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Curriculum
- 1 Section
- 25 Lessons
- 2 Weeks
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- Python Data Science Course Outline25
- 1.0Introduction
- 1.1Discovering the Match between Data Science and Python
- 1.2Introducing Python Capabilities
- 1.3Setting Up Python for Data Science
- 1.4Reviewing Basic Python
- 1.5Working with Real Data
- 1.6Conditioning Data
- 1.7Shaping the Data
- 1.8Putting What You Know in Action
- 1.9MatPlotLib
- 1.10Visualizing the Data
- 1.11Understanding the Tools
- 1.12Stretching Python Capabilities
- 1.13Exploring Data Analysis
- 1.14Reducing Dimensionality
- 1.15Clustering
- 1.16Detecting Outliers in Data
- 1.17Exploring Four Simple and Effective Algorithms
- 1.18Performing Cross-Validation, Selection and Optimization
- 1.19Increasing Complexity with Linear and Nonlinear Tricks
- 1.20Understanding the Power of the Many
- 1.21Essential Data Science Resource Collections
- 1.22Data Challenges You Should Take
- 1.23Video Lectures
- 1.24Exams and Certification