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About Codecademy

When we started Codecademy, our goal was to give anyone in the world the ability to learn the skills they’d need to succeed in the 21st century. We set out to create a new, interactive way of learning — making it engaging, flexible, and accessible for as many people as possible. Since then, we have helped millions of people worldwide unlock modern technical skills and reach their full potential through code.

28 Weeks

Includes

Python 3, SQL, Pandas, NumPy, Matplotlib, Seaborn, SciPy

Experience

Beginners welcome

For those who want to

• Expand analytical skills
• Build specialized knowledge
• Create a pro portfolio

Earn

Certificate of Completion

What is data science?

Data science combines probability, statistics, and machine learning with domain knowledge to generate insights from data. These insights range from predicting outcomes and trends to visualizing relationships and patterns.

Data science affects almost everything we come in contact with from curated playlists to shopping recommendations to disease detection. Data scientists are also at the forefront of creating self-driving cars, chatbots, and our data-driven world.

What will you be able to do?

Here are just a few things you’ll be able to do with this skill.

ORGANIZE COMPLEX DATA

Use NumPy, pandas, and SQL to talk to databases and manipulate tables.

GO BEYOND THE STATS

Analyze datasets with Python and create visualizations to communicate your findings.

ACE THE INTERVIEW

Polish your portfolio, prove your mastery with certificates, and prep for interviews.

What projects will you build?

Analyzing Farmburg’s A/B Test

Practice planning and implementing an A/B test.

Usage Funnels with Warby Parker

Analyze Warby Parker’s marketing funnel from Quiz → Home Try-On → Purchase in order to calculate conversion rates.

Central Tendency for Housing Data

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.

Visualizing World Cup Data With Seaborn

In this project, learners will visualize World Cup data with Seaborn in Python.

What will you learn?

1

Welcome to the Data Analyst Career Path

Start off with an overview of what you’ll cover in the Data Scientist Career Path, projects you’ll build, and resources you’ll benefit from.2

Getting Started with Data Analytics

Start with a quick introduction to Data Analytics: what it is, how it works, and how it drives data-driven decision making.3

Python Fundamentals

Learn the fundamentals of Python from syntax to modules.

4

Python Portfolio Project

Use your understanding of Python syntax to sort and analyze data about U.S. medical insurance costs!5

Data Acquisition

Learn about various methods of acquiring data.6

Data Manipulation with Pandas

Gain an overview of data manipulation and data analysis with pandas, and introduce Python lambda functions.7

Data Wrangling and Tidying

Most data scientists spend the bulk of their time preprocessing data. Learn how to do it right.8

Summary Statistics

Learn about how data analysts use summary statistics to gain insights about data!9

Hypothesis Testing

Learn how to design and conduct a hypothesis test in Python.10

Data Visualization

Use data visualization to better explore and analyze your data.11

Data Visualization Portfolio Project

Use your understanding of data visualization to analyze and plot data about GDP and life expectancy.12

Communicating Data Analysis Findings

Communication is an important part of your work as a data analyst.13

Data Analysis Portfolio Project

Use your knowledge of data analysis to interpret data about endangered animals for the National Park Service.14

SQL for Interview Prep

Build on your SQL knowledge to prepare yourself for data analyst interviews.15

Analyze Real Data with SQL

Combine everything that you have learned to solve real-world business problems.16

Data Analyst Final Portfolio Project

Show off your knowledge of data analytics by developing your final portfolio project on a topic of your choice.17

Next Steps

Congratulations on finishing the Data Analyst Career Path! What will you do next?’

How are Career Paths different?

Get in-depth knowledge.

Learning to code means more than just memorizing syntax. Instead, we help you think like a real programmer.

Get a helpful roadmap.

Like a career advisor, we guide you through each step. You’ll learn the right thing at the right time, all in one place.

Get job ready.

Gain practical experience as you go by creating portfolio-worthy projects that will help you land your next job.