Jupyter Notebook for Data Science from Udemy

Overview

This engaging video course aims to guide you through Jupyter Notebook and its features, helping you master various data science tasks in Python. Jupyter Notebook, a popular tool among data scientists, is perfect for interactive data exploration and visualization. The course covers everything from basic data analysis tasks to more advanced techniques using scientific Python tools such as pandas, matplotlib, and plotly. You’ll work with real-life datasets, like crime and traffic accidents in New York City, gaining hands-on experience in data scraping, cleaning, and creating impressive visualizations with time-stamped and spatial data.

By the end of the course, you’ll be equipped with the skills needed to tackle a new dataset, clean it up, and analyze it using Jupyter Notebook to create interactive reports and information-dense data visualizations. Although based on Jupyter 5.4.1, the content remains relevant for data science enthusiasts. The course was developed by Dražen Lucanin, a developer, data analyst, and founder of Punk Rock Dev—an indie web development studio. With a background in computer science, Dražen has been working professionally in Python, JavaScript, and other technologies since 2009, conducting research in energy efficiency and machine learning methods, supported by tools like Python, Jupyter Notebook, Matplotlib, and Pandas.

Current Coupon

Udemy usually has a very limited availability of discount codes, by clicking the check and activate coupon button below we’ll try to automatically find and apply a coupon for you (if any are available).

Check & Activate Coupon

Skills you’ll learn

1. Master the basics of Jupyter Notebook and its features
2. Conduct data analysis using Python tools such as pandas, matplotlib, and plotly
3. Work with real-world datasets and learn data scraping and cleaning techniques
4. Develop interactive data visualizations for time-stamped and spatial data
5. Approach new datasets with confidence and insight-driven exploration
6. Create in-depth data-driven reports in Jupyter Notebook
7. Gain practical experience in handling real-life data science scenarios
8. Stay current with useful skills for data science enthusiasts, despite using an earlier version of Jupyter Notebook

Summary

Dive into the exciting world of Data Science with this highly-regarded Jupyter Notebook course, brought to you by the renowned experts at Packt Publishing. Consisting of 20 comprehensive lessons, this educational program has attracted the attention of nearly 2,000 eager students, all of whom offer a resounding 4.8 out of 5-star approval rating. Don’t miss the opportunity to enhance your skills and join this thriving community today!