Joel Ampong

“I can confidently say, without any doubt, that Dataquest gave me the skills to land my current position.”

Joel Ampong

Data Scientist

Project overview

In this project, you’ll take on the role of a data analyst tasked with predicting condominium sale prices in New York City. Using property sales data, you’ll apply linear regression modeling techniques in R to determine how well the size of a condominium explains its sale price, both across the city as a whole and within individual boroughs.

Throughout the project, you’ll develop skills in data cleaning, exploratory analysis, and statistical modeling. You’ll identify and handle outliers, use data visualization to understand trends, and build and interpret linear regression models. The project culminates in a comparison of model performance between boroughs.

Objective: Use linear regression modeling in R to predict New York City condominium sale prices based on size, and compare model accuracy between different boroughs.

Key skill required

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

  • Understanding the core concepts of predictive modeling
  • Assessing variable relationships using scatterplots
  • Fitting and interpreting linear regression models
  • Evaluating the accuracy of linear regression models

Projects steps

Step 1: How Well does the Size of a Condominium in New York City Explain Sale Price?

Step 2: Understanding the Data

Step 3: Explore Bivariate Relationships with Scatterplots

Step 4: Outliers and Data Integrity Issues

Step 5: Linear Regression Model for Boroughs in New York City Combined

Step 6: Linear Regression Models for each Borough - Coefficient Estimates

Step 7: Linear Regression Models for each Borough - Regression Summary Statistics

Step 8: Next steps

Master skills faster with Dataquest

Go from zero to job-ready

Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build your project portfolio

Build your project portfolio

Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your path certification

Showcase your path certification

Share the evidence of your hard work with your network and potential employers.

The Dataquest guarantee


Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.


We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.

Recommended projects


Guided Project: Investigating Fandango Movie Ratings

Practice using R to analyze movie ratings data, compare 2015 vs 2016 ratings, and apply sampling and distributions to investigate bias.

R Intermediate 8 steps

Guided Project: NYC Schools Perceptions

Practice data cleaning, analysis, and visualization in R to explore survey data and showcase your skills with R Notebooks.

R Beginner 3 steps

Guided Project: Investigating Fandango Movie Ratings

Practice statistical analysis in Python to investigate movie rating bias and determine if Fandango inflated ratings.

Python Intermediate 8 steps

Guided Project: Building Fast Queries on a CSV

Practice implementing an inventory system for a laptop store using Python classes, dictionaries, and binary search.

Python Intermediate 10 steps

Guided Project: Garden Simulator Text Based Game

Practice using OOP, error handling, and randomness in Python to create an interactive gardening game simulator.

Python Beginner 11 steps

Guided Project: Predicting Heart Disease

Practice building a K Nearest Neighbors classifier in Python to predict heart disease risk from patient data.

Python Intermediate 10 steps

Guided Project: Word Raider

Practice using Python variables, lists, loops, conditionals, and file handling to build an interactive word-guessing game.

Python Beginner 11 steps

Guided Project: Predicting Condominium Sale Prices

Practice using linear regression in R to predict condominium sale prices based on size and location in New York City.

R Intermediate 8 steps

Guided Project: Kaggle Data Science Survey

Practice analyzing survey data in Python to uncover insights about data science careers and skills.

Python Beginner 8 steps

Grow your career with

of learners recommend
Dataquest for career advancement
Dataquest rating
SwitchUp Best Bootcamps
Average salary boost
for learners who complete a path

Aaron Melton

Business Analyst at Aditi Consulting

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”


Jessica Ko

Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”


Victoria E. Guzik

Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”

Join 1M+ data learners on


Create a free account


Choose a learning path


Complete exercises and projects


Advance your career

Start learning today