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
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary13 hoursProjects
12Prerequisites
1 courseWe suggest you complete the following courses before you get started with Analyze Data with Python:- Learn Python for Data Science
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. Plus, now you can build your prompt engineering skills and get hands-on experience writing, testing, and refining prompts directly in the course.
Skills you'll gain
- Describe datasets statistically
- Communicate insights visually
- Test hypotheses for significance
- Run A/B tests from start to finish
Syllabus
8 units • 15 lessons • 12 projects • 11 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
Learn How to use AI for Data Analysis
Learn how to use AI for data analysis.
- 7
Analyze Data with Python Portfolio Project
Create a data analysis project for your portfolio.
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 Analytics with AI: Hotel Cancellations
Analyze hotel cancellations using AI and Python. - practice Project
Betty's Bakery
Help Betty figure out how much she needs to buy using NumPy arrays describing her recipes. - practice Project
Election Results
See how survey responses compare to actual election results using binomial distributions.
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
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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.