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1 Section
31 Lessons
10 Weeks
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Even More Python for Beginners - Data Tools
31
2.1
Introduction to Even More Python for Beginners – Data Tools
4 Minutes
2.2
Introducing Jupyter Notebooks
13 Minutes
2.3
Introducing Anaconda
4 Minutes
2.4
Demo: Introducing Anaconda
4 Minutes
2.5
Getting started with pandas
10 Minutes
2.6
Demo: Getting started with pandas
7 Minutes
2.7
Introducing DataFrame
4 Minutes
2.8
Demo: Introducing DataFrame
3 Minutes
2.9
Working with a DataFrame
9 Minutes
2.10
Demo: Working with a DataFrame
5 Minutes
2.11
CSV files and Jupyter
2 Minutes
2.12
Demo: CSV files and Jupyter
2 Minutes
2.13
Loading CSV files into DataFrames
5 Minutes
2.14
Demo: Loading CSV files into DataFrames
6 Minutes
2.15
Manipulating DataFrame columns
4 Minutes
2.16
Demo: Manipulating DataFrame columns
4 Minutes
2.17
Handling duplicated and missing data
6 Minutes
2.18
Demo: Handling duplicated and missing data
6 Minutes
2.19
Introducing scikit-learn and setting up training data
12 Minutes
2.20
Demo: Setting up training data
6 Minutes
2.21
Training a model with scikit-learn
4 Minutes
2.22
Demo: Training a model with scikit-learn
3 Minutes
2.23
Testing a model with scikit-learn
3 Minutes
2.24
Demo: Testing a model with scikit-learn
4 Minutes
2.25
Exploring a model’s accuracy
4 Minutes
2.26
Demo: Exploring a model’s accuracy
4 Minutes
2.27
Working with NumPy
6 Minutes
2.28
Demo: Working with NumPy
5 Minutes
2.29
Visualizing data with Matplotlib
10 Minutes
2.30
Demo: Visualizing data with Matplotlib
4 Minutes
2.31
Conclusion and next steps
1 Minute
Introduction to Even More Python for Beginners – Data Tools
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