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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

Get an 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 Electricity Usage Data

Quantify Relationships Between Variables with Linear Correlation

Explore relationships between variables in a data set using linear correlation.

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

Fit Polynomials to Data

Model trends in data using polynomial fitting.

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

Project

Practice what you learned in the course.

Lessons:
  • Fuel Economy Analysis

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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