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.
Overview
Syllabus
- Introduction to the Data Science Workflow
- In this module you’ll learn about the key steps in a data science workflow and begin exploring a data set using a script provided for you. As you work with the file, take note of the different elements in the script. As you progress through the course, you’ll create a similar script yourself.
- Importing Data
- In this module you’ll import data into MATLAB, customize the import options, and generate code to automate the process. You’ll also work with different types of data, such as numeric, dates, and text.
- Visualizing and Filtering Data
- In this module you’ll create visualizations and learn how to customize figures. You’ll also filter your data to select only what is needed for your analysis. You’ll create new tables and save them to use in the future or share with others outside of MATLAB.
- Performing Calculations
- In this module you’ll write small pieces of code to extend your analysis. You’ll calculate summary statistics on groups of data and determine if variables are correlated. You’ll extend your ability to filter data to defining conditions across multiple variables. You’ll also modify categorical data to remove, combine, or create new categories to use for defining groups.
- Documenting Your Work
- In this module you’ll create live scripts with interactive controls. Then you’ll create your own analysis of a weather event to submit as a peer-reviewed assignment.
Taught by
Michael Reardon, Cris LaPierre, Erin Byrne, Adam Filion, Heather Gorr, Nikola Trica, Maria Gavilan-Alfonso and Brandon Armstrong
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Reviews
5.0 rating, based on 38 Class Central reviews
4.8 rating at Coursera based on 803 ratings
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i learned a lot from the course. we can learn how to import data and how to visualize the data to make it easier to read. i really recommend this course to the beginner of matlab.
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It was an introductory course and it was not that difficult to finish.
Course was enjoyable, easy to follow and contains numerous examples.
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The course is great to begin using Matlab for data analysis. The material available is helpful to have as guidance when needing consulting. And the final project makes you understand well what are you doing.
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This course learnt me to get rid of tedious and repetitive work. it is very well organized, easy to understanding, good practice and quizes
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This course made data analysis easier than I ever imagined. The steps are detailed and easy to follow. There is also exercise and activities to practise with in order to improve on what is taught in the class.
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It was an introductory course and it was not that difficult to finish.
Course is easy to follow and contains numerous and pratical examples which you can even reuse for your own purpose. -
Good course starts of slow makes learner comfortable with MATLAB Environment.
Lots of practice problems as well included. -
邦邦来我认真学习完了这门课程，收获真的非常多，
我从一个matlab的小白，到可以使用matlab进行简单的数据分析，通过这门课程，只用了五天，我的免费体验，还有两天，我希望能学习到更多的matlab操作和更深入的数据分析和预测。
我使用过一些学习平台，但是收获不多，也许是不适合我，但是这个平台上的学习，会让我很快的投入，最重要的是不断的结合练习，让我真的可以上手操作，不仅仅是只给我讲理论。
总之非常感谢！！！ -
Jiafeng XuReally Good! This course really helped me to use MATLAB better. Taught me a lot of functions and commands for data analysis. And use live scripts to generate relevant analysis documents. This course also provides quite cutting-edge homework, such as disaster events analysis and COVID-19 data analysis, etc. Many people are using this course, so it is easy to find peer reviews and get a certificate. -
Manisha BishtIt is clear,concise and highly polished content.For a beginner, the quizzes and assignments are moderately challenging so by the time you reach the solution you have re-watched the videos,gone through the discussion forum ,read some MATLAB documentation and tried a couple of ways of doing things.Hence a lot of hands on learning along the way!
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It's very easy to follow. The examples are also relatable as they've used historical data and not just random ones. Very helpful for people who are into analysis of scientific data. This is highly recommended for beginners and experienced users alike as it will enrich your skills using the program.
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This is very well planned course for introduction of data science using MATLAB. It helps very much in getting into live scripts and automated code using it. It helps in motivating learners to use more detailed and documented project to be presented to others who are not much familiar to MATLAB.
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As an introductory course, this is a great place to start. Has all the latest features in MATLAB and the focus is on easy interaction with data which helps learn some code along the way. The course organization is excellent and the instructors make it easy to learn.
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the course is about analysis of weather events related in USA. Could had exployted other examples. Sometimes is a bit fast to explain some important things as logical operations. The content is great for begginers and maybe for intermediate level students.
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Mizanur Rahman MizanThis course is awesome, it's elaborately described with practical examples. Though its introductory course but if a learners has basic knowledge in Data Science and Matlab Basic Programming it will be very helpful for reasoning the whole topics. -
Well designed course. The final project data was deeply flawed and I don't think students would have had the skill to deal with it. Either the course designers missed something or their expectations were to high given the context.
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Harold Canchari DagaI found the course very interactive. The concepts explained go straight to the point and are very clever. As an introductory course, there is no need of basic knowledge in Data Science. I highly recommend this course -
Very friendly to beginers.
I consider myself advanced in MATLAB though I rarely have used their tables
and that would change in the future. Learned a good deal of stuff I didn't know about working with tables. -
It's a great course to dive into a MatLab environment, learn its' functionality and, of course, data science class offered within this course is very solid. The tutors and visuals are great as well!
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Excellent course! I certainly recommend this to anyone going into DATA Science applications. It captures most of the skills you require as a data Analyst leading to a Data scientist.
