Analyze Data with Python
Learn to analyze and visualize data using Python and statistics.
Includes Python, NumPy, SciPy, MatPlotLib, Jupyter Notebook, and more.
Skill level
IntermediateTime to complete
6 weeksCertificate of completion
YesPrerequisites
None
About this skill path
Data is everywhere, and more companies than ever are tracking and analyzing data to inform their decisions. In this Skill Path, you will learn to analyze data statistically and create meaningful data visualizations. You will use industry standard Python libraries including MatPlotLib, NumPy and SciPy. Along the way, you will apply these skills to real-world cases and build your data portfolio.
Skills you'll gain
- Describe datasets statistically
- Communicate insights visually
- Test hypotheses for significance
- Run A/B tests from start to finish
Syllabus
7 units • 14 lessons • 11 projects • 10 quizzes- 1
Welcome to the Analyze Data with Python Skill Path
Get started with the Analyze Data with Python Skill Path.
- 2
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.
- 3
Data Visualization with Matplotlib
Make effective, customized data visualizations in Python with Matplotlib.
- 4
Statistics for Data Analysis
Learn how to calculate and interpret several descriptive statistics using the Python library NumPy.
- 5
Hypothesis Testing with SciPy
Learn SciPy, a Python module for comparative statistics, in order to perform many different statistical tests in code.
- 6
Analyze Data with Python Portfolio Project
Create a data analysis project for your portfolio.
- 7
Analyze Data with Python Next Steps
What’s next?
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
Betty's Bakery
Help Betty figure out how much she needs to buy using NumPy arrays describing her recipes. - Project
CrunchieMunchies
Use NumPy to solve statistical questions about a cereal dataset. - Project
Election Results
See how survey responses compare to actual election results using binomial distributions.
Reviews from learners
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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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