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Analyze Box Office Data with Plotly and Python
Welcome to this project-based course on Analyzing Box Office Data with Plotly 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) and feature engineering. We will primarily use Plotly for data visualization. Plotly Python which is Plotly's Python graphing library makes interactive, publication-quality graphs ready for both online and offline use.
This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and scikit-learn pre-installed.
Notes:
- You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want.
- This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Rating | Not enough ratings |
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Length | 2 weeks |
Effort | 1.5 hours |
Starts | Jul 10 (42 weeks ago) |
Cost | $9 |
From | Rhyme, Coursera Project Network via Coursera |
Instructor | Snehan Kekre |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Programming |
Tags | Data Science Data Analysis Machine Learning |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Box Office Attendant $17k
Guest Box Office $19k
Box Office Agent $20k
Box office clerk $25k
Box Office Worker $27k
Box Office Coordinator $30k
Box Office Manger $35k
Onstage Box Office $37k
Senior Box Office $40k
Box Office/Usher $40k
Box Office Consultant $46k
Box Office Treasurer $71k
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Rating | Not enough ratings |
---|---|
Length | 2 weeks |
Effort | 1.5 hours |
Starts | Jul 10 (42 weeks ago) |
Cost | $9 |
From | Rhyme, Coursera Project Network via Coursera |
Instructor | Snehan Kekre |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Programming |
Tags | Data Science Data Analysis Machine Learning |
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