Which course should I do first?

We try to make our courses standalone, so we recommend that you start with the course you are more interested in.

The following are high level guidelines that may help you navigate our courses, if you are still in doubt.

Advanced Machine Learning

The courses within this specialization are standalone. As a guideline, you can follow the natural workflow of developing most machine learning pipelines:

1. Feature engineering for machine learning
2. Feature selection for machine learning
3. Hyperparameter optimization for machine learning
4. Machine Learning with imbalanced data
5. Interpreting machine learning models

Forecasting specialization

If you are completely new to forecasting using traditional machine learning models like xgboost and linear regression, then we recommend you take the courses in the following order:

• Forecasting with machine learning
• Feature engineering for time series forecasting

What about machine or deep learning courses?

We do not have introductory courses that teach machine learning or deep learning at the moment.

If you are looking for introductory courses, we have gathered a list of available courses in these 2 articles:

• Data science courses for working professionals
• Data science and machine learning courses