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Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data ...
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Unlock the full potential of Python for extracting insights from data using Pandas, NumPy, Matplotlib, Seaborn, and Julius AI.
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What Stands Out
Product Details
| Publisher | Orange Education Pvt Ltd |
| Publication date | 4 April 2024 |
| Language | English |
| Print length | 267 pages |
| ISBN-10 | 8197081913 |
| ISBN-13 | 978-8197081910 |
| Item weight | 463 g |
| Dimensions | 19.05 x 1.55 x 23.5 cm |
| Book 2 of 2 | Data Analyst (Python) u2014 Expert Micro Path |
Who Should Buy?
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Data Analysts
Ideal for data analysts needing comprehensive tools for manipulating datasets and generating insightful visualizations.
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Data Science Students
Perfect for students learning data science who want practical guidance on applying popular Python libraries.
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No-Code Enthusiasts
Great for users interested in data analysis without coding experience, offering no-code tools and clear instructions.
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Absolute Beginners
Not suitable for complete beginners to programming who lack foundational knowledge of Python and libraries.
Product Description
Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data ... Data Analyst Python — Expert Micro Path Paperback – 4 April 2024
Customer Questions & Answers
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Question:
What programming language does this book focus on?
Answer: The book primarily focuses on Python for data analysis and visualization. -
Question:
Does this book include practical examples?
Answer: Yes, it includes hands-on projects and real-world datasets for practical application. -
Question:
Is there a reference guide included?
Answer: Yes, a Python cheat sheet is included in the appendix for quick reference.
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Features & Benefits
- Master data analysis and visualization with Python.
- Comprehensive guide covering popular libraries like Pandas and NumPy.
- Step-by-step tutorials for statistical analysis and time series forecasting.
- Hands-on projects for analyzing real-world datasets across various industries.
- Includes a Python cheat sheet for quick reference.
- Gain confidence to tackle any data analysis challenge.
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