Analyze Financial Data with Python
Level up in financial analytics by learning Python to process, analyze, and visualize financial data.
Includes Python, Portfolio Optimization, Financial APIs, NumPy, Financial Statistics, MatPlotLib, and more.
Skill level
BeginnerTime to complete
7 weeksCertificate of completion
YesPrerequisites
None
About this skill path
The best analysts at banks and hedge funds rely on more than Excel to efficiently process data and produce recommendations. In this Skill Path, you will learn to process, analyze, and visualize financial data with Python, one of the most popular programming languages in the world. Along the way, you’ll produce case studies and presentations to demonstrate your new skills.
Skills you'll gain
- Optimize a portfolio with Python
- Automate financial analysis
- Produce visual reports
Syllabus
6 units • 19 lessons • 17 projects • 16 quizzes- 1
Introduction to Python
Learn the basics of Python, one of the world’s most popular and powerful programming languages, and see how it can be utilized in Finance.
- 2
Introduction to NumPy
Learn the basics of NumPy, a Python package for handling large, multi-dimensional arrays and matrices, to quicken your financial analyses.
- 3
Introduction to Pandas
Learn the basics of Pandas, a Python package for data manipulation and analysis, and discover how to access financial data from APIs.
- 4
Visualizing Finance Data
Learn the basics of Matplotlib, a Python package for data visualization, and discover how to optimize a portfolio of stocks.
- 5
Regression
Learn the basics of Regression, a statistical modeling technique for estimating the relationships between variables.
- 6
Capstone
Complete our capstone project that will test all of your financial and programming skills.
Hands-on learning
Don't just watch or read about someone else coding — write your own code live in our online, interactive platform. You'll even get AI-driven recommendations on what you need to review to help keep you on track.
Projects in this skill path
- Project
Receipts for Lovely Loveseats
Keep receipts for your lovely loveseats. Programming is a treat with this sweet suite of feats! Use strings and numbers to save a catalog of furniture, then perform concatenation and math calculations to create a receipt. - Project
Block Letters
Display your initials on the screen in block letters and create an ASCII art. - Project
NPV Analysis - Project Greenspace
Help your team evaluate a potential project, and visualize changes to cash flows to assess how those changes can affect the attractiveness of a project.
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 Analyze Financial Data with Python with a free Codecademy account.Looking for something else?
Related resources
Related courses and paths
- Career path
Data Scientist: Inference Specialist
Inference Data Scientists run A/B tests, do root-cause analysis, and conduct experiments. They use Python, SQL, and R to analyze data.Includes 24 CoursesWith CertificateBeginner Friendly85 hours - 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 - 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
- Python4,370,646 learners enrolled
- Data Science5,576,638 learners enrolled
- For Business9,519,917 learners enrolled
- Code Foundations12,507,337 learners enrolled
- Computer Science7,148,361 learners enrolled
- Web Development6,631,913 learners enrolled
- Cloud Computing3,952,070 learners enrolled
- Data Analytics3,733,521 learners enrolled
- IT3,698,516 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.