About this course
Interested in using Python for data analysis? Learn how to use Python, NumPy, and pandas together to analyze data sets large and small.
Get started in data analysis with Python
2mWhat you need to know
38sWhat's new in this update
27sInstall Anaconda Python on OS X
2m 35sInstall Anaconda Python on Windows
2m 52sWorking with Jupyter Notebooks
4m 11sUsing the exercise files
1m 32sUsing Python in the cloud
2m 50sWarmup with Python loops
7m 5sSequences: Lists, tuples, and the slicing syntax
5m 19sDictionaries and sets
5m 17sComprehensions
4m 44sAdvanced Python containers
7m 54sAnagrams overview
1m 7sLoading a dictionary
4m 10sFinding anagrams
5m 29sChallenge: Palindromes
49sSolution: Palindromes
2m 9sNumPy overview
3m 15sCreating NumPy arrays
5m 14sIndexing NumPy arrays
5m 20sDoing math with NumPy arrays
5m 21sSpecial arrays: Records and dates
4m 22sOverview of use case
1m 4sLoading station and temperature data
6m 12sFilling missing values
5m 10sSmoothing time series
6m 26sWeather charts
5m 3sChallenge: Weather anomalies
46sSolution: Weather anomalies
2m 5spandas overview
1m 8sDataFrames and Series
6m 35sIndexing in pandas
5m 49sPlotting
7m 26sOverview of use case
44sLoading data sets
3m 16sComparing name popularity
4m 20sYearly top ten names
4m 23sChallenge: Unisex baby names
1m 3sSolution: Unisex baby names
3m 27sNext steps
58s