Course Content
- Chapter 1: Preface
- Chapter 2: Data Mining Patterns
- Chapter 3: Data Mining Sequences
- Chapter 4: Text Mining
- Chapter 5: Data Analysis – Regression Analysis
- Chapter 6: Data Analysis – Correlation
- Chapter 7: Data Analysis – Clustering
- Chapter 8: Data Visualization – R Graphics
- Chapter 9: Data Visualization – Plotting
- Chapter 10: Data Visualization – 3D
- Chapter 11: Machine Learning in Action
- Chapter 12: Predicting Events with Machine Learning
- Chapter 13: Supervised and Unsupervised Learning
Hands on Activities (Live Labs)
- Preface
- Data Mining Patterns
- Data Mining Sequences
- Text Mining
- Data Analysis – Regression Analysis
- Data Analysis – Correlation
- Data Analysis – Clustering
- Data Visualization – R Graphics
- Data Visualization – Plotting
- Data Visualization – 3D
- Machine Learning in Action
- Predicting Events with Machine Learning
- Supervised and Unsupervised Learning
Below are some of the career paths and potential opportunities after completing this course:
- Data Analyst
- Data Scientist
- Software Engineer
- Project Manager
- Systems Engineer
- Systems Developer
There are no prerequisites for taking this course. A passion for data science is an excellent starting point.
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