Applied Data Science Program

October 23, 2021 - January 22, 2022
Applied Data Science Program
MIT Professional Education


Location

Live Virtual

MIT Professional Education logo


Overview

In this program that lasts for 12 weeks, 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.

Upon successful fulfillment of requirements, you will receive a certificate of completion from MIT Professional Education at the end of the program.

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.

Prerequisites: Basic knowledge of Computer Programming and Statistics

 

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

  • Overview

    In this program that lasts for 12 weeks, 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.

    Upon successful fulfillment of requirements, you will receive a certificate of completion from MIT Professional Education at the end of the program.

    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.

    Prerequisites: Basic knowledge of Computer Programming and Statistics

     

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

Register