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. Learn the important stuff like data collection, preprocessing, and feature engineering for time series data. Become a master of machine learning models, including LSTM and ARIMA, to make your predictions even more spot-on. Check out data visualisation, spot patterns, and understand how the models work, all to help you make better decisions. Pick up practical skills to turn financial data into useful insights, all through lessons that are concise and top-notch.
Apoia's Unique Benefits
Build skills
Enhance your practical skills in the areas listed below
Become a master at data collection and cleaning to get accurate insights on financial data.
Train and evaluate machine learning models for finance applications.
Visualise data to see the trends and patterns in financial datasets.
Engineer features specifically for time series analysis in finance.
Understand what the model predictions mean to help make better financial decisions.
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 it offers practical and relevant knowledge for your professional journey.