June 2020
Intermediate to advanced
322 pages
7h 25m
English
Overview
Practical Data Analysis Using Jupyter Notebook is your guide to mastering data analysis using Python and Jupyter Notebook. This comprehensive book takes you through the essential steps to clean, transform, visualize, and extract insights from real-world data with practical examples and easy-to-follow explanations. By the end, you'll communicate effectively with data.
What this Book will help me do
- Master the process of cleaning, transforming, and analyzing data with Python.
- Efficiently use essential libraries like pandas, NumPy, Matplotlib, and NLTK.
- Visualize data using charts and time-series analysis for insightful storytelling.
- Explore unstructured data and apply sentiment analysis using NLP techniques.
- Confidently analyze and interpret real-world datasets for actionable insights.
Author(s)
Marc Wintjen is a seasoned data analyst and educator with expertise in Python, SQL, and data visualization. He has years of industry experience helping teams derive meaningful insights from complex datasets. Passionate about teaching, Marc creates accessible learning resources and practical examples to guide learners at any level.
Who is it for?
This book is ideal for aspiring data analysts and scientists keen to master Python and Jupyter Notebook for effective data analysis. It's perfect for individuals wanting to advance their analytical skills and make data-driven decisions, with no prior programming or analysis experience required.
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