Welcome to this project-based course on Analyzing Box Office Data with Seaborn and Python. In this course, you will be working with the The Movie Database (TMDB) Box Office Prediction data set. The motion picture industry is raking in more revenue than ever with its expansive growth the world over. Can we build models to accurately predict movie revenue? Could the results from these models be used to further increase revenue? We try to answer these questions by way of exploratory data analysis (EDA) in this project and the next. The statistical data visualization libraries Seaborn and Plotly will be our workhorses to generate interactive, publication-quality graphs. By the end of this course, you will be able to produce data visualizations in Python with Seaborn, and apply graphical techniques used in exploratory data analysis (EDA).
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Analyze Box Office Data with Seaborn and Python
![Snehan Kekre](https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-instructor-photos.s3.amazonaws.com/30/b894a5e9eb4ed2bfa14d5ac3747af9/me.jpg?auto=format%2Ccompress&dpr=1&w=75&h=75&fit=crop)
Instructor: Snehan Kekre
Sponsored by University of Michigan
4,798 already enrolled
(179 reviews)
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What you'll learn
Produce data visualizations with Seaborn
Apply graphical techniques used in exploratory data analysis (EDA)
Details to know
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Data Loading and Exploration
Visualizing the Target Distribution
Comparing Film Revenue to Budget
Do Official Homepages Impact Revenue?
Distribution of Languages across Films
Common Words in Film Titles and Descriptions
How do Film Descriptions Impact Revenue?
Recommended experience
Some experience in programming in Python.
8 project images
Instructor
![Snehan Kekre](https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-instructor-photos.s3.amazonaws.com/30/b894a5e9eb4ed2bfa14d5ac3747af9/me.jpg?auto=format%2Ccompress&dpr=1&w=75&h=75&fit=crop)
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Reviewed on May 20, 2020
This course helped me gain hands-on experience using my knowledge of Python and its data visualisation libraries.
Reviewed on May 27, 2020
great idea, great course, the interface is not easy to work with.
Reviewed on Dec 22, 2020
Mr. Kekre was elaborative, clear, neat, and direct in illustrating the project, this is not overpraising; I would like to attend more projects for him.
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