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142550959
Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas NumPy Matplotlib Seaborn Julius AI and No-Code Tools for Data ...
90% of respondents would recommend this to a friend
Item #:
142550959
MGA 270770
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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
This book offers an exhaustive exploration of essential Python libraries, ensuring users gain proficiency in data analysis, visualization, and statistical methodologies across various use cases.
No-Code Tools
Integrate no-code tools alongside traditional programming, making data manipulation accessible for non-technical users while enhancing productivity for experienced analysts and data scientists.
Real-World Applications
Focuses on practical, real-world examples and scenarios, guiding users through hands-on projects that cement theoretical concepts and foster applicable skills in data analysis.
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 |
| 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
This product assists data analysts in efficiently processing and visualizing data using popular Python libraries.
-
Beginner Programmers
Individuals new to programming can learn data analysis with Python through practical examples and no-code tools.
-
Statistical Researchers
Researchers requiring advanced statistical analysis can leverage comprehensive tools and libraries to analyze their data effectively.
-
Advanced Users
Experienced users may find the content basic and uninformative for advanced data analysis techniques they require.
Product Description
Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas NumPy Matplotlib Seaborn Julius AI and No-Code Tools for Data ... Analyst (Python) — Expert Micro Path Band 2)
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English edition Abhinaba Banerjee Editorial Review
Ultimate Python Libraries For Data Analysis And Visualization: Leverage Pandas NumPy Matplotlib Seaborn Julius AI And No-Code Tools For Data ... Analyst (Python) — Expert Micro Path Band 2) offers a comprehensive guide for aspiring data analysts. Published by Orange Education Pvt Ltd on 4 April 2024, this 267-page resource dives into essential Python libraries like Pandas, NumPy, and Matplotlib, making data manipulation and visualization accessible to both beginners and experts. Readers have praised its clear explanations and practical examples, which can significantly enhance data analysis skills. This book is ideal for those seeking to broaden their knowledge in data science without deep coding expertise, integrating no-code tools alongside traditional coding methods.
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Pros
- Comprehensive guide to key Python libraries
- Practical examples for easy understanding
- Suitable for both beginners and experts
- Includes no-code tools for broader access
- Well-structured for progressive learning
Cons
- Focused primarily on Python libraries for analysis
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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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