All Courses

Develop deep knowledge in Data-Driven CAE

Understanding of Full Vehicle
Analysis using Data Science Technologies

Explain what Data Analytics is and the key steps in the Data Analytics process

Explain the use for different types of data repositories, the ETL process, and Big Data platforms

Take a “real-life” problem and abstract out the pertinent aspects necessary to solve it in an algorithmic manner.

Formulate formal solutions to well-defined problems using the logic of a programming language.

The basics of machine learning

How to perform cross-validation to avoid overtraining

Several popular machine learning algorithms

How to build a recommendation system

Understand principles behind machine learning problems such as classification, regression, clustering, and reinforcement learning

Choose suitable models for different applications

Parallel computing can be done thus reducing overheads.

Models can be trained on a huge amount of data and the model gets better with more data.