AI Data Science Course
What will I learn?
Unlock the power of data with our AI Data Science Course, tailored for Business Intelligence professionals. Dive into data exploration techniques to identify missing values and detect patterns. Master feature engineering and preprocessing methods to enhance data quality. Learn model training, validation, and evaluation metrics like MAE and RMSE. Gain insights into AI model selection, including LSTM, Random Forest, and ARIMA models. Transform data into actionable business recommendations and drive success.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master data exploration: Identify patterns and anomalies in datasets.
Develop insights: Formulate actionable business recommendations.
Engineer features: Create and select impactful data features.
Train AI models: Implement effective model training and validation.
Evaluate models: Compare performance using key metrics like MAE and RMSE.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.