Wintjen Practical Data Analysis Using Jupyter Notebook

Learn how to speak the language of data by extracting useful and actionable insights using Python
1. Auflage 2020
ISBN: 978-1-83882-509-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 322 Seiten

No detailed description available for "Practical Data Analysis Using Jupyter Notebook".

Autoren/Hrsg.

Wintjen, Marc

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen

Inhaltsverzeichnis

Table of Contents - Fundamentals of data analysis
- Overview of Python and Installation of Jupyter notebook

- Getting Started with NumPy
- Creating your first Pandas DataFrame
- Gathering and Loading Data in Python
- Visualizing and working with time series data
- Exploring Cleaning, Refining and Blending Datasets
- Understanding Joins, Relationships and Data Aggregates
- Plotting, Visualization and Storytelling
- Exploring Text Data and Unstructured Data
- Practical Sentiment Analysis
- Discovering Patterns in Data and providing insights

Über Autor(innen)

Wintjen Marc:

Marc Wintjen is a Risk Analytics Architect at Bloomberg LP with over 20 years of professional experience. An evangelist for data literacy, hes known as the Data Mensch by helping others make data driven decisions. His passion for all things data has evolved from SQL and Data Warehousing to Big Data Analytics and Data Visualizations.