MathWorks
Practical Data Science with MATLAB Specialization
MathWorks

Practical Data Science with MATLAB Specialization

Sam Jones
Isaac Bruss
Cris LaPierre

Instructors: Sam Jones

Sponsored by IEM UEM Group

27,104 already enrolled

Get in-depth knowledge of a subject
4.8

(913 reviews)

Beginner level

Recommended experience

2 months
at 4 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.8

(913 reviews)

Beginner level

Recommended experience

2 months
at 4 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Analyze large datasets & calculate statistics on specific groups in the data

  • Use interactive tools to investigate your data & remove noise and outliers

  • Create & evaluate machine learning models

  • Create reports & interactive documents to share your work

Details to know

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Taught in English

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Specialization - 4 course series

Exploratory Data Analysis with MATLAB

Course 116 hours4.8 (807 ratings)

What you'll learn

  • Import large tabular datasets & customize the import options for your application

  • Extract subsets of data & compute statistics on groups of related data

  • Create customized visualizations to highlight the most relevant results from your analysis

  • Use interactive tools to explore, analyze, & visual data with automated code generation for reproducing results

Skills you'll gain

Category: Matlab
Category: Data Analysis
Category: Data Science
Category: Correlation Analysis
Category: Probability & Statistics
Category: Statistical Analysis
Category: Statistics
Category: Data Visualization
Category: Data Import/Export
Category: Descriptive Statistics
Category: Mathematics and Mathematical Modeling
Category: Applied Mathematics
Category: Data Presentation
Category: Plot (Graphics)
Category: Data Manipulation
Category: Exploratory Data Analysis
Category: Data Wrangling
Category: Analytics
Category: Statistical Methods
Category: Statistical Visualization

Data Processing and Feature Engineering with MATLAB

Course 220 hours4.7 (341 ratings)

What you'll learn

  • Prepare data for further analysis by removing noise, identifying outliers, & merging data from multiple sources

  • Create and evaluate features for machine learning applications

  • Explore special techniques for handling textual, audio, & image data

  • Perform unsupervised machine learning

Skills you'll gain

Category: Feature Engineering
Category: Data Analysis
Category: Applied Machine Learning
Category: Data Science
Category: Data Processing
Category: Exploratory Data Analysis
Category: Data Wrangling
Category: Matlab
Category: Data Transformation
Category: Statistics
Category: Data Mining
Category: Data Manipulation
Category: Unstructured Data
Category: Anomaly Detection
Category: Data Engineering
Category: Advanced Analytics
Category: Data Cleansing
Category: Data Validation
Category: Dimensionality Reduction
Category: Data Quality

Predictive Modeling and Machine Learning with MATLAB

Course 318 hours4.8 (116 ratings)

What you'll learn

  • Apply a full machine learning workflow, from cleaning data to training & evaluating models using a real-world dataset

  • Use apps to quickly train many machine learning models to find the best approach for your application

  • Customize training using cost matrices to emphasize important classes

Skills you'll gain

Category: Predictive Analytics
Category: Statistical Modeling
Category: Predictive Modeling
Category: Machine Learning
Category: Applied Machine Learning
Category: Regression Analysis
Category: Matlab
Category: Statistics
Category: Data Analysis
Category: Analytics
Category: Supervised Learning
Category: Advanced Analytics
Category: Mathematics and Mathematical Modeling
Category: Machine Learning Methods
Category: Feature Engineering
Category: Machine Learning Algorithms
Category: Mathematical Modeling
Category: Machine Learning Software
Category: Applied Mathematics
Category: Statistical Machine Learning

Data Science Project: MATLAB for the Real World

Course 413 hours4.7 (25 ratings)

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

Category: Machine Learning
Category: Exploratory Data Analysis
Category: Data Analysis
Category: Data Science
Category: Statistics
Category: Feature Engineering
Category: Applied Machine Learning
Category: Interactive Data Visualization
Category: Matlab
Category: Statistical Modeling
Category: Data Presentation
Category: Dashboard
Category: Analytics
Category: Data Visualization
Category: Predictive Modeling
Category: Predictive Analytics
Category: Business Analytics
Category: Advanced Analytics
Category: Mathematical Modeling
Category: Data Storytelling

Instructors

Sam Jones
MathWorks
3 Courses33,455 learners

Offered by

MathWorks

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