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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

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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 (Paperback, Abhinaba Banerjee)

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 (Paperback, Abhinaba Banerjee)

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Author

Abhinaba Banerjee

Highlights

Binding: Paperback
Publisher: Orange Education Pvt Ltd
ISBN: 9788197081910
Edition: 1, 2024
Pages: 266

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Book Details

Publication Year	2024 April
Book Type	Non Fiction
Table of Contents	1. Introduction to Data Analysis and Data Visualization using Python 2. Data Acquisition 3. Data Cleaning and Preparation 4. Exploratory Data Analysis 5. Statistical Analysis 6. Time Series Analysis and Forecasting 7. Signal Processing 8. Analyzing Real-World Data Sets using Python APPENDIX A Python Cheat Sheet Index
Number of Pages	266

Contributors

Author Info

Abhinaba Banerjee has a background in Electronics and Communication Engineering, holding both Bachelor's and Master’s degrees. He also has an MSc in Big Data Analytics for Business from France. Currently, he works as a Data Analyst, primarily focusing on data analysis, preparing dashboards, and cleaning and preparing data from messy datasets. Additionally, he writes blogs on various sites such as Medium, Hashnode, and Showcase.

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