Python Data Analysis

Interested in using Python for data analysis? Learn how to use Python, NumPy, and pandas together to analyze data sets large and small.

Introduction

• Get started in data analysis with Python
• What you need to know
• What's new in this update

1. Installation and Setup

• Install Anaconda Python on OS X
• Install Anaconda Python on Windows
• Working with Jupyter Notebooks
• Using the exercise files
• Using Python in the cloud

2. Data Structures in Pure Python

• Warmup with Python loops
• Sequences: Lists, tuples, and the slicing syntax
• Dictionaries and sets
• Comprehensions
• Advanced Python containers

3. Wordplay: Anagrams and Palindromes

• Anagrams overview
• Loading a dictionary
• Finding anagrams
• Challenge: Palindromes
• Solution: Palindromes

4. Arrays with NumPy

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

5. Use Case: Weather Data

• Overview of use case
• Loading station and temperature data
• Filling missing values
• Smoothing time series
• Weather charts
• Challenge: Weather anomalies
• Solution: Weather anomalies

6. pandas

• pandas overview
• DataFrames and Series
• Indexing in pandas
• Plotting

7. Use Case: Baby Names

• Overview of use case
• Loading data sets
• Comparing name popularity
• Yearly top ten names
• Challenge: Unisex baby names
• Solution: Unisex baby names

Conclusion

• Next steps