MathWorks - Exploratory Data Analysis with MATLAB
4.5 /5- Offered byCoursera
- Public/Government Institute
Exploratory Data Analysis with MATLAB at Coursera Overview
Duration | 19 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Exploratory Data Analysis with MATLAB at Coursera Highlights
- Earn a shareable certificate upon completion.
- Flexible deadlines according to your schedule.
Exploratory Data Analysis with MATLAB at Coursera Course details
- 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.
Exploratory Data Analysis with MATLAB at Coursera Curriculum
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
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