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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 acquisition, visualization, and statistical analysis / Abhinaba Banerjee.
- Format:
- Book
- Author/Creator:
- Banerjee, Abhinaba, author.
- Language:
- English
- Subjects (All):
- Information visualization.
- Python (Computer program language).
- Quantitative research.
- Physical Description:
- 1 online resource (155 pages)
- Edition:
- First edition, English edition.
- Place of Publication:
- Delhi, India : Orange Education Pvt Ltd, [2024]
- Summary:
- Ultimate Data Analysis and Visualization with Python 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Description based on print version record.
- Includes bibliographical references and index.
- ISBN:
- 9788197081910
- 8197081913
- OCLC:
- 1429723224
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