Past Event

Applied Data Science Program

January 14, 2023 - April 15, 2023
Applied Data Science Program
MIT Professional Education

Location

Online

MIT Professional Education logo


Overview

In order to help you unravel the true worth of data, MIT Professional Education offers the Applied Data Science Program, which aims to prepare data-driven decision makers for the future.

In this 12-week program, you will be able to upgrade your data analytics skills by learning the theory and practical application of supervised and unsupervised learning, time-series analysis, neural networks, recommendation engines, regression, and computer vision, to name a few.

Participant Takeaways 

  • Understand the intricacies of data science techniques and their applications to real-world problems.
  • Implement various machine learning techniques to solve complex problems and make data-driven business decisions.
  • Explore the realms of Machine Learning, Deep Learning, and Neural Networks, and how they can be applied to areas such as Computer Vision.
  • Develop strong foundations in Python, mathematics, and statistics for data science.
  • Understand the theory behind recommendation systems and explore their applications to multiple industries and business contexts.
  • Build an industry-ready portfolio of projects to demonstrate your ability to extract business insights from data.

 

For more information, please visit the MIT Professional Education course listing here.

  • Overview

    In order to help you unravel the true worth of data, MIT Professional Education offers the Applied Data Science Program, which aims to prepare data-driven decision makers for the future.

    In this 12-week program, you will be able to upgrade your data analytics skills by learning the theory and practical application of supervised and unsupervised learning, time-series analysis, neural networks, recommendation engines, regression, and computer vision, to name a few.

    Participant Takeaways 

    • Understand the intricacies of data science techniques and their applications to real-world problems.
    • Implement various machine learning techniques to solve complex problems and make data-driven business decisions.
    • Explore the realms of Machine Learning, Deep Learning, and Neural Networks, and how they can be applied to areas such as Computer Vision.
    • Develop strong foundations in Python, mathematics, and statistics for data science.
    • Understand the theory behind recommendation systems and explore their applications to multiple industries and business contexts.
    • Build an industry-ready portfolio of projects to demonstrate your ability to extract business insights from data.

     

    For more information, please visit the MIT Professional Education course listing here.