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Artificial Intelligence Data Science Course
Improve your Business Intelligence skills with our Artificial Intelligence Data Science Course. Delve into feature engineering for time series data, master data preprocessing techniques, and explore advanced forecasting models like LSTM, ARIMA, and Prophet. Learn how to interpret results effectively, communicate insights clearly, and understand the business implications. Boost your skills with practical, high-quality content designed for immediate application in the Namibian context. Join now and turn data into strategic business decisions.
- Master feature engineering: Enhance data with time-based and external factors relevant to Namibia.
- Communicate insights: Deliver clear and impactful business intelligence results.
- Analyse data trends: Identify patterns for strategic decision-making.
- Implement forecasting models: Use LSTM, ARIMA, and Prophet effectively.
- Optimize models: Boost performance with hyperparameter tuning and evaluation.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Improve your Business Intelligence skills with our Artificial Intelligence Data Science Course. Delve into feature engineering for time series data, master data preprocessing techniques, and explore advanced forecasting models like LSTM, ARIMA, and Prophet. Learn how to interpret results effectively, communicate insights clearly, and understand the business implications. Boost your skills with practical, high-quality content designed for immediate application in the Namibian context. Join now and turn data into strategic business decisions.
Elevify advantages
Develop skills
- Master feature engineering: Enhance data with time-based and external factors relevant to Namibia.
- Communicate insights: Deliver clear and impactful business intelligence results.
- Analyse data trends: Identify patterns for strategic decision-making.
- Implement forecasting models: Use LSTM, ARIMA, and Prophet effectively.
- Optimize models: Boost performance with hyperparameter tuning and evaluation.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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