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image for course Common Data Analysis Techniques

Common Data Analysis Techniques

Learn common techniques for extracting information from data, including exploring relationships between variables and polynomial fitting.

Course modules

Introduction

Overview of the Course

Lessons:
  • Course Overview
  • Learning Outcomes and Prerequisites

Import Data from Common File Types

Import tabular data using the readtable function.

Lessons:
  • Import the Electricity Usage Dataset

Linear Correlation

Explore relationships between variables in a dataset with linear correlation.

Lessons:
  • Correlated Data
  • Correlation of Two Vectors
  • Correlation in Electricity Usage Matrix
  • Calculate Correlation with Missing Values
  • Test Your Knowledge

Polynomial Fitting

Model trends in data using polynomial fitting.

Lessons:
  • Polynomial Fitting
  • The polyfit and polyval Functions
  • Fit a Line
  • Center and Scale Data
  • Fit a Line to Electricity Usage

Project

Practice what you learned in the course.

Lessons:
  • Analyze Vehicle Data

Conclusion

Learn next steps and give feedback on the course.

Lessons:
  • Summary
  • Additional Resources
  • Survey

Format:Self-paced

Language:English

Language

  • Hands-on exercises with automated feedback
  • Access to MATLAB through your web browser
  • Shareable progress report and course certificate

MATLAB Onramp

Get started quickly with the basics of MATLAB.

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