Jupyter Notebook for Data Science

In this 3-hour course, you will become familiar with Jupyter Notebook and learn how to perform various data science tasks in Python. This course covers interactive data exploration, visualization, and working with popular scientific Python tools such as Pandas, Matplotlib, and Plotly, using real-world datasets.

• Learn how to efficiently use Jupyter Notebook for data manipulation and visualization.
• Perform interactive data analysis and visualization using real data in Jupyter Notebook.
• Analyze time series data using Pandas.
• Create interactive widgets to allow non-technical users to explore data.
• Analyze and visualize geographic datasets to create stunning information-rich maps.

Dražen Lučanin is a developer, data analyst, and founder of Punk Rock Dev. With over 15 years of experience, he has worked in data analysis, web development, and machine learning, including a PhD in computer science. He has taught courses and developed interactive tools for data analysis using Python and Jupyter Notebook.

This course is for developers with basic Python and Jupyter Notebook knowledge. A basic understanding of math and statistics will be helpful for getting the most out of this course.