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Data Analytics and Python Programming. Beginners Guide to Learn Data Analytics, Predictive Analytics and Data Science with Python Programming
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Detalji o proizvodu
| Publisher | CreateSpace Independent Publishing Platform |
| Publication date | December 28, 2016 |
| Language | English |
| Print length | 264 pages |
| ISBN-10 | 1541334574 |
| ISBN-13 | 978-1541334571 |
| Item Weight | 12.6 ounces (357.21 grams) |
| Dimensions | 6 x 0.6 x 9 inches (15.2 x 1.5 x 22.9 cm) |
OPIS PROIZVODA
Data Analytics and Python Programming. Beginners Guide to Learn Data Analytics, Predictive Analytics and Data Science with Python Programming (Hacking Freedom and Data Driven)
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Data Mining Editorial Review
**** The two-book Data Science/Python bundle by Mr. Cody presents itself as an introduction into the world of data science and analytics, particularly aimed at those with a background in computing. Readers appreciate the clarity and readability of the text, pointing out that it effectively distills complex concepts into understandable segments. However, this accessible nature comes with a caveat; while the material serves as an effective primer or “appetizer” for those already somewhat tech-savvy, it may leave complete beginners feeling overwhelmed and confused due to its abstract explanations and literal coding logic. A significant portion of the bundle focuses on rudimentary concepts and does not delve into advanced topics, making it unsuitable for readers who are already familiar with the basics of Python. Many reviewers noted that while the introductory content can spark an interest in the field of data analytics, it lacks the depth and actionable insights needed for practical application, falling short of equipping readers with the necessary tools to work independently in a real-world setting. Despite these criticisms, readers who are patient and take time to engage with the material may find value. Completing the bundle reportedly leads to a sense of accomplishment and readiness to tackle more substantial and complex topics in data science. Overall, this product serves well for those looking to gain a foundational understanding but may not sufficiently satisfy experienced programmers or individuals seeking more in-depth guidance. **
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Pros
- Easy to read and understand, making complex concepts more digestible.
- Ideal starter material for individuals already familiar with basic computing.
- Provides clear strategies and insights into the field of data analytics.
Protiv
- May confuse complete beginners due to abstract explanations of coding logic.
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Značajke i prednosti
- Two comprehensive books focused on Data Analytics and Python Programming.
- Master practical data analysis and predictive analytics for your business success.
- Learn Python programming from zero to hero with step-by-step guidance.
- Includes essential tools for data visualization and effective data management.
- Gain insights into the job market and the advantages of mastering Python.
- Perfect for beginners looking to enhance their data-driven skills.
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