بايثون لعلوم البيانات والذكاء الصناعي from Coursera

ابدأ تعلم لغة بايثون لعلوم البيانات، بالإضافة إلى البرمجة بوجه عام مع هذه المقدمة البسيطة للمبتدئين في تعلم لغة بايثون. تعتبر بايثون واحدة من أشهر لغات البرمجة في العالم، وهي تشهد إقبالاً غير مسبوق عليها من جانب المحترفين، حيث تمنحهم القدرة على تطبيق المبادئ الأساسية للغة بايثون لتطوير حلول الأعمال في مختلف الصناعات. ستنقلك هذه الدورة من مستوى المبتدئين إلى البرمجة في بايثون خلال ساعات، وليس من الضروري أن تكون لديك خبرات سابقة في البرمجة! ستتعلم المبادئ الأساسية للغة بايثون، بما في ذلك هياكل البيانات وتحليل البيانات، وتستكمل التدريبات التطبيقية في وحدات الدورة، وتمتلك القدرة على إنشاء مشروع نهائي يبرز مهاراتك الجديدة. مع نهاية هذه الدورة، ستجد سهولة في إنشاء البرامج الأساسية، والعمل باستخدام البيانات، إلى جانب حل المشكلات الواقعية في بايثون. وستكتسب قاعدة معرفية قوية تؤهلك لمستويات تعلم أعلى في هذا المجال، وتُطور مهاراتك لمساعدتك في الارتقاء بحياتك المهنية. يمكن تطبيق هذه الدورة على العديد من البرامج المتخصصة أو برامج الشهادات المهنية. إن استكمال هذه الدورة سيعزز معلوماتك في أيٍ من البرامج التالية: الشهادة المتخصصة في الذكاء الصناعي التطبيقي من IBM التخصص في علوم البيانات التطبيقية الشهادة المتخصصة في علوم البيانات من IBM فور استكمال أيٍ من البرامج السابقة، إلى جانب الحصول على شهادة الإنجاز في التخصص من كورسيرا، ستتلقى أيضًا شارة رقمية من IBM تقديرًا لخبراتك في المجال.

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Perfect for total beginners who want to learn Python from scratch

Provides a solid foundation in Python for data science and general programming

Offers hands-on exercises and a final project to apply your skills

Taught by experienced instructors who are recognized in the field

Coursework can be applied towards IBM's specialized programs and certifications

May require additional time and effort for learners with no prior programming experience

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Learners who complete بايثون لعلوم البيانات والذكاء الصناعي will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists study data to extract meaningful insights and patterns. They combine programming skills with a deep understanding of statistics and machine learning. This course introduces learners to Python, which is widely used for data analysis and manipulation. Data Scientists who are proficient in Python can leverage it for data cleaning, data exploration, model development, and data visualization. Taking this course can equip learners with foundational knowledge and skills in Python, a valuable tool for success as a Data Scientist.

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Data Analyst

Data Analysts gather, clean, and analyze data to identify trends and provide insights for businesses. Proficiency in Python is highly sought after for Data Analysts as it allows them to efficiently manage and manipulate large datasets, perform data analysis, and present findings effectively. This course lays a solid foundation in Python, empowering learners to perform data exploration, data visualization, and statistical analysis, essential skills for success as a Data Analyst.

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Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models to solve complex problems. Python is a key programming language in machine learning, used for data preprocessing, model training, and model evaluation. This course provides a stepping stone for learners who aspire to become Machine Learning Engineers, by introducing them to the basics of Python and its applications in machine learning, such as data wrangling, feature engineering, and model building.

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Artificial Intelligence Engineer

Artificial Intelligence Engineers develop and implement AI systems for various applications. They leverage programming languages like Python to build machine learning models, design AI architectures, and integrate AI solutions into existing systems. This course offers a comprehensive introduction to Python, a critical skill for AI Engineers, enabling them to enhance their ability to handle complex data structures, implement algorithms, and construct AI models.

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Software Engineer

Software Engineers design, develop, and maintain software applications. Python is widely adopted in software development for its versatility and ease of readability. This course introduces the fundamentals of Python programming, providing Software Engineers with a solid foundation for building robust and efficient software solutions.

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Business Analyst

Business Analysts bridge the gap between business stakeholders and technical teams to help businesses make informed decisions. Python is gaining traction among Business Analysts for its data analysis and visualization capabilities. This course offers an introduction to Python, enabling Business Analysts to leverage its strengths for data analysis, process improvement, and stakeholder communication, enhancing their effectiveness in driving business value.

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Data Engineer

Data Engineers design and manage data pipelines and infrastructure to support data analytics and machine learning applications. Python is widely used in data engineering for its data manipulation and processing capabilities. This course provides a foundation in Python, equipping Data Engineers with the skills to automate data ingestion, transformation, and storage, enabling them to efficiently build and maintain scalable data pipelines.

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Financial Analyst

Financial Analysts use data to assess financial performance and make investment recommendations. Python is gaining popularity in finance for its data analysis and visualization capabilities. This course introduces the basics of Python, enabling Financial Analysts to enhance their data analysis skills, perform financial modeling, and develop automated trading strategies.

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Biostatistician

Biostatisticians apply statistical methods to analyze biological and medical data to draw meaningful conclusions. Python is increasingly used in biostatistics for its data analysis capabilities and its extensive libraries for scientific computing. This course introduces the fundamentals of Python, providing Biostatisticians with the necessary skills to perform data analysis, statistical modeling, and visualization of complex biological datasets.

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Epidemiologist

Epidemiologists investigate the causes and patterns of disease outbreaks. Python is becoming a valuable tool for Epidemiologists, enabling them to analyze large datasets, create visualizations, and develop predictive models. This course offers an introduction to Python, empowering Epidemiologists to enhance their data analysis skills and contribute to the prevention and control of diseases.

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Statistician

Statisticians collect, analyze, and interpret data to provide insights for various fields. Python is widely adopted in statistics for its data manipulation and visualization capabilities. This course introduces the basics of Python, equipping Statisticians with the skills to perform data analysis, statistical modeling, and data visualization, enhancing their ability to draw meaningful conclusions from complex datasets.

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Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to solve complex problems in business and industry. Python is gaining traction among Operations Research Analysts for its optimization and simulation capabilities. This course offers an introduction to Python, providing Analysts with the skills to build models, analyze data, and develop optimization strategies.

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Market Research Analyst

Market Research Analysts conduct research to understand market trends, customer behavior, and industry dynamics. Python is becoming a valuable tool for Market Research Analysts, enabling them to analyze large datasets, create visualizations, and develop predictive models. This course offers an introduction to Python, empowering Analysts to enhance their data analysis skills and make informed decisions about market opportunities.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. Python is widely adopted in quantitative finance for its data analysis and modeling capabilities. This course introduces the basics of Python, providing Quantitative Analysts with the skills to perform data analysis, develop trading strategies, and manage risk.

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Cybersecurity Analyst

Cybersecurity Analysts protect computer systems and networks from cyber threats. Python is gaining popularity in cybersecurity for its automation and scripting capabilities. This course introduces the basics of Python, enabling Cybersecurity Analysts to automate security tasks, analyze security data, and develop security tools, enhancing their ability to protect organizations from cyberattacks.

See salaries and explore the career path for Cybersecurity Analyst

بايثون لعلوم البيانات والذكاء الصناعي

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