Video: .mp4 (1280×720, 30 fps(r)) | Audio: aac, 44.1 KHz, 2 ChGenre: eLearning Video | Language: English + .srt | Duration: 6.5 hour | Size: 2.2 GBLearn how to simulate and visualize data for data science, statistics, and machine learning in MATLAB and PythonWhat you’ll learnUnderstand different categories of dataGenerate various datasets and modify them with parametersVisualize data using a multitude of techniquesGenerate data from distributions, trigonometric functions, and imagesUnderstand forward models and how to use them to generate dataImprove MATLAB and Python programming skillsRequirementsInterest in dataHigh-school mathBasic programming familiarity (MATLAB or Python)Familiarity with power spectra from the Fourier transformDescriptionData science is quickly becoming one of the most important skills in industry, academia, marketing, and science.
Most data-science courses teach analysis methods, but there are many methods; which method do you use for which data? The answer to that question comes from understanding data.
That is the focus of this course.
What you will learn in this course:You will learn how to generate data from the most commonly used data categories for statistics, machine learning, classification, and clustering, using models, equations, and parameters.
This includes distributions, time series, images, clusters, and more.
You will also learn how to visualize data in 1D, 2D, and 3D.
All videos come with MATLAB and Python code for you to learn from and adapt!This course is for you if you are an aspiring or established:Data scientistStatisticianComputer scientist (MATLAB and/or Python)Signal processor or image processorBiologistEngineerStudentCurious independent learner!What you get in this course:>6 hours of video lectures that include explanations, pictures, and diagramspdf readers with important notes and explanationsExercises and their solutionsMATLAB code and Python codeWith >4000 lines of MATLAB and Python code, this course is also a great way to improve your programming skills, particularly in the context of data analysis, statistics, and machine learning.
What do you need to know before taking this course?You need some experience with either Python or MATLAB programming. You don’t need to be an expert coder, but if you are comfortable working with variables, for-loops, and basic plotting, then you already know enough to take this course!Who this course is for:Data scientists who want to learn how to generate dataStatisticians who want to evaluate and validate methodsSomeone who wants to improve their MATLAB skillsSomeone who wants to improve their Python skillsScientists who want a better understanding of data characteristicsSomeone looking for tools to better understand dataAnyone who wants to learn how to visualize data
