Python For AI Course
What will I learn?
Unlock the potential of Python for AI in Business Intelligence with our detailed course. Delve into data pre-processing, mastering techniques like scaling, normalising, and encoding. Explore data loading and analysis, handle missing values, and effectively utilise CSV files. Advance with time series forecasting using ARIMA, LSTM, and Prophet models. Enhance your abilities in model training, hyperparameter tuning, and performance evaluation. Create impactful visualisations and generate future sales predictions. Boost your BI expertise with practical, top-notch learning.
Apoia's Advantages
Develop skills
Enhance the development of the practical skills mentioned below
Master data pre-processing: Scale, normalise, and encode for optimal AI models.
Conduct exploratory data analysis: Discover insights and manage missing values.
Implement time series models: Use ARIMA, LSTM, and Prophet for accurate forecasting.
Optimise model performance: Split data, tune hyperparameters, and evaluate results.
Visualise and document insights: Create impactful visuals and thorough documentation.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify 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 provides practical and relevant knowledge for your professional journey.