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When Was the Golden Age of Video Games?

4.5+
25 reviews
Beginner

Use joins and set theory to discover the best years for video games!

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8 Tasks1,500 XP24,805 Learners

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Project Description

In this project, you'll analyze video game critic and user scores as well as sales data for the top 400 video games released since 1977. You'll search for a golden age of video games by identifying release years that users and critics liked best, and you'll explore the business side of gaming by looking at game sales data.

Your search will involve joining datasets and comparing results with set theory. You'll also filter, group, and order data. Make sure you brush up on these skills before trying this project!

Project Tasks

  1. 1
    The ten best-selling video games
  2. 2
    Missing review scores
  3. 3
    Years that video game critics loved
  4. 4
    Was 1982 really that great?
  5. 5
    Years that dropped off the critics' favorites list
  6. 6
    Years video game players loved
  7. 7
    Years that both players and critics loved
  8. 8
    Sales in the best video game years

Technologies

SQL SQL

Topics

Data Manipulation
Izzy Weber HeadshotIzzy Weber

Data Coach at iO-Sphere

Izzy is a Data Coach at iO-Sphere. She discovered a love for data during her seven years as an accounting professor at the University of Washington. She holds a masters degree in Taxation and is a Certified Public Accountant. Her passion is making learning technical topics fun.
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*4.5
from 25 reviews
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  • Sy D.
    7 months

    Good job, DataCamp!

  • José J.
    9 months

    I really liked the questions made

  • PALAPON T.
    19 days

    I just started to learning Data Analyst for REAL after I trying find my path to growing up. This project might be another way to practice but it's absolutely important, And Data Camp makes it easier to learn!

  • Michael L.
    about 1 month

    Loved Video Games as a young kid, I am glad to done this project using SQL and doing some data aggregation.

  • Luke B.
    9 months

    An ok little opportunity to practice some concepts learned throughout the sql data analyst career track, but far too short and easy. It would be good if the final project was a bit more challenging and demonstrated a wide range of techniques so that users could add this to a portfolio to showcase their newly learned skills

"Good job, DataCamp!"

Sy D.

"I really liked the questions made"

José J.

"I just started to learning Data Analyst for REAL after I trying find my path to growing up. This project might be another way to practice but it's absolutely important, And Data Camp makes it easier to learn!"

PALAPON T.

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