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88730029
Data Science with Python : The Ultimate Step-by-Step Guide for Beginners to Learn Python for Data Science Paperback
95% of respondents would recommend this to a friend
Item #:
88730029
SAR 143
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What Stands Out
Comprehensive Guide
Offers a step-by-step approach for beginners, making complex data science concepts accessible and easy to understand, ensuring a smooth learning curve for new learners.
Python Focused
Concentrates specifically on using Python for data science, equipping readers with practical skills applicable in real-world scenarios and enhancing their employability in the booming data field.
Beginner-Friendly
Tailored for novices, this book provides clear explanations and abundant examples, fostering a solid foundation in both Python programming and data science principles for a confidence boost.
Product Details
| Manual & guide type | Instruction Manual |
| Book format | Paperback |
| Skill level | Beginner |
| Pages | 176 |
| Language | English |
| Brand | Julian James McKinnon |
| Author | Julian James |
| Genre | Education |
| Bisac subject heading | Computers |
| Height | 1.5 in (3.8 cm) |
| Original languages | English |
| Item Weight | 1 lbs (450 grams) |
Who Should Buy?
-
Absolute Beginners
Those with no prior programming experience can easily follow along and grasp fundamental concepts of Python for data science.
-
Aspiring Data Scientists
Individuals seeking a solid foundation in Python programming to start a career in data science should find this guide beneficial.
-
Self-Learners
People who prefer to learn at their own pace will appreciate the step-by-step approach and structured content of the book.
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Experienced Programmers
Those already skilled in Python may find the content too basic and not challenging enough for their level.
Product Description
Data Science with Python : The Ultimate Step-by-Step Guide for Beginners to Learn Python for Data Science Paperback
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Features & Benefits
- Learn essential data analysis skills with our comprehensive guide.
- Master Python basics tailored specifically for data science.
- Explore a variety of Python libraries for effective data manipulation.
- Understand the data science lifecycle and its critical applications.
- Gain insights into probability, statistics, and data types.
- Achieve a competitive edge by leveraging data-driven decision-making.
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