MATLAB is a high-level software for applied mathematics, and is widely used for data science, statistics, and simulations. In this course, you’ll experience an example of cleaning, analyzing, and visualizing foreign exchange rate time series signals.
In this course, you will learn foundational knowledge of time series data processing and analysis using the MATLAB software. First, you will learn how to import time series data from text and Excel files. Next, you will discover methods for cleaning data including smoothing and normalizing. Then, you will implement time-varying statistical comparisons between two foreign exchange rates. Finally, you will explore how to visualize the results and export the graphs. When you’re finished with this course, you will have an overview of time series data science workflow in MATLAB.
In this course, you will learn foundational knowledge of time series data processing and analysis using the MATLAB software. First, you will learn how to import time series data from text and Excel files. Next, you will discover methods for cleaning data including smoothing and normalizing. Then, you will implement time-varying statistical comparisons between two foreign exchange rates. Finally, you will explore how to visualize the results and export the graphs. When you’re finished with this course, you will have an overview of time series data science workflow in MATLAB.
