01-intro-to-python-for-data-science
02-intermediate-python-for-data-science
03-python-data-science-toolbox-(part-1)
1-writing-your-own-functions
2-default-arguments-variable-length-arguments-and-scope
3-lambda-functions-and-error-handling
04-statistical-thinking-in-python-(part1)
05-importing-data-in-python-(part-1)
06-python-data-science-toolbox-(part-2)
07-statistical-thinking-in-python-(part-2)
08-importing-data-in-python-(part-2)
09-manipulating-time-series-data-in-python
10-cleaning-data-in-python
12-manipulating-dataframes-with-pandas
13-introduction-to-databases-in-python
14-merging-dataframes-with-pandas
15-introduction-to-data-visualization-with-python
16-interactive-data-visualization-with-bokeh
17-supervised-learning-with-scikit-learn
18-machine-learning-with-the-experts-school-budgets
19-unsupervised-learning-in-python
20-deep-learning-in-python
21-network-analysis-in-python-(part-1)
22-introduction-to-time-series-analysis-in-python
intro-to-sql-for-data-science
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