Data Science Project: MATLAB for the Real World

This course is part of Practical Data Science with MATLAB Specialization

Instructors: Michael Reardon +7 more

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What you'll learn

  •   Apply a full data science workflow, including importing & cleaning data, creating features, training machine learning models, & evaluating results
  •   Effectively communicate results by identifying your target audience & creating meaningful visualizations
  •   Create a final report that includes text, code, & visualizations to share with colleagues
  • Skills you'll gain

  •   Matlab
  •   Data Storytelling
  •   Data Visualization
  •   Technical Communication
  •   Applied Machine Learning
  •   Data Science
  •   Feature Engineering
  •   Data Processing
  •   Exploratory Data Analysis
  •   Data Cleansing
  •   Data Analysis
  •   Predictive Modeling
  •   Statistical Reporting
  •   Machine Learning
  •   Data Manipulation
  •   Data Import/Export
  • There are 4 modules in this course

    To complete the project, you must have mastery of the skills covered in other courses in the specialization. The project will test your ability to import and explore your data, prepare the data for analysis, train a predictive model, evaluate and improve your model, and communicate your results.

    Create and Evaluate Features

    Apply Machine Learning

    Communicate Your Results

    Explore more from Data Analysis

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