Data Science in Finance Course
What will I learn?
Unlock the power of data science in finance with our comprehensive course, specially adapted for technology professionals in Ireland. Delve into key areas such as data gathering, preparation, and feature engineering, particularly for time series analysis. Become proficient in machine learning models, including LSTMs and ARIMA, to improve predictive precision. Explore data visualisation, pattern recognition, and model interpretation to support well-informed decision-making. Acquire practical skills to convert financial data into actionable insights, all through succinct, top-notch lessons.
Apoia's Advantages
Develop skills
Strengthen the development of the practical skills listed below
Master data gathering and cleaning for sound financial insights.
Train and evaluate machine learning models for the financial sector.
Visualise data to identify trends and patterns in financial datasets.
Engineer features for time series analysis within financial contexts.
Interpret model predictions to enhance financial decision-making.
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.