Online Course – Certified Professional Internship in Data Science with MATLAB from the MathWorks Institute

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Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Feature engineering
  • Integrating
  • Data Cleanup
  • Data Science
  • Data Analytics
  • Machine learning
  • Predictive model
  • Data visualization

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Data Scientist
  • Data Engineer
  • Systems Analyst
  • Machine learning model developer
  • Healthcare Data Analyst
  • Data Analyst in the Automotive Industry
  • Data Analyst at Tech Startups

Internship – 4-part course series

Do you work in a field where data is increasingly playing a central role in answering questions?

  • Are you dealing with huge amounts of data and need to make sense of it?
  • Do you want to avoid becoming a full-time software developer or statistician to perform meaningful tasks with your data?

Completing this internship will give you the skills and confidence you need to achieve practical results in data science quickly.

Required skills

  • The ability to visualize, analyze, and model data is one of the most sought-after skills in the job market.
  • Areas such as healthcare, the automotive industry, and technology startups.

Prerequisites

  • Knowledge in a specific technical field.
  • Familiarity with computational tools, such as spreadsheets.
  • Background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation).

Using MATLAB

  • During this internship, you will use MATLAB.
  • MATLAB is the tool of choice for millions of professionals working in engineering and science.
  • You will be given free access to MATLAB during the internship to complete your work.

Applied learning project

  • You will apply your new skills to several real-world examples, including:
    • Analysis of costs associated with severe weather events.
    • Predicting flight delays.
    • Building machine learning models.
  • The final project will give you the opportunity to apply the concepts from all courses to extract insights from raw data and build predictive models.

Details of the courses that make up the specialization

Analyzing off-the-shelf data with MATLAB

Course 1

  • 16 hours
  • 4.8 (802 ratings)

Course Details

What you’ll learn:
  • Import large, tabular datasets and customize import options for your application
  • Extracting subsets of data and calculating statistics on linked data sets
  • Create custom visualizations to highlight the most important results from your analysis
  • Use interactive tools to explore, analyze, and visualize data with automatic code generation to reproduce the results
Skills you will acquire:
  • Category: Data Analysis
  • Category: Data Visualization
  • Category: MATLAB

Data Processing and Feature Engineering with MATLAB

Course 2

  • 20 hours
  • 4.7 (339 ratings)

Course Details

What you’ll learn:
  • Prepare data for further analysis by removing noise, identifying endpoints, and merging data from different sources
  • Creating and evaluating features for machine learning implementations
  • Research into special techniques for handling textual, audio, and image data
  • Performing unsupervised machine learning
Skills you will acquire:
  • Category: Feature Engineering
  • Category: MATLAB
  • Category: Data Cleanup

Predictive Models and Machine Learning with MATLAB

Course 3

  • 18 hours
  • 4.8 (115 ratings)

Course Details

What you’ll learn:
  • Implementation of a complete machine learning process, from data processing to model training and evaluation using a real-world dataset
  • Using apps to quickly train multiple machine learning models to find the best approach for your app
  • Personalize training using cost matrices to highlight important groups
Skills you will acquire:
  • Category: Machine Learning
  • Category: MATLAB
  • Category: Predictive Models

Data Science Project: MATLAB for the Real World

Course 4

  • 13 hours
  • 4.7 (25 ratings)

Course Details

What you’ll learn:
  • Implementing a full data science process, including data import and cleaning, feature creation, machine learning model training, and results evaluation
  • Effectively communicate results by identifying your target audience and creating meaningful visualizations
  • Create a final report that includes text, code, and visualizations to share with colleagues
Skills you will acquire:
  • Category: Data Science
  • Category: Data Analysis
  • Category: Machine Learning
  • Category: MATLAB
  • Category: Predictive Models