Practical Jupyter Notebook from Beginner to Expert
3.5
Udemy238 learners
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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
3.3
Udemy3,024 learners
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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!
Data Analysis Crash Course For Beginners (Pandas + Python)
4.8
Udemy1,825 learners
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This Data Analysis Crash Course For Beginners (Pandas + Python) is the perfect way to get started with Data Analysis. Learners will gain a comprehensive understanding of the fundamentals of Data Analysis with Python and Pandas library. Through this course, learners will be able to work with Pandas, iPython, Jupyter Notebook, CSV, Excel, TXT, JSON Files and API Responses, and DataFrames (Indexing, Slicing, Adding and Deleting). After completing this course, learners will have a solid foundation in Data Analysis and be ready to explore more in-depth topics in the future.
Data Science & Real World Computing with Jupyter Notebook
3.6
Udemy172 learners
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This course is designed to teach new learners the fundamentals of data science and real-world computing with Jupyter Notebook. It provides a step-by-step guide to exploring the possibilities in the field of Jupyter, from data exploration to visualization. Learners will learn how to use Jupyter's features to perform various data science tasks, such as data scraping and cleaning, and how to integrate Python 3, R, and Julia with Jupyter for various data science tasks. Take this course to learn how to leverage the power of Jupyter to perform data science tasks efficiently. You will also learn to create insightful visualizations, showing time-stamped and spatial data, and master relatively advanced methods in interactive numerical computing, high-performance computing, and data visualization.
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