Get Your Data Analytics Certification Online With a Treehouse Techdegree

Interact with data and develop analyses

Realtime Student Support

Throughout the Techdegree you’ll interact closely with our student success team. Our team will review and help debug your projects, answer questions, and act as a sounding board. You’ll have access to our team via our dedicated Slack workspace and Zoom.

Real-world Projects

After completing Techdegree, you’ll have a well-rounded portfolio of projects to demonstrate your newly-acquired expertise.

Interactive Quizzes And Code Challenges

Test your knowledge with quizzes or test out of subjects you've already mastered. Plus, use Treehouse's interactive Workspaces to create staging environments for the code you write.

In-depth Code Reviews by Peers

Peer reviews are an integral part of the Techdegree experience. Real-world job roles often require a lot of reviewing other people’s code and design—once you graduate Techdegree, you’ll have experience giving and receiving feedback.

What will you create?

Project 1 | 11 Activities

A Number Guessing Game

Build a console number guessing game that prompts a player to choose a number between a specified range of numbers.

Project 2 | 8 Activities

A Basketball Stats Tool

Build a console-based basketball team statistics tool to help you divide up a group of players into teams and then provide a team analysis.

Project 3 | 5 Activities

Analyze Olympic Data

Analyze Olympic data from 1896-2016. Use Google Sheets to compute statistics, filter and sort data, apply conditional formatting, create a customized chart, and create a pivot table. Answer questions based on analyzed data.

Project 4 | 7 Activities

Grocery Store Inventory

Build a console application that loads existing inventory data from CSV files into a SQLite database using Python’s SQLAlchemy. The application will allow a user to interact with the records stored in the database to view existing records, add new items, and backup/export the existing state of the database into a CSV file.

Project 5 | 5 Activities

Pet Shelter Analysis

Use Python’s Pandas library to analyze pet shelter data to answer important questions for stakeholders.

Project 6 | 4 Activities

Graphing Video Game Sales

Use Python’s graphing libraries, Matplotlib and Seaborn, to analyze video game sales data. Use JupyterLab to create graphs and analyze the data.

Project 7 | 3 Activities

Musical Analysis

Use Python’s Pandas library to combine multiple datasets into one before answering analysis questions.

Project 8 | 4 Activities

Movie API Analysis

Gather data on the 10 best picture Oscar-winning movies from a movie API then analyze the data using JupyterLab.