Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from their data and get a competitive edge. This course will serve you well as a solid foundation for really mastering Python.
| Session | Topics Covered | Hours |
|---|---|---|
| 1 | Introduction and Getting Starting With Python 3 | 3 |
| 2 | Strings and Collections | 3 |
| 3 | Modularity and Objects | 3 |
| 4 | Collections in-depth and Handling exceptions | 3 |
| 5 | Iterables and Comprehensions | 3 |
| 6 | Classes and Shipping Working and Maintainable Code | 3 |
| 7 | Numpy and Data Preparation | 3 |
| 8 | Algorithm Selection, Training model and testing | 3 |
| Total Hours | 24 |
| Session | Topics Covered | Hours |
|---|---|---|
| 1 | Introduction and Getting Starting With Python 3 | 3 |
| 2 | Strings and Collections | 3 |
| 3 | Modularity and Objects | 3 |
| 4 | Collections in-depth and Handling exceptions | 3 |
| 5 | Iterables and Comprehensions | 3 |
| 6 | Classes and Files and Resource Management | 3 |
| 7 | Shipping Working and Maintainable Code | 3 |
| 8 | Frame Works and Enterprise Ready code | 3 |
| Total Hours | 24 |