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Item #:
109715143
Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data ...
87% of respondents would recommend this to a friend
Item #:
109715143
€ 48
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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
Comprehensive Coverage
In-depth exploration of essential Python libraries like Pandas, NumPy, and Matplotlib for data analysis, offering readers a complete toolkit for effective data manipulation and visualization.
User-Friendly Approach
Integrates no-code tools alongside coding libraries, making data analysis accessible to all skill levels, ensuring that both beginners and experts can find value and utility in the content.
Practical Applications
Emphasizes real-world applications and examples of data visualization, providing readers with hands-on experience that enhances learning and applies theoretical concepts effectively.
Product Details
- Test your Data Analysis skills to its fullest using Python and other no-code toolsBook DescriptionUltimate Python Libraries for Data Analysis and Visualization is your comprehensive guide to mastering the intricacies of data analysis and visualization using Python. This book serves as your roadmap to unlocking the full potential of Python for extracting insights from data using Pandas, NumPy, Matplotlib, Seaborn, and Julius AI. Starting with the fundamentals of data acquisition, you'll learn essential techniques for gathering and preparing data for analysis. From there, you’ll dive into exploratory data analysis, uncovering patterns and relationships hidden within your datasets.Through step-by-step tutorials, you'll gain proficiency in statistical analysis, time series forecasting, and signal processing, equipping you with the tools to extract actionable insights from any dataset. What sets this book apart is its emphasis on real-world applications. With a series of hands-on projects, you’ll apply your newfound skills to analyze diverse datasets spanning industries such as finance, healthcare, e-commerce, and more.By the end of the book, you'll have the confidence and expertise to tackle any data analysis challenge with Python. To aid your journey, the book includes a handy Python cheat sheet in the appendix, serving as a quick reference guide for common functions and syntax.Table of Contents1. Introduction to Data Analysis and Data Visualization using Python2. Data Acquisition3. Data Cleaning and Preparation4. Exploratory Data Analysis5. Statistical Analysis6. Time Series Analysis and Forecasting7. Signal Processing8. Analyzing Real-World Data Sets using PythonAPPENDIX A Python Cheat SheetIndex
| 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) — Expert Micro Path |
Who Should Buy?
-
Data Analysts
Ideal for data analysts needing comprehensive tools for manipulating datasets and generating insightful visualizations.
-
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.
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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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