Practical Data Analysis Using Jupyter Notebook

Table of Contents

1. Fundamentals of data analysis
2. Overview of Python and Installation of Jupyter notebook
3. Getting Started with NumPy
4. Creating your first Pandas DataFrame
5. Gathering and Loading Data in Python
6. Visualizing and working with time series data
7. Exploring Cleaning, Refining and Blending Datasets
8. Understanding Joins, Relationships and Data Aggregates
9. Plotting, Visualization and Storytelling
10. Exploring Text Data and Unstructured Data
11. Practical Sentiment Analysis
12. Discovering Patterns in Data and providing insights