Exploratory Data Analysis with MATLAB faq

instructor Instructor: Michael Reardon et al. instructor-icon
duration Duration: duration-icon

This course teaches students to use MATLAB to explore data, extract subsets, compute statistics, generate code, and create interactive documents to capture and communicate results. Students will gain the skills to think like a data scientist and ask questions of their data.

ADVERTISEMENT

Course Feature Course Overview Pros & Cons Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

ThaiMOOC

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

28th Aug, 2023

Course Overview

❗The content presented here is sourced directly from ThaiMOOC platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

This course, Exploratory Data Analysis with MATLAB, provides students with the opportunity to learn how to think like a data scientist and ask questions of their data. Students will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. They will also use MATLAB to automatically generate code and learn syntax as they explore. Additionally, students will use interactive documents, called live scripts, to capture the steps of their analysis, communicate the results, and provide interactive controls allowing others to experiment by selecting groups of data.

No programming background is required to be successful in this course, but some knowledge of basic statistics (e.g., histograms, averages, standard deviation, curve fitting, interpolation) is recommended. By the end of the course, students will be able to load data into MATLAB, prepare it for analysis, visualize it, perform basic computations, and communicate their results to others. The final assignment will combine these skills to assess damages following a severe weather event and communicate a polished recommendation based on the analysis of the data. Students will be able to visualize the location of these events on a geographic map and create sliding controls allowing them to quickly visualize how a phenomenon changes over time.

[Applications]
Upon completion of this course, participants will be able to apply the skills they have learned to explore data sets, visualize data, and communicate their results. They will be able to use MATLAB to automatically generate code and create interactive documents to capture the steps of their analysis. They will also be able to use MATLAB to create interactive controls to allow others to experiment with data sets.

[Career Paths]
1. Data Scientist: Data Scientists use MATLAB to analyze data and develop predictive models. They use the interactive features of MATLAB to explore data, identify patterns, and develop insights. They also use MATLAB to generate code to automate their analysis and to communicate their results. The demand for Data Scientists is growing rapidly as organizations increasingly rely on data-driven decision making.

2. Data Analyst: Data Analysts use MATLAB to explore data, identify trends, and develop insights. They use the interactive features of MATLAB to extract subsets of data and to compute statistics on groups of related data. They also use MATLAB to generate code to automate their analysis and to communicate their results. Data Analysts are in high demand as organizations increasingly rely on data-driven decision making.

3. Business Intelligence Developer: Business Intelligence Developers use MATLAB to develop interactive documents, called live scripts, to capture the steps of their analysis, communicate the results, and provide interactive controls allowing others to experiment by selecting groups of data. They use the interactive features of MATLAB to explore data, identify patterns, and develop insights. Business Intelligence Developers are in high demand as organizations increasingly rely on data-driven decision making.

4. Data Visualization Specialist: Data Visualization Specialists use MATLAB to visualize data and communicate their results. They use the interactive features of MATLAB to explore data, identify patterns, and develop insights. They also use MATLAB to generate code to automate their analysis and to communicate their results. Data Visualization Specialists are in high demand as organizations increasingly rely on data-driven decision making.

[Education Paths]
1. Bachelor of Science in Data Science: This degree program focuses on the fundamentals of data science, including data analysis, machine learning, and data visualization. Students will learn to use various tools and techniques to extract insights from data and develop predictive models. This degree is becoming increasingly popular as businesses and organizations recognize the value of data-driven decision-making.

2. Master of Science in Artificial Intelligence: This degree program focuses on the development of intelligent systems that can learn from data and make decisions. Students will learn to use various algorithms and techniques to develop autonomous systems that can interact with their environment and make decisions. This degree is becoming increasingly popular as businesses and organizations recognize the value of AI-driven decision-making.

3. Doctor of Philosophy in Machine Learning: This degree program focuses on the development of advanced machine learning algorithms and techniques. Students will learn to use various tools and techniques to develop models that can learn from data and make predictions. This degree is becoming increasingly popular as businesses and organizations recognize the value of machine learning-driven decision-making.

4. Master of Science in Data Science and Analytics: This degree program focuses on the fundamentals of data science and analytics, including data analysis, machine learning, and data visualization. Students will learn to use various tools and techniques to extract insights from data and develop predictive models. This degree is becoming increasingly popular as businesses and organizations recognize the value of data-driven decision-making.

Pros & Cons

Pros Cons
  • pros

    Good course for beginners

  • pros

    Interactive and entertaining

  • pros

    Highly professional instructors

  • pros

    Interesting and wellorganized content

  • pros

    Demystifies MATLAB

  • pros

    Real life event data

  • cons

    Requires experience with MATLAB

  • cons

    Covers subject matter too quickly

  • cons

    Quizzes and assignments moderately challenging

Course Provider

Provider ThaiMOOC's Stats at AZClass

Exploratory Data Analysis with MATLAB teaches students to use MATLAB to explore data, extract subsets, compute statistics, generate code, and create interactive documentation to obtain and communicate results. Learners can learn to use MATLAB to explore data and gain insights from it. They can learn to use interactive features to extract subsets of data and compute statistics on groups of related data. They can also learn to automatically generate code so they can learn syntax as they explore. In addition, learners can learn to use interactive documents known as live scripts to capture their analysis steps, communicate results, and provide interactive control of others' experiments.

Discussion and Reviews

0.0   (Based on 0 reviews)

Start your review of Exploratory Data Analysis with MATLAB

faq FAQ for Matlab Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: Can I take this course for free?

Yes, this is a free course offered by ThaiMOOC, please click the "go to class" button to access more details.

Q4: How many people have enrolled in this course?

So far, a total of 0 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q5: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on ThaiMOOC's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
ThaiMOOC may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Matlab courses and certifications, our extensive collection at azclass.net will help you.

close

To provide you with the best possible user experience, we use cookies. By clicking 'accept', you consent to the use of cookies in accordance with our Privacy Policy.