Python Data Analysis

Introduction

• From data to insight with Python
• What you need to know
• What is new in this update
• Set up: Using Codespaces
• CoderPad challenges

1. Python Data Structures

• Warmup with Python loops
• Tuples, lists, and the slicing syntax
• Dictionaries and sets
• Comprehensions
• Data classes

2. Project: Finding Anagrams

• Overview: Finding anagrams
• Loading dictionaries from text files
• Finding anagrams
• Solution: Find palindromes

3. NumPy

• NumPy overview
• Creating NumPy arrays
• Indexing NumPy arrays
• Doing math with NumPy arrays
• Special arrays: Records and dates

4. Project: Weather Data

• Overview: Analyzing weather
• Loading station and temperature data
• Cleaning weather data
• Smoothing and plotting time series
• Weather charts
• Solution: Temperature anomaly

5. pandas

• pandas overview
• pandas DataFrames and Series
• Indexing in pandas
• Math and plotting in pandas
• Database operations in pandas

6. Project: Baby Names

• Overview: Analyzing baby names
• Loading name datasets
• Comparing name popularity
• Compiling top tens
• Solution: Unisex names

7. Importing and Wrangling Data with pandas

• Overview: The structure of data
• Importing data with pandas
• Cleaning data
• Filtering, reshaping, and tidying data
• Simulating data
• Solution: Country rankings

8. Summarizing and Visualizing Data

• Overview: Exploring data
• Summarizing quantitative data
• Visualizing distributions
• Comparing quantitative variables
• Summarizing and visualizing categorical data

9. Introduction to Data Modeling

• Overview: Understanding data
• Fitting models to data
• Model evaluation and selection
• Testing hypotheses with Monte Carlo
• A taste of machine learning
• Solution: Gapminder model fit

10. Project: COVID-19 Data

• Overview: COVID-19 data
• Summarizing COVID-19 data
• Visualizing COVID-19 data
• Modeling COVID-19 data

Conclusion

• Extending your Python data analysis skills