Help the MuscleHub gym determine the best fitness test format by conducting A/B testing. 

A/B Test for MuscleHub

Nosh Mish Mosh is a food startup with a cool new idea. Help them make data driven decisions by analyzing their user base.

A/B Testing at Nosh Mish Mosh

Analyst the A/B test data from ShoeFly.com using aggregate measures.

A/B Testing for ShoeFly.com

Use data visualizations to understand trends and relationships in commercial flight data.

Airline Analysis

Use your knowledge of context managers in Python to help Aisha’s Greetings - a card printing company that prints greeting cards.

Aisha's Greetings

In this project, you will explore data on Algerian forests and run multiple linear regression models using variables including temperature, humidity, and fire risk.

Algerian Forest Fires

Act as a 'Yahoo Finance' data analyst to generate a stock profile for Netflix.

Analyze and Visualize Netflix Stock Data

Query Hacker News data using SQL to discover trends.

Analyze Hacker News Trends

Query from two tables that contain Twitch’s stream viewing data and chat room usage data.

Analyze Twitch Gaming Data

Practice planning and implementing an A/B test.

Analyzing Farmburg's A/B Test

It's time to build fluency in Python fundamentals. In this next Pro Project, we're going to practice functions and conditionals in Python so you can hone your skills and feel confident taking them to the real world.
Why? Ever wanted to automate your math homework? Time to build something in Python that does just that.
What's next? Shapes, math, more Python. You got this!

Area Calculator

Answer business questions about the performance of marketing campaigns for CoolTShirts.com, an innovative apparel shop.

Attribution Queries

Help Betty figure out how much she needs to buy using NumPy arrays describing her recipes.

Betty's Bakery

Analyze and interpret data from the National Parks Service on the status of endangered species in some of the parks. Use your Python and statistics skills to better understand the status of various species.

Biodiversity in National Parks

Display your initials on the screen in block letters and create an ASCII art.

Block Letters

Use your pandas and matplotlib skills to analyze and visualize the FoodWheel dataset.

Board Slides for FoodWheel

In this project, we'll look at an online book seller's database and think about how to improve it using indexes.

Book Store Indexes

Classify tumors as either malignant or benign using K-Nearest Neighbors.

Breast Cancer Classifier

This project is a step-by-step guide to create a restaurant menu database schema using PostgreSQL that closely models a real-life restaurant.

Build A Menu For Bytes Of China

This project is an overview of all material covered in the PostgreSQL constraints lesson and asks learners to apply different datatypes, nullability constraints, check constraints, unique constraints, and primary and foreign key constraints on new and existing tables.



Building an Inventory Database with PostgreSQL

Practice calculating churn rates using SQL.

Calculating Churn Rates

In this project, you will learn how to use the basics of Python syntax and data to make calculations. 

Calculating Population Change Over Time

In this project, you will learn how to use the basics of R syntax and operations to make calculations.



Calculating Population Change Over Time with R

In this project, you will use your knowledge of mean, median and mode to make conclusions about three boroughs in New York City: Manhattan, New York City, and Queens.

Central Tendency for Housing Data

Use BeautifulSoup to scrape a site that contains over 1700 expert ratings of different chocolate bars. Then, put the data you find into Pandas and analyze the results!

Chocolate Scraping with Beautiful Soup

In this project, you will create a neural network that classifies mortality due to heart disease.

Classification

Build a deep learning model with TensorFlow to detect and classify infections from real X-ray scans.

Classify X-rays With Machine Learning

In this project, you will use a Convolutional Neural Network (CNN) to classify galaxies.

Classifying Galaxies

Use your knowledge of dplyr and tidyr to clean up this dataset containing a bunch of census data collected by the US government.

Cleaning US Census Data

Use your pandas and regex skills to clean up this dataset containing a bunch of census data collected by the US government.

Apply your knowledge of window functions to explore real climate data from each state in the United States.

Climate Change

Use your data visualization skills to explore the night sky and model the Orion Constellation.

Constellations

Compare linear regression models to predict housing prices on Craigslist.

Craigslist Analysis

Build fluency in SQL manipulation. We're going to practice creating tables in SQL so you can hone your skills and feel confident taking them to the real world.

Create a Table

Use NumPy to solve statistical questions about a cereal dataset. 

CrunchieMunchies

51 Cent is a digital currency exchange headquartered in San Francisco, California. They broker exchanges of Bitcoin, Bitcoin Cash, Ethereum, and Litecoin with fiat currencies in around 32 countries. Help them analyze their January data using SQL aggregate functions!

Cryptocurrency Exchange

In Codestrips, you'll build a back-end to support a small comic strip creation app. Using Express.js and Node-SQLite, create a new database, build the proper table, and create GET and POST routes to provide access to and the ability to create new comic strips.

Cumulative Project: Codestrips

Bring together all of your data skills skills into a portfolio project. Clean, analyze, and visualize, a dataset and then compile your results into a portfolio-worthy report.

Data Scientist Final Portfolio Project

In this project, you will curate your projects and code to create a job search-ready portfolio for your data scientist job search. You will need to create your own files, write your own code, and organize your work into your own site or repository. We’ll provide you with high-level tasks to guide your portfolio creation and ensure that it covers everything it should to showcase your skills.

We will also offer tips on how to make your portfolio stand out, but you are responsible for deciding what goes into your portfolio and what doesn’t. There are nearly infinite options for how to display your work, so treat this project as a starting point. In all likelihood, your portfolio will continue to grow throughout your career.

Have fun!


Data Scientist Interview Preparation Portfolio-Building Project

Bring together all of your data analytics skills into a portfolio project. Clean, analyze, and visualize, a dataset and then compile your results into a portfolio-worthy report.

Data Scientist: Analytics Specialist Final Portfolio

In this project, learners will normalize a database table containing data from a furniture store by creating a new set of tables that contain all of the same information. Learners will then have a chance to explore how data modifications and queries differ before and after normalization. 

Database Normalization at Fred's Furniture

In this project we will be working with a small database of customer information and how to improve it with triggers.

Database Triggers

Use collections, datasets, and dynamic pages to display and collect information on a blog.

Datasets: National Parks Adventures

Do you remember Davie's Burgers from our Learn CSS course? Well, the business has been booming and it is now looking to place a funny and catchy advertisement in a local subway station. Help them dig into their `orders` data to see if there is anything interesting in there!

Davie's Burgers Subway Ad

It's the day of a citywide track race and you're helping out your friends!



Day of the Race

You will create a regression deep learning model that predicts an applicant's graduate admissions chances based on various parameters, such as grades, test scores, and program rating.

Deep Learning Regression with Admissions Data

Use histograms to explain exam score distributions in a math class.

Describe Exam Grade Distributions

Determine the number of defective products made at a factory on a given day. Apply concepts from the Poisson distribution, including random variables, the probability mass function, the cumulative distribution function, and expected values.

Detecting Product Defects with Probability

Use your knowledge of models and databases to programmatically help the owners of Djaunty Rent-a-Bike build out their rental system!

Djaunty Rent-a-Bike

It's time to build fluency in Python fundamentals. In this next Pro Project, we're going to practice loops in Python so you can hone your skills and feel confident taking them to the real world.
Why? Being able to read and pull a file's data and then loop through each line will give you some serious power.  What's next? A spy, DNA, more Python. You got this! 

DNA Analysis

Given that a student answered a question correctly, what is the probability that she really knows the material?

Dr. Dirac's Statistics Midterm

Use your seaborn visualization skills to perform EDA on the Kiva dataset.

EDA with Kiva

Inspect, clean, and validate a dataset on diabetes prevalence among females of Pima Indian heritage.

EDA: Diagnosing Diabetes

See how survey responses compare to actual election results using binomial distributions. 

Election Results

In this project you will categorize emails using a Naive Bayes Classifier.

Email Similarity

In this project, you will practice further with creating generators to retrieve and iterate through streams of data as well as using various methods to manipulate the generator data.

Event Coordinator

Use your knowledge of DataFrames, reader, and dplyr to explore this dataset about cars from 1985. 

Explore the 1985 Cars Dataset

Use your bar chart analysis skills to the test with a fun mushroom dataset!

Exploring Mushrooms

Summarize the features of a dataset about student performance at two different schools.

Exploring Student Data

In this project we will be offering our services to a cool new startup named Familiar. We will be using statistical techniques to make statements and draw conclusions about Familiar's userbase.

Familiar: A Study In Data Analysis

In this project we will be offering our services to a cool new startup named Familiar. We will be using statistical techniques to make statements and draw conclusions about Familiar's user base.

In this project we will practice different hypothesis tests by analyzing dog data from FetchMaker, the hottest new business. We will be looking for significant differences between dog breeds. Un-leash your newfound knowledge on these statistical challenges!

FetchMaker

Use decision trees to predict what continent a flag comes from based on features like color and shape.

Find the Flag

Use deep learning to predict forest cover type based on cartographic variables.

Forest Cover Classification

Investigate Frida Kahlo's work in the project using your own computer!

Frida Kahlo Retrospective

Investigate Frida Kahlo’s work using Python lists!

Frida Kahlo Retrospective Off-Platform Project

Let's prepare to teach physics by writing some Python functions.

Getting Ready for Physics Class

Use your knowledge of Python files to take down an evil hacker once and for all. 

Hacking The Fender

In this project, you will be using K-Means clustering and scikit-learn to cluster images of handwritten digits.

Handwriting Recognition using K-Means

Use boxplots to compare how hospitals in different states charge patients for medical procedures.

Healthcare in Different States

Investigate risk factors for heart disease using descriptive statistics and hypothesis tests.

Heart Disease Research Part I

Heart Disease Research Part II

Fit a line to data about the honeybee population decline in the United States.

Honey Production

Write functions to organize and manipulate data about Category 5 Hurricanes. By using dictionaries and lists, you can easily access the data you want and present it in different ways.

Hurricane Analysis

Use NumPy and linear algebra knowledge to do fun image transformations!

Image Transformations with NumPy

The World Health Organization (WHO)'s Global Health Observatory (GHO) data repository tracks life expectancy for countries worldwide by following health status and many other related factors. 

Although there have been a lot of studies undertaken in the past on factors affecting life expectancy considering demographic variables, income composition, and mortality rates, it was found that the effects of immunization and human development index were not taken into account. 

This dataset covers a variety of indicators for all countries from 2000 to 2015 including:

* immunization factors
* mortality factors
* economic factors
* social factors
* other health-related factors
 

Ideally, this data will eventually inform countries concerning which factors to change in order to improve the life expectancy of their populations.
If we can predict life expectancy well given all the factors, this is a good sign that there are some important patterns in the data. Life expectancy is expressed in years, and hence it is a number. This means that in order to build a predictive model one needs to use regression. 

In this project, you will design, train, and evaluate a neural network model performing the task of regression to predict the life expectancy of countries using this dataset. Excited? Let's go!

Implementing Neural Networks

Let's add some more complex indexes to our book store database!

Intermediate Book Store Indexes

Practice your usage of Python lists to organize some pizza data.

Len's Slice

Analyze, prepare, and visualize data about GDP and life expectancy from the World Health Organization. Identify trends and spot outliers using your data analysis skills.

Life Expectancy and GDP

Investigate life expectancy around the world.

Life Expectancy By Country

Explore the limit definition of the derivative using Python.

Limit Definition of the Derivative Exploration

Help us understand quiz performance on Codecademy using linear regression.

Linear Regression at Codecademy

It's time to build fluency in SQL fundamentals. In this project, we're going to practice using multiple tables in SQL so you can hone your skills and feel confident taking them to the real world. Why? It's important to understand how to interact with multiple tables in a single query. What's next? A data analyst, ride sharing, more SQL. You got this! 

Lyft Trip Data

Use clustering algorithms to investigate the way people think about masculinity with data from FiveThirtyEight.

Masculinity Survey

Let's put what you've learned so far in SQL into practice. As a data analyst, you've been assigned to analyze some fictional data across multiple tables from the social news and content rating site Reddit. Let's dive in!

Multiple Tables with Reddit

Create a series of data visualizations to explore the distribution of museums by geographies, subject matter, and annual revenue.

Museums and Nature Centers

Analyze National Basketball Association (NBA) data to look at associations between teams, win-rates, playoff appearances, and more.

NBA Trends

In this project, you will work with several different types of iterables to create iterators to help you set up and organize the new class you’ll be teaching.

New Teacher in Town

Practice writing the most common types of queries.

New York Restaurants

It's time to build fluency in Python fundamentals. In this next Pro Project, we're going to practice functions in Python so you can hone your skills and feel confident taking them to the real world.
Why? Your Python skills are really starting to come together. Let's test what you know.
What's next? Dice, chance, more Python. You got this! 

Number Guess

Put your knowledge of lists, loops, and strings to work in this project decoding messages!

Off-Platform Project: Coded Correspondence

Use Python loops and functions to find the line of best fit for a dataset.

Off-Platform Project: Reggie's Linear Regression

Investigate a sales funnel using Pandas merges.

Page Visits Funnel

Use Principal Component Analysis (PCA) to transform features from telescope data to classify particles!

PCA Project

Train Perceptrons to work like logic gates! This simple neuron can act as an AND or an OR gate.

Perceptron Logic Gates

Analyze the inventory of Petal Power gardening store.

Petal Power Inventory

Calculate and visualize MLB player strike zones based on their real data.

Predict Baseball Strike Zones With Machine Learning

In this project you will use a Logistic Regression model to predict whether or not a passenger survived the sinking of the RMS Titanic.

Projects in Data Science

All Projects in Data Science