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Analyzing Crime in Los Angeles

IntermediateSkill Level
4.8+
4,229 reviews
Updated 03/2025
Find out when and where crime is most likely to occur, along with the types of crimes commonly committed in LA.
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PythonData ManipulationExploratory Data Analysis45 min1 Task1,500 XP39,427

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Project Description

Analyzing Crime in Los Angeles

Los Angeles, California, attracts people from all over the world, offering lots of opportunities, not always of the good kind! In this project, you'll serve as a data detective, supporting the Los Angeles Police Department (LAPD) in analyzing crime data to guide how they should allocate resources to protect the people of their city!

Analyzing Crime in Los Angeles

Find out when and where crime is most likely to occur, along with the types of crimes commonly committed in LA.
Start Project
  • 1

    Answer crime questions for the LAPD.

Don’t just take our word for it

*4.8
from 4,229 reviews
85%
15%
0%
0%
0%
  • Arshu
    25 minutes ago

    learnt so many things, can be made more complicated to cover everything i learnt, generally there are so many syntaxes, it needs a lot of practice, will appreciate more such projects.

  • Karl Lois
    31 minutes ago

  • Ahmed
    36 minutes ago

    ⭐⭐⭐⭐⭐
    This project is a great hands‑on way to practice real‑world exploratory data analysis with pandas, NumPy, and Seaborn. I especially liked how it combined data cleaning, feature engineering (like time and age grouping), and meaningful interpretation of results. The questions are well‑designed to encourage thinking beyond just code—focusing on insights that could actually be used in decision‑making. It’s challenging enough to be engaging, but still very approachable if you follow a structured workflow. Highly recommended for anyone wanting to strengthen their applied data analysis skills!

  • Khaled
    5 hours ago

  • Pierre-Rémi
    6 hours ago

  • Olivia
    10 hours ago

"learnt so many things, can be made more complicated to cover everything i learnt, generally there are so many syntaxes, it needs a lot of practice, will appreciate more such projects."

Arshu

Karl Lois

Khaled

FAQs

Is this project suitable for beginners?

Yes, this project is suitable for beginners. It requires a fundamental understanding of Python programming language and basic knowledge of how to work with datasets, tables and visualizations.

What is the programming language of this project?

The programming language of this project is Python.

Can I add this project to my Data Portfolio?

Yes, once you complete the project, you can add it to your Data Portfolio.

Do I need to download any software to complete this project?

No, you do not need to download any additional software to complete this project. You can complete the project using DataCamp Workspace.

What dataset will I be using for this project?

You will be using Los Angeles Police Department crime data for the project.

What types of questions will I need to answer?

You will need to answer questions such as when and where crimes are most likely to occur, as well as the types of crimes commonly committed in LA.

What tools will I use to build the project?

You will use the programming language Python and DataCamp Workspace to build this project.

What visualizations will I create?

You will create visualizations such as tables, bar graphs, and heatmaps in order to help answer crime questions for the LAPD.

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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.