Data Science in Finance Course
What will I learn?
Unlock the power of data science in finance with our comprehensive course designed for technology professionals. Dive into essential topics like data collection, preprocessing, and feature engineering for time series. Master machine learning models, including LSTM and ARIMA, to enhance predictive accuracy. Explore data visualisation, pattern identification, and model interpretation to drive informed decision-making. Gain practical skills to transform financial data into actionable insights, all through concise, high-quality lessons.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master data collection and cleaning for accurate financial insights.
Train and evaluate machine learning models for finance.
Visualise data to uncover trends and patterns in financial datasets.
Engineer features for time series analysis in 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.