![]() ![]() The final capstone project covers the full data science workflow. As with any new skill, the key to success in data science is practice. When you find a combination you like, you'll build a model and use it to make predictions. When you reach the third course, you'll be ready to start building machine learning models using the MATLAB apps to experiment with a number of different modeling techniques and parameters. Even if you don't work with this kind of data every day, you will still find opportunities to apply the relevant concepts and apps as the need arises. This course also explores specific types of data you are likely to encounter such as audio signals, images, and text. Completing this course will give you the ability to bring together data from various sources, remove unwanted artifacts like outliers and missing data points, and start to build basic models for classification and regression. ![]() In the second course, you will build on the foundations, adding essential skills for preprocessing your data for further exploration in modeling. The corresponding code for the actions you perform appears on screen, helping you pick up the MATLAB language and to start writing full scripts yourself. The graphical tools enable you to rapidly experiment with different techniques and visualizations. This course is designed to be an entry point for learners of all skill levels. Using the graphical tools available in MATLAB, you'll produce visualizations and perform common statistical analyses. In the first course of this four-course specialization, you will learn how to explore your data. This is one of the most in-demand career skills employers are seeking today. After completing this specialization, you'll be able to build predictive models using your data. Techniques like these are essential to any company looking to remain competitive. With the right tools and a little practice, you can build models that make accurate predictions based on patterns in that data. You know your field, and you know your data. These apps reduce the time it takes to do meaningful data science work and help you get started immediately working with your data. MATLAB uses familiar mathematical notation and shapes with graphical apps that help you to rapidly iterate over common analysis tasks. MATLAB is the go-to choice for millions of professionals working in engineering and science and provides the capabilities you need to accomplish your data science tasks. Throughout the specialization, you'll be using MATLAB. Completing the specialization will give you the skills and confidence you need to achieve practical results quickly. That's why MathWorks created practical data science with MATLAB. No matter your field, having strong data science skills sets you apart and helps you to turn raw data into meaningful results. If you're considering the specialization, you've likely seen that potential in your own field. Virtually every industry has been affected. You've probably heard about how data science is revolutionizing entire fields as diverse as healthcare, automotive, consumer electronics, and many more.
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