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Data Science in Finance Course
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.
- 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.

from 4 to 360h flexible workload
certificate recognized by MEC
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.
Elevify advantages
Develop skills
- 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
Before starting, you can change the chapters and 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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