانات على مدى العقدين الماضيين، فإن قدرتنا على استخدام البيانات في عملية صنع القرار إما فُقدت أو لم يتم تعزيزها على الإطلاق في كثير من الأحيان، فليس لدينا فهم قوي للأسئلة التي يتم طرحها وكيفية تطبيق...
Read more
على الرغم من الزيادة الأخيرة في قوة الحوسبة والوصول إلى البيانات على مدى العقدين الماضيين، فإن قدرتنا على استخدام البيانات في عملية صنع القرار إما فُقدت أو لم يتم تعزيزها على الإطلاق في كثير من الأحيان، فليس لدينا فهم قوي للأسئلة التي يتم طرحها وكيفية تطبيق البيانات بشكل صحيح على المشكلة المطروحة. إن هذه الدورة التدريبية لها غرض واحد، وهو مشاركة المنهجية التي يمكن استخدامها في علم البيانات، للتأكد من أن البيانات المستخدمة في حل المشكلات ذات صلة وتم معالجتها بشكل صحيح لمعالجة السؤال المطروح. وبناءً عليه، ستتعلم في هذه الدورة التدريبية ما يلي: - الخطوات الرئيسية المتضمنة في معالجة مشكلة علم البيانات. - الخطوات الرئيسية المتضمنة في ممارسة علم البيانات، من تشكيل مشكلة عمل أو بحث ملموسة، إلى جمع البيانات وتحليلها، إلى بناء نموذج، وفهم التعقيبات بعد نشر النموذج. - كيف يفكر علماء البيانات! عرض لفترة محدودة: الاشتراك تكلفته 39 دولارًا أمريكيًا فقط كل شهر للوصول إلى مواد ذات درجات وشهادة.
Enroll now

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Suitable for those new to data science, offering a solid foundation in methodology and practice
Taught by experienced instructors Alex Aklson and Polong Lin
Includes hands-on labs and interactive materials for practical application of concepts

Save this course

Save منهجية علم البيانات to your list so you can find it easily later:
Save

Reviews summary

Highly acclaimed data science methodology course

This course on data science methodology has received glowing reviews from students, earning a perfect 5-star rating from all reviewers. Students appreciate the clear and concise instruction, which provides a solid foundation in the field.

Activities

Coming soon We're preparing activities for منهجية علم البيانات. These are activities you can do either before, during, or after a course.

Career center

Learners who complete منهجية علم البيانات will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists are responsible for collecting, analyzing, and interpreting data to help businesses make informed decisions. This course provides a strong foundation in the methodologies used in data science, including data collection, analysis, and modeling. Additionally, the course covers how to communicate findings to stakeholders, which is an essential skill for Data Scientists.
Data Analyst
Data Analysts use data to solve business problems. They collect, clean, and analyze data to identify trends and patterns. This course provides a strong foundation in the methodologies used by Data Analysts, including data collection, analysis, and visualization. Additionally, the course covers how to communicate findings to stakeholders, which is an essential skill for Data Analysts.
Business Analyst
Business Analysts use data to help businesses improve their operations. They analyze data to identify opportunities for improvement and develop recommendations for change. This course provides a strong foundation in the methodologies used by Business Analysts, including data collection, analysis, and modeling. Additionally, the course covers how to communicate findings to stakeholders, which is an essential skill for Business Analysts.
Statistician
Statisticians use data to solve problems in a variety of fields, including business, medicine, and engineering. They collect, analyze, and interpret data to draw conclusions about the world around us. This course provides a strong foundation in the methodologies used by Statisticians, including data collection, analysis, and modeling. Additionally, the course covers how to communicate findings to stakeholders, which is an essential skill for Statisticians.
Machine Learning Engineer
Machine Learning Engineers develop and implement machine learning models to solve business problems. They use data to train models that can make predictions or decisions. This course provides a strong foundation in the methodologies used by Machine Learning Engineers, including data collection, analysis, and modeling. Additionally, the course covers how to communicate findings to stakeholders, which is an essential skill for Machine Learning Engineers.
Data Engineer
Data Engineers build and maintain the infrastructure that is used to store and process data. They work with data scientists and other data professionals to ensure that data is available and accessible. This course provides a strong foundation in the methodologies used by Data Engineers, including data collection, storage, and processing. Additionally, the course covers how to communicate findings to stakeholders, which is an essential skill for Data Engineers.
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. This course provides a strong foundation in the methodologies used by Database Administrators, including data storage, security, and backup. Additionally, the course covers how to communicate findings to stakeholders, which is an essential skill for Database Administrators.
Software Engineer
Software Engineers design, develop, and maintain software applications. They use data to create software that is efficient, reliable, and user-friendly. This course provides a strong foundation in the methodologies used by Software Engineers, including data collection, analysis, and modeling. Additionally, the course covers how to communicate findings to stakeholders, which is an essential skill for Software Engineers.
Quantitative Analyst
Quantitative Analysts use data to make investment decisions. They analyze data to identify trends and patterns and develop models to predict future market behavior. This course provides a strong foundation in the methodologies used by Quantitative Analysts, including data collection, analysis, and modeling. Additionally, the course covers how to communicate findings to stakeholders, which is an essential skill for Quantitative Analysts.
Actuary
Actuaries use data to assess risk. They analyze data to determine the likelihood of future events and develop models to calculate the potential financial impact of those events. This course provides a strong foundation in the methodologies used by Actuaries, including data collection, analysis, and modeling. Additionally, the course covers how to communicate findings to stakeholders, which is an essential skill for Actuaries.
Economist
Economists use data to understand the economy. They analyze data to identify trends and patterns and develop models to predict future economic behavior. This course provides a strong foundation in the methodologies used by Economists, including data collection, analysis, and modeling. Additionally, the course covers how to communicate findings to stakeholders, which is an essential skill for Economists.
Financial Analyst
Financial Analysts use data to make investment decisions. They analyze data to identify trends and patterns and develop models to predict future market behavior. This course provides a strong foundation in the methodologies used by Financial Analysts, including data collection, analysis, and modeling. Additionally, the course covers how to communicate findings to stakeholders, which is an essential skill for Financial Analysts.
Market Researcher
Market Researchers use data to understand consumer behavior. They analyze data to identify trends and patterns and develop models to predict future consumer behavior. This course provides a strong foundation in the methodologies used by Market Researchers, including data collection, analysis, and modeling. Additionally, the course covers how to communicate findings to stakeholders, which is an essential skill for Market Researchers.
Operations Research Analyst
Operations Research Analysts use data to solve business problems. They analyze data to identify opportunities for improvement and develop models to optimize business processes. This course provides a strong foundation in the methodologies used by Operations Research Analysts, including data collection, analysis, and modeling. Additionally, the course covers how to communicate findings to stakeholders, which is an essential skill for Operations Research Analysts.
Risk Analyst
Risk Analysts use data to assess risk. They analyze data to identify threats and vulnerabilities and develop models to mitigate risk. This course provides a strong foundation in the methodologies used by Risk Analysts, including data collection, analysis, and modeling. Additionally, the course covers how to communicate findings to stakeholders, which is an essential skill for Risk Analysts.

Reading list

We've selected 11 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 منهجية علم البيانات.
This comprehensive textbook provides a deep dive into the mathematical foundations of statistical learning, offering a strong theoretical understanding of the field.
This textbook provides a comprehensive overview of causal inference, offering a deep understanding of the challenges and methods used in this field.
This widely-cited textbook provides a comprehensive overview of deep learning, offering a deep theoretical understanding of the field and its applications.
Provides a comprehensive overview of interpretable machine learning, offering practical techniques for understanding and explaining machine learning models.
This practical guide introduces the Python programming language and its libraries for data analysis, providing a valuable resource for working with data.
Introduces the fundamental concepts and techniques of data science, providing a clear understanding of the field and its applications in the business world.
Provides a comprehensive introduction to the R programming language and its ecosystem for data science, offering a valuable resource for working with data.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to منهجية علم البيانات.
MYSQL Workbench إنشاء و تصميم قواعد البيانات باستخدام
Most relevant
برنامج Power BI للمبتدئين: تصور البيانات
Most relevant
مهارات Excel للأعمال: المستوى "المتوسط I"
Most relevant
الأسس: البيانات، البيانات في كل مكان
Most relevant
مقدمة في علم الاقتصاد | Introduction to Economics
Most relevant
(Giving Helpful Feedback) إعطاء الملاحظات المفيدة
Most relevant
فن رواية قصة البيانات | The Art of Data Storytelling
Most relevant
القيادة المتناقضة كأسلوب تفكير
Most relevant
إنشاء حقيبة الهدايا لتسويق أعمالك باستخدام كانفا
Most relevant
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser