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Investigating Netflix Movies and Guest Stars in The Office

Principiante
4.6+
39 reviews
Updated 12/2023

Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie and TV data.

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10 Tasks1,500 XP121,484

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Project Description

In this project, you’ll apply the skills you learned in Introduction to Python and Intermediate Python to solve a real-world data science problem. You’ll press “watch next episode” to discover if Netflix’s movies are getting shorter over time and which guest stars appear in the most popular episode of "The Office", using everything from lists and loops to pandas and matplotlib.

You’ll also gain experience in an essential data science skill — exploratory data analysis. This will allow you to perform critical tasks such as manipulating raw data and drawing conclusions from plots you create of the data. Press play to begin!

Project Tasks

  1. 1
    Loading your friend's data into a dictionary
  2. 2
    Creating a DataFrame from a dictionary
  3. 3
    A visual inspection of our data
  4. 4
    Loading the rest of the data from a CSV
  5. 5
    Filtering for movies!
  6. 6
    Creating a scatter plot
  7. 7
    Digging deeper
  8. 8
    Marking non-feature films
  9. 9
    Plotting with color!
  10. 10
    What next?

Technologies

Python Python

Topics

Data ManipulationData VisualizationProgramming

Prerrequisitos

Intermediate Python
Justin Saddlemyer HeadshotJustin Saddlemyer

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*4.6
de 39 opiniones
72%
23%
3%
3%
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Ordenar por
  • Ali F.
    14 days

    it was okay

  • Chetan B.
    6 months

    Tonnes of fun and a useful way to apply the skills leant in the course. I felt like all my learning was consolidated and that I'm ready for the next level now.

  • Ahmed A.
    about 1 year

    Great

  • Hager H.
    about 1 year

    it was to test my skills

  • Joseph F.
    about 1 year

    It gave me a good learning experience. I did struggle through the exercise.

"it was okay"

Ali F.

"Tonnes of fun and a useful way to apply the skills leant in the course. I felt like all my learning was consolidated and that I'm ready for the next level now."

Chetan B.

"Great"

Ahmed A.

What do other learners have to say?