Jupyter Notebook for Data Science

Course Feature
  • Cost
    Paid
  • Provider
    Udemy
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    2018-09-06
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    Packt Publishing
Next Course
4.6
1,967 Ratings
This course is perfect for those looking to become familiar with Jupyter Notebook and its features to perform data science tasks in Python. Led by Dražen Lucanin, a developer, data analyst, and founder of Punk Rock Dev, learners will start from basic data analysis tasks and work their way up to learn common scientific Python tools. Through the course, learners will work with real datasets, such as crime and traffic accidents in New York City, to explore data scraping and cleaning. By the end, learners will be able to create insightful visualizations and interactive reports to extract useful information from datasets. Don't miss out on this opportunity to learn the fundamentals of data science with Jupyter Notebook!
Show All
Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course is designed to help new learners become familiar with Jupyter Notebook and its features to perform various data science tasks in Python. Through the course, participants will start from basic data analysis tasks in Jupyter Notebook and work their way up to learn some common scientific Python tools such as pandas, matplotlib, and plotly. Real datasets, such as crime and traffic accidents in New York City, will be used to explore common issues such as data scraping and cleaning. Insightful visualizations, showing time-stamped and spatial data, will be created. By the end of the course, participants will feel confident about approaching a new dataset, cleaning it up, exploring it, and analyzing it in Jupyter Notebook to extract useful information in the form of interactive reports and information-dense data visualizations. The course is taught by Dražen Lucanin, a developer, data analyst, and the founder of Punk Rock Dev, an indie web development studio.

Course Syllabus

Jupyter Notebook Introduction

Data Analysis Using Pandas

Scraping Data

Advanced Visualization

Analyzing Geographic Data

Show All
Recommended Courses
wrangling-major-league-baseball-pitchf-x-data-with-python-9852
Wrangling Major League Baseball Pitchf&x Data with Python
4.3
Udemy 3,097 learners
Learn More
This course is perfect for coders, SaberMetricians, and baseball fans who want to gain insight into the MoneyBall phenomenon and the next wave of player development. Through the use of Python, learners will be able to wrangle MLB PitchF/x data from Clayton Kershaw's 2014 no-hitter and graph the pitches with MatPlotLib and PyPlot. Along the way, learners will also learn best practices for Jupyter Notebook, Python coding, XML parsing, and more. This course provides new learners with an introduction to SaberMetrics, the empirical study of baseball statistics. Don't miss out on this opportunity to explore the world of SaberMetrics and MoneyBall!
learning-path-jupyter-interactive-computing-with-jupyter-9853
Learning Path: Jupyter: Interactive Computing with Jupyter
3.3
Udemy 290 learners
Learn More
This Learning Path is designed to help new learners understand the Jupyter Notebook, an open-source web application that supports more than 40 programming languages. Dan Toomey, a 20+ year veteran of application development, will guide learners through the process of integrating the Jupyter system with different programming languages, such as R, Python, JavaScript, and Julia. Learners will also learn how to use interactive widgets, namespaces, and work with Jupyter in the multiuser mode. By the end of the course, learners will be able to write code, compute mathematical formulae, create graphics, and view the output, all in a single document and web browser. Click this course to learn how to use Jupyter Notebook and access Big Data with ease!
practical-jupyter-notebook-from-beginner-to-expert-9854
Practical Jupyter Notebook from Beginner to Expert
3.5
Udemy 238 learners
Learn More
This course provides a comprehensive introduction to the Jupyter Notebook, from installation and setup to mastering the core concepts and operations. Through practical examples, learners will gain an understanding of the Jupyter Notebook from beginner to expert level. Topics include creating and running .py files, formatting text, creating tables and equations, embedding images, audios, and videos, changing themes, using shortcuts, installing packages, creating basic and interactive plotting, and more. Click now to learn how to use the Jupyter Notebook quickly and easily!
an-introduction-getting-started-with-jupyter-notebook-9855
An Introduction: Getting Started with Jupyter Notebook
3.3
Udemy 3,024 learners
Learn More
This course provides a comprehensive introduction to Jupyter Notebook, a popular open-source web application used by data scientists, analysts, and researchers. Learners will learn how to install and set up Jupyter Notebook, create and execute code cells in Python, and perform data manipulation and analysis using popular Python libraries. They will also learn how to collaborate with others by sharing and exporting notebooks. By the end of the course, learners will have a solid understanding of Jupyter Notebook and be able to use it to perform basic data science tasks. Join this course to get started with Jupyter Notebook and become a data science expert!
Favorites (0)
Favorites
0 favorite option

You have no favorites

Name delet