Course Summary
Learn how to use MATLAB to explore and analyze data for scientific research and engineering applications.Key Learning Points
- Gain proficiency in MATLAB programming for data analysis
- Learn exploratory data analysis techniques
- Apply data analysis to scientific research and engineering problems
Job Positions & Salaries of people who have taken this course might have
- USA: $64,000
- India: ₹450,000
- Spain: €30,000
- USA: $64,000
- India: ₹450,000
- Spain: €30,000
- USA: $87,000
- India: ₹780,000
- Spain: €40,000
- USA: $64,000
- India: ₹450,000
- Spain: €30,000
- USA: $87,000
- India: ₹780,000
- Spain: €40,000
- USA: $95,000
- India: ₹1,100,000
- Spain: €50,000
Related Topics for further study
Learning Outcomes
- Gain proficiency in MATLAB programming for data analysis
- Understand exploratory data analysis techniques
- Apply data analysis to scientific research and engineering problems
Prerequisites or good to have knowledge before taking this course
- Familiarity with basic programming concepts
- Access to MATLAB software
Course Difficulty Level
IntermediateCourse Format
- Online self-paced learning
- Video lectures
- Hands-on programming exercises
Similar Courses
- Data Analysis with MATLAB
- Introduction to Data Analysis using Excel
Related Education Paths
Related Books
Description
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.
Outline
- Introduction to the Data Science Workflow
- Practical Data Science with MATLAB
- Overview of Exploratory Data Analysis with MATLAB
- Instructor Introduction
- Why Do We Need Data Science?
- MATLAB as a Data Science Tool
- How to ask Good Questions of Your Data
- Interactive Data Exploration
- Getting Started with MATLAB
- Overview of the Data Science Workflow
- The Workflow in Practice
- Summary of Module 1: The Data Science Workflow
- Use a Live Script: Explore 2013 Tornado Events
- Download and Install MATLAB
- Data and Code Files
- Introduction to Storm Events Data
- Tell us why you're here
- Quiz 1: Introduction to Data Science
- Importing Data
- Introduction to Module 2: Importing Data
- How Data is stored
- How MATLAB Represents Data
- How to Use the Import Tool
- MATLAB Data Types
- Why Automate the Import Process?
- Generating and Reusing Code
- Summary of Module 2: Importing Data
- Overview of MATLAB Data Types
- Practice Quiz
- Quiz 2: Importing Data
- Visualizing and Filtering Data
- Introduction to Module 3: Visualizing and Filtering Data
- Plotting Data Contained in Tables
- Selecting Data from Tables
- Accessing and Creating Table Variables
- Summary of Module 3: Visualizing and Filtering Data
- Practice Selecting Data
- Practice Questions
- Quiz 3: Visualizing and Accessing Data in Tables
- Performing Calculations
- Introduction to Module 4: Performing Calculations:
- Basic Mathematical Operations
- Using Vectors
- Using Functions
- Calculating Summary Statistics
- Correlations Between Variables
- Accessing Subsets of Data
- Introduction to Categorical Data
- Performing Calculations by Category
- Visualizing Results
- Summary of Module 4: Performing Calculations
- Performing Calculations
- Performing Calculations with Vectors
- Relational and Logical Operators
- Calculations by Group
- Quiz 4: Exploratory Data Analysis
- Documenting Your Work
- Documenting Your Work
- Creating a Live Script
- Adding Interactive Controls to a Live Script
- Summary of Exploratory Data Analysis with MATLAB
- Create a Live Script
- Introduction to the Final Assignment
- Complete the Course Survey
- Covid-19 Data Analysis Challenge
- Practice Communicating Your Data and Telling a Story
Summary of User Reviews
Discover the power of exploratory data analysis using MATLAB. This course is highly recommended for anyone who wants to gain a deeper understanding of data analysis. Many users praised the hands-on approach of the course.Key Aspect Users Liked About This Course
Hands-on approachPros from User Reviews
- Interactive course material
- Great explanations of concepts
- Practical examples to reinforce learning
- Excellent instructor
- Useful for beginners and experienced analysts alike
Cons from User Reviews
- Some users found the pace too slow
- The course could benefit from more advanced topics
- Limited use of MATLAB functions beyond basic data analysis
- Not much focus on data visualization
- Lack of quizzes or assessments to reinforce learning
Erin Byrne
4.8 Raiting
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