Practical data analysis using Jupyter Notebook learn how to speak the language of data by extracting useful and actionable insights using Python
"Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter Notebook Key Features Find out how to use Python code to extract insights from data using real-world examples Work with structured data and free text sources to answer questions and...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Birmingham ; Mumbai :
Packt Publishing
[2020]
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| Edición: | First edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631016006719 |
Tabla de Contenidos:
- Section 1: Data Analysis Essentials. Chapter 1: Fundamentals of Data Analysis ; Chapter 2: Overview of Python and Installing Jupyter Notebook ; Chapter 3: Getting Started with NumPy ; Chapter 4: Creating Your First pandas DataFrame ; Chapter 5: Gathering and Loading Data in Python
- Section 2: Solutions for Data Discovery. Chapter 6: Visualizing and Working with Time Series Data ; Chapter 7: Exploring, Cleaning, Refining, and Blending Datasets ; Chapter 8: Understanding Joins, Relationships, and Aggregates ; Chapter 9: Plotting, Visualization, and Storytelling
- Section 3: Working with Unstructured Big Data. Chapter 10: Exploring Text Data and Unstructured Data ; Chapter 11: Practical Sentiment Analysis ; Chapter 12: Bringing It All Together.
