Udacity

Predictive Analytics For Business

Business and Economics

Short Description

Learn essential AI concepts including search, optimization, planning, pattern recognition, and more from experts like Peter Norvig and Sebastian Thrun.

Long Description

In the course Predictive Analytics For Business on Udacity, you will learn problem-solving techniques using advanced analytics. The course covers a framework for organizing and planning your analytical approach, as well as introducing simple and multiple linear regression. You will also learn about data wrangling, including working with different data types, handling dirty data and outliers, and joining data from different sources. Classification models, such as binary and non-binary models, will be explored to drive business insights. Additionally, the course covers A/B testing for confident decision-making, time series forecasting using ETS and ARIMA models, and segmentation and clustering techniques for finding patterns in data. By combining these predictive techniques, you will gain valuable skills for business analysis.

Course Details

Duration
12 weeks
Difficulty
Intermediate
Format
Short Course
Price
USD1,197.00
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.