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

4.5
étoiles
230 évaluations
34 avis

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

SD
29 avr. 2020

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

YS
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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1 - 25 sur 34 Avis pour Analyze Box Office Data with Plotly and Python

par Pearl S

19 juin 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.

par afif r a

2 août 2020

its amazing for beginner

par manya g

27 mai 2020

it was not much hands on

par marvin m

28 oct. 2020

There are alot of bugs in the code. I spent more hours debugging the codes (which I still have not found the errors). While I appreciate the skilling up on debugging - it just ate up too much time and killed the momentum.

par Yashodhan M

21 juil. 2020

After gathering the fundamental knowledge in python, the next thing I wanted to do was study about data visualization. I was totally taking this course to check whether I am liking this particular domain. Trust me after completing both the projects i.e. Seaborn and Plotly I can at least tell myself that I love data visualization. Yes, the syntax is confusing for first timers but you won't enjoy courses where they teach you theory so I purposely took these two courses. Thanks a lot for sharing your knowledge

par SHOMNATH D

30 avr. 2020

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

graphical representation

par Yash S

4 mai 2020

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

par Charudatt M

16 sept. 2020

Good to have hands-on experience

par Sheildon G

1 juin 2020

very interesting and refreshing

par Aymal K K

27 avr. 2020

Good EDA Concepts are discussed

par Shriniwas S U

2 mai 2020

Satisfied with task

par Rahul m

23 avr. 2020

Very interesting

par SAMRATH P S

28 mai 2020

fantastic!!

par Partheepan

20 avr. 2020

Very Useful

par Vaibhavi b K

13 sept. 2020

intersting

par Doss D

30 juin 2020

Thank you

par Abhishek P G

12 juin 2020

satisfied

par Veeramanickam M

23 avr. 2020

Thank you

par Deepa P

30 sept. 2020

Good

par Kavitha A S

14 juil. 2020

good

par Vajinepalli s s

18 juin 2020

nice

par tale p

17 juin 2020

good

par Anantharaman K

12 juil. 2020

The course gives us a look into feature engineering. The code explanation was OK. But it actually puts emphasis on the learners to be familiar with pandas and matplotlib libraries basics. So might be a little scarier for absolute beginners.

par kumar g

21 juin 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.

par Arul S

27 juin 2020

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