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Item #:
133584698
PYTHON FOR DATA ANALYSIS: Master the Basics of Data Analysis in Python Using Numpy & Pandas: Answers all your Questions Step-by-Step (Programming for
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Item #:
133584698
AUD 22
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This learner-friendly, question and answer guide helps you step-by-step in your effort to learn the fastest growing programming language.
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What Stands Out
Step-by-Step Guidance
Offers a clear, structured approach to learning data analysis, making it accessible for beginners and ideal for those unfamiliar with coding.
Comprehensive Coverage
Covers essential libraries like Numpy and Pandas, providing learners the foundational skills necessary for effective data manipulation and analysis.
Friendly Format
Utilizes a Q&A style to address common queries, fostering a supportive learning environment that encourages user engagement and understanding.
Product Details
| Publisher | Independently published |
| Publication date | March 1, 2019 |
| Language | English |
| Print length | 60 pages |
| ISBN-10 | 1798484390 |
| ISBN-13 | 978-1798484395 |
| Item Weight | 5.9 ounces (167.27 grams) |
| Dimensions | 7 x 0.14 x 10 inches (17.8 x 0.4 x 25.4 cm) |
| Book 2 of 3 | Programming for Beginners: A Friendly Q & A Guide |
Who Should Buy?
-
Data Science Beginners
Ideal for those starting their journey in data analysis using Python, Numpy, and Pandas.
-
Self-Learners
Great for individuals who prefer learning at their own pace through a structured Q&A format.
-
Career Switchers
Helpful for professionals looking to transition into data analysis roles with essential Python skills.
-
Advanced Users
May not provide the depth needed for experienced analysts or data scientists already proficient in Python.
Product Description
PYTHON FOR DATA ANALYSIS: Master the Basics of Data Analysis in Python Using Numpy & Pandas: Answers all your Questions Step-by-Step (Programming for Beginners: A Friendly Q & A Guide)
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Pros
- Clear explanations and examples
- Step-by-step guidance
- Covers Numpy and Pandas well
- Great for beginners
- Practical exercises included
Cons
- Some tips could be more concise.
Product Price History
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Features & Benefits
- Designed for beginners with no prior programming experience.
- Utilizes the Q&A method for easier understanding and retention.
- Covers essential Python libraries: Numpy and Pandas.
- Offers practical skills for working with data analysis concepts.
- Includes real examples to facilitate comprehension of complex topics.
- A valuable resource for students and interview preparation.
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