AI Data Science Course
What will I learn?
Unlock di power weh data get wit wi AI Data Science Course, weh we tailor for Business Intelligence people dem. Enter inside data exploration tactics to find missing values and see patterns. Master feature engineering and preprocessing ways dem for mek data quality betta. Learn how to train model, validate am, and use evaluation metrics like MAE and RMSE. Get deep understanding of AI model selection, weh e include LSTM, Random Forest, and ARIMA models. Change data to business recommendations weh e fit work and drive success.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Master data exploration: Find patterns and anytin weh no follow rule inside datasets.
Develop insights: Formulate business recommendations weh e fit work.
Engineer features: Create and choose data features weh e get impact.
Train AI models: Implement model training and validation weh e dey effective.
Evaluate models: Compare how dem dey perform 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.