![]() ![]() 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. 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. The final capstone project will provide you the opportunity to apply concepts from all the courses to gain insight from raw data and to build predictive models. You'll apply your new skills on several real-world examples including: analyzing costs associated with severe weather events, predicting flight delays, and building machine learning models. 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. ![]() 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. ![]()
0 Comments
Leave a Reply. |