- الصفحة الرئيسية /
- الكتب /
- الكمبيوتر والتكنولوجيا /
- Databases & Big Data /
- Data Modeling & Design /
- Become a Python Data Analyst: Perform explora...
0 ratings
منتج #:
17978343
Become a Python Data Analyst: Perform exploratory data analysis and gain insight into scientific computing using Python
98% من المشترين سيوصون بهذا المنتج لصديق
منتج #:
17978343
DZD 5386
تفاصيل السعر
باستثناء رسوم الشحن والجمارك ( سيتم احتساب رسوم الشحن والجمارك عند إتمام الشراء )
*سيتم استيراد جميع العناصر من أمريكا
0 ratings
اكتب رأيك
متوفر فى المخزون
مستورد من متجر USA
كمية:
اطلب الآن واحصل عليه حول الخميس, أكتوبر 08
معاملة آمنة
تعمل يوباي جاهدة لحماية أمنك وخصوصيتك. يضمن نظام أمان الدفع المتقدم لدينا السرية من خلال تشفير معلوماتك أثناء النقل باستخدام بروتوكولات AES (معايير التشفير المتقدمة) وSSL (طبقة المنافذ الآمنة). تفاصيل الدفع الخاصة بك آمنة بنسبة %100 لأننا لا نشارك تفاصيل الدفع الخاصة بك مع بائعين تابعين لجهات خارجية
أفضل شركائنا اللوجستيين
Alvaro Fuentes is a data scientist with more than 10 years of experience in analytical roles.
شحن
سريع
استرجاع
مجاني*
تغليف آمن
منتجات أصلية %100
الامتثال لمعيار PCI DSS
حاصل على شهادة ISO 27001
Note: Step Down Voltage Transformer required for using electronics products of أمريكا store (110-120). Recommended power converters اشتري الآن.
أبرز ما يلفت الانتباه
Comprehensive Curriculum
Offers extensive coverage of exploratory data analysis using Python, ensuring a solid foundation in scientific computing and data manipulation, making it perfect for beginners and aspiring analysts.
Hands-On Projects
Includes practical projects that allow learners to apply their knowledge in real-world scenarios, enhancing problem-solving skills and reinforcing concepts for immediate application in professional settings.
Expert Guidance
Provides access to experienced instructors and industry experts, offering valuable insights and personalized feedback, ensuring learners advance effectively and confidently in their data analysis journey.
تفاصيل المنتج
| Publisher | Packt Publishing |
| Publication date | August 31, 2018 |
| Language | English |
| Print length | 178 pages |
| ISBN-10 | 1789531705 |
| ISBN-13 | 978-1789531701 |
| Item Weight | 12.3 ounces (348.71 grams) |
| Dimensions | 7.5 x 0.41 x 9.25 inches (19.1 x 1 x 23.5 cm) |
من يجب أن يشتري؟
-
Aspiring Analysts
Ideal for those looking to start a career in data analysis using Python for exploratory data work.
-
Students and Researchers
Beneficial for students or researchers aiming to leverage Python for scientific computing and data insights.
-
Career Switchers
Great for professionals transitioning from non-technical fields wanting to enhance their analytical skills using Python.
-
Advanced Analysts
Not suitable for experienced data analysts seeking advanced techniques beyond basic exploratory data analysis.
وصف المنتج
Become a Python Data Analyst: Perform exploratory data analysis and gain insight into scientific computing using Python
هل لديك أي استفسار؟ تحدث معنا
أسئلة العملاء & الإجابات
-
سؤال:
What skills will I gain from the 'Become a Python Data Analyst' course?
إجابه: By completing the 'Become a Python Data Analyst' course, you will acquire essential skills in Python programming, along with specific techniques for performing exploratory data analysis. This includes understanding libraries like Pandas and Matplotlib, effectively managing data, and deriving meaningful insights through visualizations. These skills are critical for real-world data analysis roles, allowing you to analyze datasets, generate reports, and assist in data-driven decision-making across various industries. -
سؤال:
Is prior programming experience required for this course?
إجابه: No prior programming experience is strictly necessary to enroll in this course, though familiarity with basic concepts can be beneficial. The course is structured to guide you from foundational Python knowledge to advanced data analysis techniques. Throughout the curriculum, you will engage in practice exercises and projects that enhance your understanding, making it accessible for beginners and helpful for those with some programming background looking to strengthen their skills. -
سؤال:
What tools and technologies will I learn to use?
إجابه: In the 'Become a Python Data Analyst' course, you will learn to use popular data analysis tools and libraries such as NumPy, Pandas, Matplotlib, and Seaborn. Additionally, you will gain insights into Jupyter Notebook for interactive coding and presentation of data findings. Familiarity with these tools is crucial as they are widely used in academia and industries including finance, healthcare, and technology, enhancing your employability as a data analyst. -
سؤال:
What type of projects can I expect to work on during the course?
إجابه: Throughout the course, you will engage in hands-on projects that simulate real-world data analysis scenarios. This may include analyzing sales data, conducting sentiment analysis from social media, or creating visualizations based on geographic data. These projects not only reinforce your learning but also build a portfolio that showcases your analytical skills to potential employers, helping you stand out in the job market. -
سؤال:
How is exploratory data analysis covered in the course?
إجابه: Exploratory Data Analysis (EDA) is a central theme throughout the 'Become a Python Data Analyst' course. You will learn techniques to summarize datasets, uncover patterns, and identify anomalies, which are vital for making informed decisions. The course emphasizes the importance of visualizing data, using graphs and plots to discern meaningful trends, thereby equipping you with the tools needed to make data-driven insights in any analytical role. -
سؤال:
Will I receive a certificate upon completion of the course?
إجابه: Yes, upon successful completion of the 'Become a Python Data Analyst' course, you will receive a certificate that can be shared on professional platforms like LinkedIn. This certification serves as a validation of your skills and knowledge attained during the course, helping you to showcase your expertise to potential employers and setting you apart in the competitive job market for data positions. -
سؤال:
Can this course help me transition to a career in data analysis?
إجابه: Absolutely! The 'Become a Python Data Analyst' course is designed to equip you with the necessary skills and knowledge to transition into a data analysis career. By the end of the course, you will have a thorough understanding of data analysis processes and techniques, as well as a portfolio of projects to demonstrate your capabilities to hiring managers. This blend of skills and practical experience can significantly enhance your employability in the data field. -
سؤال:
Are any prerequisites or recommended resources before starting the course?
إجابه: While there are no strict prerequisites for this course, it may be helpful to have a basic understanding of statistics and familiarity with programming concepts. Recommended resources include introductory Python tutorials and statistics overviews, which can provide a solid foundation. This preparedness will enable a smoother learning experience, helping you to absorb and apply data analysis concepts more effectively throughout the course. -
سؤال:
What are the main applications of skills learned in this course?
إجابه: The skills gained from the 'Become a Python Data Analyst' course have numerous applications across various sectors. You might find yourself working in roles such as data analyst, business intelligence analyst, or data scientist, where you will apply your skills to interpret complex datasets, generate insights, and influence decisions. Industries such as finance, marketing, healthcare, and technology often require these capabilities, providing ample job opportunities. -
سؤال:
Where can I buy the 'Become a Python Data Analyst' course?
إجابه: You can purchase the 'Become a Python Data Analyst' course on Ubuy, which offers a seamless shopping experience with various payment options. Ubuy is known for its extensive selection of digital learning resources, making it easy for you to find and access the course you need to kickstart your journey in data analysis, enhancing your skill set in today's data-driven world.
Data Modeling & Design Editorial Review
لم يتم العثور على مراجعات تحريرية
مراجعات العملاء وتقييماتهم
1 تقييمات العملاء
-
5 نجمة
0%
-
4 نجمة
100%
-
3 نجمة
0%
-
2 نجمة
0%
-
1 نجمة
0%
أضف تقييم لهذا المنتج
شارك أفكارك مع عملاء آخرين
منصة موثوقة وثقة كاملة للمشتري
JK
Jasmin
مشتري موثّق
“Great products and very good service: very easy and very fast international delivery.”
9 September 2026 · عبر Trustpilot
AG
Anke
مشتري موثّق
“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”
10 September 2026 · عبر Trustpilot
H
Hazel
مشتري موثّق
“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”
10 September 2026 · عبر Trustpilot
O
Opaleye
مشتري موثّق
“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”
11 September 2026 · عبر Trustpilot
AC
Adele
مشتري موثّق
“Easy to find and order what you want on the website. Delivery is quick to the UK”
8 September 2026 · عبر Trustpilot
الخروج الآمن
شحن عالمي
إسترجاع سهل
منتجات أصلية
تاريخ سعر المنتج
معلومات مهمة
- القيود: بالنسبة للمنتجات التي يتم شحنها دولياً، يُرجى ملاحظة أن أي ضمان من الشركة المصنعة قد لا يكون صالحاً؛ قد لا تتوفر خيارات خدمة الشركة المصنعة؛ قد لا تكون أدلة المنتج والتعليمات وتحذيرات السلامة مكتوبة بلغة بلد المقصد؛ قد لا يتم تصميم المنتجات (والمواد المصاحبة لها) وفقاً لمعايير بلد الوجهة والمواصفات ومتطلبات الملصقات؛ وقد لا تتوافق المنتجات مع الجهد الكهربي المستخدم في بلد الوجهة والمعايير الكهربائية الأخرى (تتطلب استخدام محوّل كهربي أو جهاز تحويل إذا كان ذلك مناسباً). المستلم مسؤول عن ضمان إمكانية استيراد المنتج بشكل قانوني إلى بلد الوجهة. عند الطلب من يوباي أو الشركات التابعة لها، يكون المستلم هو المستورد المسجل ويجب أن يلتزم بجميع القوانين واللوائح الخاصة ببلد الوجهة.
- ليست كل المنتجات المدرجة على يوباي معروضة للبيع، لأن يوباي هو محرك بحث عالمي. المنتجات تخضع للوائح التصدير / التجارة.
DZD 5386
اطلب الآن واحصل عليه حول الخميس, أكتوبر 08
هذا المنتج غير ممنوع في بلدي. (الرجاء الضغط على الرابط أعلاه إذا لم يكن هذا المنتج ممنوعاً في بلدك ، لذلك سيقوم فريقنا بمراجعته والسماح به.)
كمية:
معاملة آمنة
نوفر لك مدفوعات مشفّرة، وحماية متكاملة للمشتري، مع الالتزام بمعايير PCI DSS وشهادة ISO 27001:2022 لضمان أعلى مستويات الأمان في كل عملية شراء.
أفضل شركائنا اللوجستيين
أسرع توصيل عبر الحدود
المميزات والفوائد
- Alvaro Fuentes is an experienced data scientist
- M.S. in quantitative economics and applied mathematics
- Founder of Quant, providing consulting and training services in data science topics
- Consultant for projects in various fields such as business, education, psychology, and mass media
- Expertise in R programming, Spark, PostgreSQL, machine learning, and statistical analysis
- Experienced instructor in data science, mathematics, statistics, R programming, and Python
ضمان Ubuy
تسوّق بثقة مع منتجات أصلية %100، ومدفوعات آمنة متوافقة مع معيار PCI DSS، وحماية بيانات معتمدة وفق ISO 27001، وشحن دولي سريع، وإرجاع مجاني*، وتغليف آمن لكل طلب.