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Machine Learning in Finance Course
Unlock the potential of machine learning in finance with our detailed course designed for finance professionals. Delve into key areas such as data collection, pre-processing, and time series analysis. Become proficient in machine learning models, including LSTM and ARIMA, for precise forecasting. Learn how to incorporate predictions into investment approaches and communicate findings effectively. With an emphasis on practical, high-quality content, this course provides you with the skills to convert financial data into actionable insights.
- Master data cleaning: Improve data quality using effective cleaning methods.
- Forecast with ARIMA: Predict financial trends using ARIMA models.
- Optimize hyperparameters: Fine-tune models for enhanced performance.
- Visualize insights: Develop impactful data visualisations for stakeholders.
- Integrate predictions: Apply forecasts to strategic investment choices.

flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Unlock the potential of machine learning in finance with our detailed course designed for finance professionals. Delve into key areas such as data collection, pre-processing, and time series analysis. Become proficient in machine learning models, including LSTM and ARIMA, for precise forecasting. Learn how to incorporate predictions into investment approaches and communicate findings effectively. With an emphasis on practical, high-quality content, this course provides you with the skills to convert financial data into actionable insights.
Elevify advantages
Develop skills
- Master data cleaning: Improve data quality using effective cleaning methods.
- Forecast with ARIMA: Predict financial trends using ARIMA models.
- Optimize hyperparameters: Fine-tune models for enhanced performance.
- Visualize insights: Develop impactful data visualisations for stakeholders.
- Integrate predictions: Apply forecasts to strategic investment choices.
Suggested summary
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.What our students say
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