Curriculum
- 1 Section
- 31 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Even More Python for Beginners - Data Tools31
- 2.1Introduction to Even More Python for Beginners – Data Tools4 Minutes
- 2.2Introducing Jupyter Notebooks13 Minutes
- 2.3Introducing Anaconda4 Minutes
- 2.4Demo: Introducing Anaconda4 Minutes
- 2.5Getting started with pandas10 Minutes
- 2.6Demo: Getting started with pandas7 Minutes
- 2.7Introducing DataFrame4 Minutes
- 2.8Demo: Introducing DataFrame3 Minutes
- 2.9Working with a DataFrame9 Minutes
- 2.10Demo: Working with a DataFrame5 Minutes
- 2.11CSV files and Jupyter2 Minutes
- 2.12Demo: CSV files and Jupyter2 Minutes
- 2.13Loading CSV files into DataFrames5 Minutes
- 2.14Demo: Loading CSV files into DataFrames6 Minutes
- 2.15Manipulating DataFrame columns4 Minutes
- 2.16Demo: Manipulating DataFrame columns4 Minutes
- 2.17Handling duplicated and missing data6 Minutes
- 2.18Demo: Handling duplicated and missing data6 Minutes
- 2.19Introducing scikit-learn and setting up training data12 Minutes
- 2.20Demo: Setting up training data6 Minutes
- 2.21Training a model with scikit-learn4 Minutes
- 2.22Demo: Training a model with scikit-learn3 Minutes
- 2.23Testing a model with scikit-learn3 Minutes
- 2.24Demo: Testing a model with scikit-learn4 Minutes
- 2.25Exploring a model’s accuracy4 Minutes
- 2.26Demo: Exploring a model’s accuracy4 Minutes
- 2.27Working with NumPy6 Minutes
- 2.28Demo: Working with NumPy5 Minutes
- 2.29Visualizing data with Matplotlib10 Minutes
- 2.30Demo: Visualizing data with Matplotlib4 Minutes
- 2.31Conclusion and next steps1 Minute
Course Features
- Lectures 31
- Quiz 0
- Duration 50 hours
- Skill level All levels
- Language English
- Students 595
- Assessments Yes
