English  

كتاب Python For Data Analysis

حقوق النشر محفوظة

لا يمكن قراءة الكتاب أو تحميله حفاظاً على حقوق نشر المؤلف و دار النشر
غير متوفر رقمياً أو ورقياً من خلال مكتبة نور، متروك للتقييم والمراجعة

حقوق النشر محفوظة
Python for Data Analysis
Qr Code Python for Data Analysis

Python For Data Analysis

مؤلف:
قسم: لغة برمجة بايثون Python [تعديل]
اللغة: الإنجليزية
ترتيب الشهرة: 1,078,834 رقم 1 هو الأشهر !
رابط مختصر: نسخ
المزيد من الكتب مثل هذا الكتاب
مراجعات ( 0 )
اقتباسات ( 0 )
التحميل غير متوفر

Author, Researcher and Entrepreneur

الناشر والمؤلف كتاب Python for Data Analysis .
Mohammad Belal Ansari is an independent researcher, science writer, and entrepreneur with a strong interest in physics, cosmology, climate technology, and emerging scientific ideas. He holds a Master's degree in Physics and is passionate about making complex scientific concepts accessible to a wider audience.
His work explores some of the most profound questions in modern science, including the nature of time, relativity, quantum mechanics, black holes, consciousness, and the future of the universe. Through his writing, he aims to bridge the gap between advanced scientific research and curious readers seeking to understand the mysteries of reality.
In addition to his work as an author, Mohammad Belal Ansari is the founder of Ecoso Next Generation Pvt. Ltd., a climate-tech venture focused on innovative approaches to carbon capture and sustainable technologies.
He believes that science is not merely a collection of facts but a journey of discovery that expands our understanding of the universe and our place within it.
When he is not writing or researching, he explores new ideas at the intersection of physics, technology, environment, and innovation.

وصف الكتاب

Data is transforming the world, and the ability to analyze it has become one of the most valuable skills of the modern era.

Whether you are a student, researcher, business professional, or aspiring data analyst, Python for Data Analysis provides a practical and accessible path to mastering the tools and techniques used by data professionals worldwide.

Designed for beginners and intermediate learners, this comprehensive guide takes you from Python fundamentals to real-world data analysis projects. You will learn how to collect, clean, transform, visualize, and analyze data using industry-standard libraries and workflows.

Through clear explanations, practical examples, and hands-on projects, you will develop the skills needed to turn raw data into meaningful insights and build predictive models with confidence.

Inside this book, you will learn how to:

Work with Python for data analysis from the ground up

Use NumPy and Pandas to manipulate and analyze datasets efficiently

Clean and prepare real-world data for analysis

Create compelling visualizations with Matplotlib and Seaborn

Explore data using descriptive statistics and exploratory data analysis techniques

Query and analyze data stored in SQL databases

Retrieve and process information from APIs and web sources

Build, evaluate, and deploy machine learning models using Scikit-learn

Create end-to-end data analysis workflows and real-world projects

Apply industry best practices for reproducible and efficient analysis

No prior experience in programming or data analysis is required.

By the end of this book, you will have a strong foundation in Python, practical experience working with real datasets, and the confidence to solve data-driven problems across business, research, finance, healthcare, marketing, and many other fields.

If you are ready to transform raw data into actionable insights, this book will guide you every step of the way.

Turn data into insights. Build skills. Solve real-world problems.

حقوق النشر محفوظة

حقوق النشر محفوظة

لا يمكن قراءة الكتاب أو تحميله حفاظاً على حقوق نشر المؤلف و دار النشر
غير متوفر رقمياً أو ورقياً من خلال مكتبة نور، متروك للتقييم والمراجعة

مراجعات ( 0 )
اقتباسات ( 0 )
  أبحث عن كتاب آخر

مراجعة كتاب "Python for Data Analysis"

اقتباسات كتاب "Python for Data Analysis"

كتب أخرى مثل "Python for Data Analysis"

كتب أخرى لـ "Mohammad Belal Ansari"

إخفاء الملكية الفكرية محفوظة لمؤلف الكتاب المذكور
فى حالة وجود مشكلة بالكتاب الرجاء الإبلاغ من خلال أحد الروابط التالية:
بلّغ عن الكتاب أو من خلال التواصل معنا

الكتب الإلكترونية هي مكملة وداعمة للكتب الورقية ولا تلغيه أبداً بضغطة زر يصل الكتاب الإلكتروني لأي شخص بأي مكان بالعالم.
قد يضعف نظرك بسبب توهج الشاشة، أدعم ناشر الكتاب بشراءك لكتابه الورقي الأصلي إذا تمكنت من الوصول له والحصول عليه فلا تتردد بشراءه.
أنشر كتابك الآن مجانا