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Avis et commentaires pour d'étudiants pour Analyze Box Office Data with Plotly and Python par Coursera Project Network

233 évaluations

À propos du cours

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....

Meilleurs avis


29 avr. 2020

I have learnt the skill of Python Panda Programming and application of Plotty using for statistical data

graphical representation


3 mai 2020

The guided project was very nicely explained and gave me a hands on experience with Feature Engineering and Data Visualization.

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26 - 34 sur 34 Avis pour Analyze Box Office Data with Plotly and Python

par Abhinav T

16 mai 2020

The course pretty decent. I felt some topics were a little bit rushed, but overall it was a good experience.


28 mai 2020

It was very nice experience of lerning the subject from such a excillent professor

par Sanket G

12 sept. 2020

Well explained

par Vidyullatha

25 juin 2020

good course

par pellakuri h b

25 juin 2020



23 juin 2020


par Rizowan A

30 mai 2020


par Ankit G

29 mai 2020


par Задойный А

19 juil. 2020

Курс начинается не с начала (нужно пройти какой-то другой проект).

Большая часть проекта посвящена Pandas или Seaborn, а не Plotly (это тоже нужные библиотеки, но в курсе заявлено другое).

Используется устаревшая версия библиотеки plotly.