Python for ai Course
What will I learn?
Unlock the power of Python for AI in Business Intelligence with our comprehensive course. Dive into data preprocessing, mastering techniques like scaling, normalizing, and encoding. Explore data loading and analysis, tackle missing values, and harness CSV files. Advance with time series forecasting using ARIMA, LSTM, and Prophet models. Enhance your skills in model training, hyperparameter tuning, and performance evaluation. Create impactful visualizations and generate future sales predictions. Elevate your BI expertise with practical, high-quality learning.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master data preprocessing: Scale, normalize, and encode for optimal AI models.
Conduct exploratory data analysis: Uncover insights and handle missing values.
Implement time series models: Use ARIMA, LSTM, and Prophet for accurate forecasts.
Optimize model performance: Split data, tune hyperparameters, and evaluate results.
Visualize and document insights: Create impactful visuals and thorough documentation.
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.