Data Science in Finance Course
What will I learn?
Unlock the power of data science in finance with our thorough course designed for technology professionals. Dig deep into important topics like data collection, cleaning, and feature engineering for time series data. Master machine learning models, including LSTM and ARIMA, to make better predictions. Explore data visualisation, spot patterns, and understand how models work to help make good decisions. Get practical skills to turn financial data into useful information, all through clear and top-notch lessons.
Apoia's Unique Features
Develop skills
Enhance the growth of the practical skills listed below
Get good at data collection and cleaning to get correct financial insights.
Train and test machine learning models for finance.
Use visuals to discover trends and patterns in financial datasets.
Create features for time series analysis in financial situations.
Understand model predictions to improve financial decision-making.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Select which chapter to commence with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You’ll be able to generate additional chapters similar to the examples below
This is a free course focused on personal and professional growth. It does not equate to a technical, undergraduate, or postgraduate qualification, but offers practical and relevant knowledge for your professional journey.