Lisa Reiber

“The projects helped me apply what I learned and understand how to tackle all the little things that come along in real life.”



Lisa Reiber

Data Analyst

Project overview

In this project, you’ll assume the role of a data journalist to investigate potential bias in Fandango’s movie rating system. Applying your Python skills, you’ll statistically analyze movie ratings data to determine if there’s a significant difference between Fandango’s ratings and other rating systems.

This project allows you to develop your data analysis skills in a real-world context. You’ll learn to critically examine data sampling methods, compare frequency distributions, and draw meaningful conclusions from statistical metrics. These techniques will enhance your ability to uncover insights and trends in various datasets.

Objective: Analyze movie ratings data using Python and statistical analysis to determine if Fandango inflated ratings after a previous analysis revealed bias in their rating system.

Key skill required

To complete this project, it's recommended to build these foundational skills in Python

  • Employing various sampling methods to sample data
  • Measuring variables in statistics
  • Identifying different types of variables
  • Generating frequency distribution tables
  • Creating visualizations to display frequency distributions

Projects steps

Step 1: Is Fandango Still Inflating Ratings?

Step 2: Understanding the Data

Step 3: Changing the Goal of our Analysis

Step 4: Isolating the Samples We Need

Step 5: Comparing Distribution Shapes for 2015 and 2016

Step 6: Comparing Relative Frequencies

Step 7: Determining the Direction of the Change

Step 8: Next steps

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