Data Science Foundations
Learn to clean, analyze, and visualize data with Python and SQL.
Includes Python 3, SQL, Pandas, Matplotlib, Data Visualization, Data Cleaning, and more.
Skill level
BeginnerTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary55 hoursProjects
34Prerequisites
None
About this skill path
Data Science is one of the most in-demand skillsets that companies are constantly hiring for. This Skill Path will teach you the basics of cleaning, analyzing, and visualizing data. You will learn industry-standard languages and libraries including Python, pandas, and SQL. Along the way, you will create real-world projects to practice and demonstrate your analytics skills.
Skills you'll gain
- Analyze data with Python and statistics
- Read and write databases with SQL
- Create meaningful data visualizations
- Build a Data Science portfolio
Syllabus
15 units • 49 lessons • 34 projects • 35 quizzes- 1
Welcome to Data Science Foundations
Preview what lies ahead on your Data Science journey.
- 2
Principles of Data Literacy
Discover the world of data in this fully conceptual course where you will learn how to think about, visualize, and analyze data.
- 3
Learn SQL
Learn SQL — a popular language that’s used for communicating with databases and working with data.
- 4
Python Fundamentals for Data Science (Part I)
Build a foundation in programming with Python with a focus on Data Science!
- 5
Python Fundamentals for Data Science (Part II)
Continue building your Python Skills while applying them to real data science challenges including finding and working with real data.
- 6
Portfolio Project: U.S. Medical Insurance
Use your understanding of Python syntax to sort and analyze data about U.S. medical insurance costs!
- 7
Python Pandas for Data Science
Learn how to use the Python pandas library and lambda functions for Data Science.
Certificate of completion available with Plus or Pro
Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.
Projects in this skill path
- practice Project
Create a Table
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. - practice Project
New York Restaurants
Practice writing the most common types of queries. - practice Project
Analyze Hacker News Trends
Query Hacker News data using SQL to discover trends.
Earn a certificate of completion
Show your network you've done the work by earning a certificate of completion for each course or path you finish.- Show proofReceive a certificate that demonstrates you've completed a course or path.
- Build a collectionThe more courses and paths you complete, the more certificates you collect.
- Share with your networkEasily add certificates of completion to your LinkedIn profile to share your accomplishments.
Reviews from learners
- The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.ChrisCodecademy Learner @ USA
- I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
Our learners work at
Skill paths help you level-up
Get a specialized skill
Want to level up at work? Gain a practical, real-world skill that you can use right away to stand out at your job.Get step-by-step guidance
We guide you through exactly where to start and what to learn next to build a new skill.Get there quickly
We’ve hand-picked the content in each Skill Path to fast-track your journey and help you gain a new skill in just a few months.
Ready to learn a new skill?
Get started on Data Science Foundations with a free Codecademy account.StartLooking for something else?
Related resources
- Article
R Programming Language Explained (Careers, Use Cases, Difficulty)
Explore what the R programming language is, its features, pros and cons, use cases, careers, and how it compares to Python. Learn how R is used in data science and how easy it is to learn. - Article
Intro to Data Acquisition
Exploring and defining the methods of obtaining data - Article
What is Python?
What is Python, and what can it do?
Related courses and paths
- Career path
Data Scientist: Analytics Specialist
Data Analysts and Analytics Data Scientists use Python and SQL to query, analyze, and visualize data — and communicate findings.Includes 22 CoursesWith Professional CertificationBeginner Friendly70 hours - Career path
Business Intelligence Data Analyst
BI Data Analysts use Python and SQL to query, analyze, and visualize data — and Tableau and Excel to communicate findings.Includes 18 CoursesWith CertificateBeginner Friendly50 hours - Free course
Learn the Basics of Programming with Codecademy
This course is for new programmers who aren't sure what they want to learn about. Take this course to jumpstart your learning journey!Beginner Friendly1 hour
Browse more topics
- Data analytics2,787,008 learners enrolled
- Data science4,842,364 learners enrolled
- Data visualization460,884 learners enrolled
- Code foundations7,906,422 learners enrolled
- Computer science6,373,867 learners enrolled
- Web development5,299,831 learners enrolled
- Python3,907,153 learners enrolled
- For business3,698,333 learners enrolled
- JavaScript3,016,619 learners enrolled
What's included in skill paths
Practice Projects
Guided projects that help you solidify the skills and concepts you're learning.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of Completion
Earn a document to prove you've completed a course or path that you can share with your network.