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Вернуться к Exploratory Data Analysis with MATLAB

Отзывы учащихся о курсе Exploratory Data Analysis with MATLAB от партнера MathWorks

4.9
Оценки: 29
Рецензии: 12

О курсе

In this course, you will learn to think like a data scientist and ask questions of your data. You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. You will learn to use MATLAB to automatically generate code so you can learn syntax as you explore. 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. These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background is required. To be successful in this course, you should have some knowledge of basic statistics (e.g., histograms, averages, standard deviation, curve fitting, interpolation). By 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. 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. 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....

Лучшие рецензии

FV

Dec 10, 2019

A great course. I'm very satisfied. The course allow me use Matlab in ways that will be very helpful to my work. I'm waiting for course 2

KK

Dec 09, 2019

This course give a basic understanding of Data analysis in Matlab. Course is very fundamental and beneficial for beginners.

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1–13 из 13 отзывов о курсе Exploratory Data Analysis with MATLAB

автор: Barath N N

Nov 18, 2019

Great course!

автор: MAHAMMAD S A

Nov 09, 2019

Excellent job is done by the Mathworks team, to the point and much-needed course of the hour. Visuals were great, the pace was wonderful and the course content was intuitive and great to learn. Assignments were great too, enjoyed doing them.

автор: GM F B M

Nov 01, 2019

Good

автор: Karthik

Dec 09, 2019

This course give a basic understanding of Data analysis in Matlab. Course is very fundamental and beneficial for beginners.

автор: Soji E

Dec 07, 2019

This course demystifies MATLAB completely. The readings, videos and practicals are well organized and excellently presented. The use of real life event data makes the learning interesting. I was able to immediately apply the knowledge to my work mid way into the course.

автор: S V R K V

Dec 09, 2019

Very detailed and gets me rolling with Data Science using Matlab!!

автор: Fran V

Dec 10, 2019

A great course. I'm very satisfied. The course allow me use Matlab in ways that will be very helpful to my work. I'm waiting for course 2

автор: Luis H S

Dec 11, 2019

The explanations are clear. It has good quality content. More than teaching how to do it, it explains why to do it. One very important thing: what's requested in the assignments (homeworks) is apposite to what's explained in the lectures.

автор: Musalula S

Nov 02, 2019

Excellent course

автор: yashar k s

Dec 13, 2019

G

автор: Wayne M

Dec 07, 2019

This course is an excellent introduction to the immense power and functionality that modern Matlab offers. The content is interesting, the instructors are engaged and extremely responsive and have put an immense amount of work into what is a very high quality course. I can see this selling a lot of copies of Matlab. Well done.

автор: Venkata S N A

Dec 03, 2019

The course is basic. Good for the students.

автор: Stefano G

Dec 07, 2019

A course for absolute beginners. It covers most important key concepts in EDA. The table data structure for heterogeneous data play a central role. Many visualisations are introduced as well as the concept of internal and user defined functions. Non trivial examples with real world data.