Analyze Data with Python
Learn to analyze and visualize data using Python and statistics.
Includes Python, pandas, NumPy, SciPy, MatPlotLib, Jupyter Notebooks, and more.
Skill level
BeginnerTime to complete
10 weeksCertificate of completion
YesPrerequisites
None
About this skill path
Data is everywhere. More companies than ever are tracking and analyzing data to inform their decisions. In this Skill Path, you will learn to analyze data statistically in Python and communicate your findings with meaningful data visualizations. Along the way, you will apply these skills to real-world cases and build your data portfolio.
Skills you'll gain
- Clean and prep data with Python pandas
- Analyze data using statistics
- Create data visualizations
- Evaluate A/B tests
Syllabus
8 units • 28 lessons • 17 projects • 19 quizzes- 1
Introduction to Data Analysis
Prepare to learn Data Analysis by understanding how and why it is used.
- 2
Introduction to Python
Learn the fundamentals of Python, one of the most popular programming languages for Data Analysis.
- 3
NumPy: A Python Library for Statistics
Learn about NumPy, a Python library used to store arrays of numbers, organize large amounts of data, and perform statistical calculations.
- 4
Data Manipulation with Pandas
Learn the basics of Pandas, an industry standard Python library that provides tools for data manipulation and analysis.
- 5
Data Visualization with Matplotlib
Insights mean nothing if you can’t present them and convince others that the findings are important. But how do we present data in Python?
- 6
Statistics for Data Analysis
Learn how to calculate and interpret several descriptive statistics using the Python library NumPy.
- 7
Hypothesis Testing with SciPy
Learn SciPy, a Python module for comparative statistics, in order to perform many different statistical tests in code.
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
Getting Ready for Physics Class
Let's prepare to teach physics by writing some Python functions. - Project
Gradebook
Get practice using Python lists by keeping track of grades in multiple school subjects.
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
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- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
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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.
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