Udacity

Model Building and Validation

Engineering and Technology

Short Description

This course will teach you how to start from scratch in understanding and paying attention to what is important in the data and how to answer questions about data.

Long Description

In the course Model Building and Validation on Udacity, you will be introduced to the Question, Modeling, and Validation (QMV) process of data analysis. Throughout the course, you will learn the basics of each step in the QMV process and apply it to real-world scenarios. In the Question phase, you will learn how to transform vague questions into statistical ones that can be analyzed using statistics and machine learning. In the Modeling phase, you will build rigorous mathematical, statistical, and machine learning models to make accurate predictions. Finally, in the Validation phase, you will learn fundamental metrics to evaluate the performance of your models. Through analyzing various datasets, such as Twitter data, U.S. medicare data, AT&T connected cars data, and network flow logs, you will gain practical experience in applying the QMV process to solve data analysis problems.

Course Details

Duration
8 weeks
Difficulty
Advanced
Format
Short Course
Price
Free
Course Link
More Information
Udacity
Description
Udacity is an online learning platform that offers a wide range of courses and programs in various fields such as technology, business, data science, and artificial intelligence. It was founded in 2012 by Sebastian Thrun, David Stavens, and Mike Sokolsky with the aim of providing accessible and affordable education to individuals worldwide. Udacity's courses are designed in collaboration with industry experts and leading companies, ensuring that the content is relevant and up-to-date. The platform offers both self-paced courses and guided programs, allowing learners to choose the learning style that suits them best. Udacity also provides career services and support, including resume reviews, interview preparation, and job placement assistance, to help learners transition into their desired careers.