These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background. This intermediate-level course is useful to anyone who needs to combine data from multiple sources or times and has an interest in modeling. In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling. You will be able to visualize the location of these events on a geographic map and create sliding controls allowing you to quickly visualize how a phenomenon changes over time. In your last assignment, you will combine these skills to assess damages following a severe weather event and communicate a polished recommendation based on your analysis of the data. To be successful in this course, you should have some knowledge of basic statistics (e.g., histograms, averages, standard deviation, curve fitting, interpolation).īy the end of this course, you will be able to load data into MATLAB, prepare it for analysis, visualize it, perform basic computations, and communicate your results to others. These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background is required. You will also use interactive documents, called live scripts, to capture the steps of your analysis, communicate the results, and provide interactive controls allowing others to experiment by selecting groups of data.
#MATLAB COURSE FREE CODE#
You will learn to use MATLAB to automatically generate code so you can learn syntax as you explore. You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. In this course, you will learn to think like a data scientist and ask questions of your data.
#MATLAB COURSE FREE FREE#
You will be provided with free access to MATLAB for the duration of the specialization to complete your work. MATLAB is the go-to choice for millions of people working in engineering and science, and provides the capabilities you need to accomplish your data science tasks. Throughout this specialization, you will be using MATLAB. To be successful in completing the courses, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation). This specialization assumes you have domain expertise in a technical field and some exposure to computational tools, such as spreadsheets. Being able to visualize, analyze, and model data are some of the most in-demand career skills from fields ranging from healthcare, to the auto industry, to tech startups.
#MATLAB COURSE FREE SOFTWARE#
Many courses are self-paced so you can enroll and start learning today.Do you find yourself in an industry or field that increasingly uses data to answer questions? Are you working with an overwhelming amount of data and need to make sense of it? Do you want to avoid becoming a full-time software developer or statistician to do meaningful tasks with your data?Ĭompleting this specialization will give you the skills and confidence you need to achieve practical results in Data Science quickly. In addition to MATLAB software and programming courses, edX offers free online courses in math, data visualization and much more. It is proof for employers and others that you have successfully completed the course. The certificate lists edX and the name of the university or institution offering the course and can be uploaded to your LinkedIn profile. Additionally, edX offers the option to pursue verified certificates in MATLAB courses. The short, self-paced courses are free and will help you get up and running quickly.Įdx courses help you learn and use MATLAB programming in an engaging and effective online environment complete with video tutorials, quizzes and more. Courses are available in English, French and German and cover MATLAB basics such as writing a MATLAB function or making a MATLAB plot diagram. Get an introduction to MATLAB online with courses from École Polytechnique Fédérale de Lausanne and the Technical University of Munich. MATLAB Simulink is a graphical programming environment which, when used together with MATLAB, allows developers and designers to model and test systems prior to production. MATLAB is a programming language developed by MathWorks that is used for numerical computing tasks including matrix manipulations, data visualizations, and advanced mathematical computations.
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