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Data Science in Finance Course

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What will I learn?

Unlock the potential of data science in finance with our comprehensive course, crafted for tech professionals. Delve into crucial topics like data gathering, preparation, and feature engineering specifically for time series data. Become proficient in machine learning models, including LSTM and ARIMA, to improve prediction accuracy. Explore data visualisation, pattern identification, and model interpretation to facilitate well-informed decision-making. Acquire practical skills to transform financial data into actionable insights, all through concise, high-quality modules.

Apoia's Unique Features

Lifetime access to online courses
Certificate adhering to educational standards
Printable PDF summaries
Online support available at all times
Select and arrange the chapters you wish to study
Customize your course schedule
Instant feedback on practical activities
Study at your convenience, without needing an internet connection

Develop skills

Strengthen the development of the practical skills listed below

Become skilled in data collection and cleaning for precise financial insights.

Develop proficiency in training and evaluating machine learning models for financial applications.

Master the visualisation of data to discover trends and patterns in financial datasets.

Develop expertise in feature engineering for time series analysis within financial contexts.

Learn to interpret model predictions to improve financial decision-making processes.

Suggested summary

Workload: between 4 and 360 hours

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

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.