Analyze Data with Python
Learn to analyze and visualize data using Python and statistics.
Includes Python, NumPy, SciPy, MatPlotLib, Jupyter Notebook, and more.
Time to completeAverage based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary12 hours
Certificate of completionYes
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
Syllabus7 units • 14 lessons • 11 projects • 10 quizzes
Welcome to the Analyze Data with Python Skill Path
Get started with the Analyze Data with Python Skill Path.
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.
Data Visualization with Matplotlib
Make effective, customized data visualizations in Python with Matplotlib.
Statistics for Data Analysis
Learn how to calculate and interpret several descriptive statistics using the Python library NumPy.
Hypothesis Testing with SciPy
Learn SciPy, a Python module for comparative statistics, in order to perform many different statistical tests in code.
Analyze Data with Python Portfolio Project
Create a data analysis project for your portfolio.
Analyze Data with Python Next Steps
Projects in this skill path
Betty's BakeryHelp Betty figure out how much she needs to buy using NumPy arrays describing her recipes.
Election ResultsSee how survey responses compare to actual election results using binomial distributions.
CrunchieMunchiesUse NumPy to solve statistical questions about a cereal dataset.
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What's included in skill paths
Practice ProjectsGuided projects that help you solidify the skills and concepts you're learning.
AssessmentsAuto-graded quizzes and immediate feedback help you reinforce your skills as you learn.
Certificate of CompletionEarn a document to prove you've completed a course or path that you can share with your network.