تحليل البيانات ب R: التنبؤ بتحليل الانحدار from Coursera

خلال هل مشروع راح تكون قادر تعمل predictive data analysis with regression يعني إستخدام البيانات للتحليل والتنبؤ من خلال طريقة الانحدار الخطّي ب-R Programming language.

بأستعمال و تعلّم كيف تنفّذ هيك مشروع بR رح تكون عم تستعمل أهم programing language لتحليل البيانات، و عم تبني model تعتبر الحجر الأساس بال machine learning و تستخدم طريقة الـ predictive regression المستعملة بأغلب مجالات الاقتصاد. هيدا المشروع مخصص للprogramers و الdata analysts الي عندها خبرة متواضعة بR و بال Machine Learning و عبالها تتعمّق أكثر و تكتشف كيف بينعمل التحليل التنبؤي بالانحدار.

بإنجاز هذا المشروع رح تكون عم تسلّح حالك ب tools مطلوبة جدّا بعالم الـ Data Analytics و عم تتعلّم كيف تتوقع المستقبل و تتنبأ بأرقام ما حدا بيعرفها بعد. رح نمشي خطوة خطوة حتى نفهم شو يعني Regression ايمتى منستعملها وكيف وشو الرياضيات اللي بيستخدموا هل نوع من التحليل.

رح نستعمل R لنكتشف و نحلل بيانات رقمية (EDA أو Exploratory Data Analysis) وتكتشف العلاقة بين مختلف المجلات بقلب قاعدة البيانات (Dataset) إلي عنا وشو الدور الذي تلعبه هيدي المجالات بالنتيجة الي بدنا نتوقعها (Predictable Value) و بالأخير رح نقدر نستعمل R لحتى نمرن الmodel و نقيمها (Validation) و أكيد نستخدم هيدي ال model لنعمل التوقعات تعولنا (Predict).

What's inside

Syllabus

ملخص المشروع

خلال هذا المشروع هتكون قادر تعمل predictive data analysis with regression يعني إستخدام البيانات للتحليل والتنبؤ من خلال طريقة الانحدار الخطّي بلغة البرمجة R .بأستعمال و تعلّم كيف تنفّذ هذا المشروع بR هتكون بتستعمل أهم لغة برمجة لتحليل البيانات، و عم تبني model تعتبر الحجر الأساس بال machine learning و تستخدم طريقة الـ predictive regression المستعملة بأغلب مجالات الاقتصاد. هذا المشروع مخصص للمبرمجين ومحللي البيانات الي عندهم خبرة متواضعة بR و بال Machine Learning وعلى بالها تتعمّق أكثر و تكتشف كيف بينعمل التحليل التنبؤي بالانحدار.بإنجاز هذا المشروع رح تكون عم تسلّح حالك ب tools مطلوبة جدّا بعالم الـ Data Analytics و عم تتعلّم كيف تتوقع المستقبل و تتنبأ بأرقام ما حدا بيعرفها بعد. رح نمشي خطوة خطوة حتى نفهم شو يعني Regression امتى نستعملها وكيف وشو الرياضيات اللي بيستخدموا هل نوع من التحليل.رح نستعمل R لنكتشف و نحلل بيانات رقمية (EDA أو Exploratory Data Analysis) وتكتشف العلاقة بين مختلف المجلات بقلب قاعدة البيانات (Dataset) إلي عندنا وشو الدور الذي تلعبه هيدي المجالات بالنتيجة الي بدنا نتوقعها (Predictable Value) و بالأخير رح نقدر نستعمل R لحتى نمرن الmodel و نقيمها (Validation) و أكيد نستخدم هيدي ال model لنعمل التوقعات تعولنا (Predict).

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops skills in analyzing data and using statistical methods that are highly relevant to industry

Employs R, which is a preferred language for data analysis and machine learning

Provides hands-on practice with data exploration and analysis, enhancing practical skills

Assumes basic knowledge of R and machine learning, making it suitable for learners with some prior experience

Covers predictive regression, a fundamental technique widely used in economics and machine learning

Builds a strong foundation in linear regression, which is a cornerstone of predictive analytics

Career center

Learners who complete تحليل البيانات ب R: التنبؤ بتحليل الانحدار will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers design and build systems that can learn from data and make predictions. R is a popular language for Machine Learning, and completing this course will help you master the skills needed to succeed in this field. You will gain experience with data exploration, model building, and model evaluation, which are all key skills for a Machine Learning Engineer.

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Data Analyst

Data Analysts use their programming skills to uncover patterns and trends that support business decisions and product development. Completing this course on R Programming would help contribute toward building a foundation for a career as a Data Analyst. It will help you gain the skills needed to collect, clean, analyze, and interpret data, which are essential tasks in the Data Analyst role.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. R is a popular language for Quantitative Analysis, and this course will equip you with the skills needed to succeed in this field. You will gain experience with data analysis, model building, and risk assessment, which are all essential skills for Quantitative Analysts.

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Data Scientist

Data Scientists use their knowledge of statistics, programming, and machine learning to extract insights from data. R is a widely-used language in Data Science, and this course will provide you with the skills needed to succeed in this field. You will gain experience with data exploration, data visualization, and model building, which are all essential skills for Data Scientists.

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Software Engineer

Software Engineers design, build, and maintain software systems. R is a popular language for data science and machine learning, and completing this course will help you master the skills needed to succeed in this field. You will gain experience with data analysis, model building, and software development, which are all essential skills for Software Engineers.

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Financial Analyst

Financial Analysts use data and analytics to make investment decisions. R is a powerful tool for financial analysis, and this course will equip you with the skills needed to succeed in this field. You will gain experience with data exploration, data visualization, and model building, which are all essential skills for Financial Analysts.

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Risk Analyst

Risk Analysts use data and analytics to identify and assess risks. R is a powerful tool for risk analysis, and this course will equip you with the skills needed to succeed in this field. You will gain experience with data exploration, data visualization, and model building, which are all essential skills for Risk Analysts.

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Data Visualization Specialist

Data Visualization Specialists use data and analytics to create visual representations of data. R is a powerful tool for data visualization, and completing this course will help you master the skills needed to succeed in this field. You will gain experience with data exploration, data visualization, and graphic design, which are all essential skills for Data Visualization Specialists.

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Economist

Economists use data and analytics to understand economic trends and make policy decisions. R is a popular language for economics, and completing this course will help you master the skills needed to succeed in this field. You will gain experience with data analysis, econometric modeling, and forecasting, which are all essential skills for Economists.

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Market Researcher

Market Researchers use data and analytics to understand consumer behavior and make marketing decisions. R is a popular tool for market research, and this course will equip you with the skills needed to succeed in this field. You will gain experience with data exploration, data visualization, and model building, which are all essential skills for Market Researchers.

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Health Data Analyst

Health Data Analysts use data and analytics to improve patient care and population health. R is a popular language for health data analysis, and completing this course will help you master the skills needed to succeed in this field. You will gain experience with data exploration, data visualization, and statistical modeling, which are all essential skills for Health Data Analysts.

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Big Data Engineer

Big Data Engineers design and build systems that can store and process large amounts of data. R is a popular language for big data analysis, and completing this course will help you master the skills needed to succeed in this field. You will gain experience with data engineering, data analysis, and distributed computing, which are all essential skills for Big Data Engineers.

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Business Analyst

Business Analysts use data and analytics to identify business problems and develop solutions. R is a powerful tool for business analysis, and this course will equip you with the skills needed to succeed in this field. You will gain experience with data exploration, data visualization, and model building, which are all essential skills for Business Analysts.

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Operations Research Analyst

Operations Research Analysts use mathematical and statistical models to improve business operations. R is a popular tool for operations research, and this course will equip you with the skills needed to succeed in this field. You will gain experience with data analysis, model building, and optimization, which are all essential skills for Operations Research Analysts.

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Statistician

Statisticians use data and analytics to make informed decisions. R is a popular language for statistics, and completing this course will help you master the skills needed to succeed in this field. You will gain experience with data exploration, data visualization, and statistical modeling, which are all essential skills for Statisticians.

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