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Item #:
160179745
Python Data Analytics Python Data Analytics: The Beginner's Real World Crash Course, Book 1, (Paperback)
Item #:
160179745
LSL 837
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The best guide for beginners to get started with data analytics using Python!
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What Stands Out
Beginner-Friendly
Designed for novices, this course simplifies complex concepts, ensuring even those with no prior programming experience can confidently grasp Python data analytics and apply it practically.
Real-World Applications
Focuses on practical scenarios, teaching readers how to solve real data analysis problems, which bridges the gap between theoretical knowledge and actual industry usage.
Comprehensive Coverage
Offers an extensive overview of Python libraries and tools, equipping students with a well-rounded skill set that is essential for entering the field of data analytics effectively.
Product Details
- The best guide for beginners to get started with data analytics using Python!A step by step guide to data analytics and its applications using easy to understand and practical examples.Inside you will learn: Vecotrized computationNumPysAn introduction to PandasPredictive modellingData visualization techniquesand so much more!Whatever the type of data you're dealing with, you will learn the A-Z of managing and visualizing it with this book. Grab your copy today!BONUS: Get the e-book absolutely free when you purchase the paperback with Kindle matchbook!
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | June, 2019 |
| Pages | 206 |
| Subgenre | Data Science |
| Series title | Python Data Analytics |
| Number in series | 1 |
| Edition | 1 |
| Publisher | Independently Published |
| Original languages | English |
| Language | English |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 5.98 x 0.44 x 9.02 in (15.2 x 1.1 x 22.9 cm) |
| Assembled product weight | 0.62 lb (280 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Aspiring Data Analysts
Ideal for individuals wanting to start a career in data analytics and require foundational skills in Python.
-
Students in STEM
Great for students studying science, technology, engineering, or mathematics who need practical data analysis skills.
-
Self-Learners
Perfect for those who prefer self-study with structured, real-world examples to enhance learning in data analytics.
-
Advanced Users
Not suitable for users who already have proficient experience in Python or data analytics concepts.
Product Description
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Customer Questions & Answers
-
Question:
Is this book suitable for complete beginners?
Answer: Yes, it's designed specifically for beginners in data analytics. -
Question:
Will I get access to an e-book with my purchase?
Answer: Yes, you get the e-book free with the purchase of the paperback through Kindle matchbook. -
Question:
What topics will I learn from this book?
Answer: You will learn about vectorized computation, NumPy, Pandas, predictive modelling, and data visualization.
Travis Booth All Books Editorial Review
Python Data Analytics: The Beginner's Real World Crash Course, Book 1, offers an engaging introduction to the crucial field of data science, making it ideal for newcomers looking to grasp Python's capabilities in data analysis. This non-fiction paperback, published in June 2019, encompasses 206 pages of valuable insights, delivered in a straightforward language that makes learning accessible. Readers can expect to delve into computing concepts that are applicable in real-world scenarios. With its collected expertise and focus on practical applications, this book is designed for anyone eager to enhance their data skills and embark on a journey into analytics.
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Pros
- Comprehensive guide for beginners in data analysis
- Clear and concise explanations of Python concepts
- Real-world applications emphasized for practical learning
- Available in a convenient paperback format
- Engaging writing style enhances reader comprehension
Cons
- Might not cover advanced topics for experienced readers
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LSL 837
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Features & Benefits
- Step-by-step guide for beginners in data analytics.
- Easy to understand with practical examples.
- Covers vectorized computation and NumPy.
- Introduces Pandas for data manipulation.
- Teaches predictive modelling and data visualization techniques.
- Free e-book with the purchase of the paperback.
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