Course Content
Get the detailed Course Information here.
- 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
This course can be customized to fit the specific needs of the attendees and the company or industry they operate in.
Get the detailed Course Datasheet here.
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.