https://github.com/lmizner/codecademy_analyze_data_python
https://github.com/lmizner/codecademy_analyze_data_python
hypothesis-testing matplotlib numpy p-values python sample-mean scipy standard-deviation statistics variance
Last synced: about 1 month ago
JSON representation
- Host: GitHub
- URL: https://github.com/lmizner/codecademy_analyze_data_python
- Owner: lmizner
- Created: 2024-12-16T20:44:42.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-12-20T18:58:20.000Z (5 months ago)
- Last Synced: 2025-02-09T13:12:13.162Z (3 months ago)
- Topics: hypothesis-testing, matplotlib, numpy, p-values, python, sample-mean, scipy, standard-deviation, statistics, variance
- Language: Jupyter Notebook
- Homepage:
- Size: 4.57 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Codecademy_Analyze_Data_Python
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.
Course covers the following topics:
- NumPy: A Python Library for Statistics
- Data Visualization with Matplotlib
- Statistics for Data Analysis
- Hypothesis Testing with SciPy
- Learn How to use AI for Data Analysis
- Analyze Data with Python Portfolio Project