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148 Bewertungen
24 Bewertungen

Über den Kurs

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....

Top-Bewertungen

SD

Apr 30, 2020

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

YS

May 04, 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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1 - 24 von 24 Bewertungen für Analyze Box Office Data with Plotly and Python

von SHOMNATH D

Apr 30, 2020

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

graphical representation

von Yash S

May 04, 2020

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

von Sheildon G

Jun 01, 2020

very interesting and refreshing

von Aymal k

Apr 27, 2020

Good EDA Concepts are discussed

von Shriniwas S U

May 02, 2020

Satisfied with task

von Mangalaram R R

Apr 23, 2020

Very interesting

von Samrath S

May 28, 2020

fantastic!!

von Partheepan

Apr 20, 2020

Very Useful

von Doss D

Jun 30, 2020

Thank you

von Abhishek P G

Jun 12, 2020

satisfied

von Veeramanickam M

Apr 23, 2020

Thank you

von Vajinepalli s s

Jun 18, 2020

nice

von tale p

Jun 17, 2020

good

von kumar g

Jun 21, 2020

i raise a query during class time but not get resolved maybe it happen due to some technical issue.please fix this.thanks for the guided projects.

von Arul S

Jun 27, 2020

Great Course to get a foundation of plotly . One will also get a good knowledge of dealing with time series data

von Abhinav T

May 16, 2020

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

von VISHAKHA P

May 28, 2020

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

von Vidyullatha

Jun 25, 2020

good course

von pellakuri h b

Jun 25, 2020

THANK YOU

von SARAVANAN.V

Jun 23, 2020

Nice

von Rizowan A

May 30, 2020

nice

von Ankit G

May 29, 2020

NICE

von Pearl S

Jun 19, 2020

This is marked as a Beginner project, but there is a prerequisite that is not mentioned anywhere. The prerequisite project is marked as an Intermediate level project, so it doesn't quite make sense. It needs to be clear that the other project is a prerequisite for this one. I took this to get an introduction to Plotly and Python - alot of time was spent on how to clean and group data through Python, which I guess was helpful, but more description around the correct syntax for functions would have been helpful.

von Manya g

May 27, 2020

it was not much hands on