Udemy – Data Science for Business | 6 Real-world Case Studies 2020-9

Published on: 2021-09-10 23:49:44

Categories: 28

Description

Data Science for Business | 6 Real-world Case Studies is a training course on solving 6 business problems along with building artificial intelligence models, in-depth learning and natural language processing for sales, marketing and HR and PR projects. Data science is one of the hottest areas of technology right now, full of job opportunities; Today, data science is used in many fields such as banking, healthcare, transportation and technology. In business organizations, data science is used to optimize business processes, maximize revenue, and reduce costs. The aim of this course is to provide the knowledge needed for key aspects and applications of data science in business in a practical, easy and interesting format.

What in the Data Science for Business course | You will learn 6 Real-world Case Studies:

Development of an artificial intelligence model to reduce the cost of job search and employee training by predicting the likelihood of people leaving the job
Development of an in-depth learning model for automating and optimizing the hospital diagnosis process
Development of time series forecasting models to predict future product prices
Development of models for defect detection, classification and positioning
Optimize marketing strategies by categorizing customers
Development of natural language processing models to analyze customer feedback on social networks and identify customer intent

Course specifications

Publisher: Udemy
Instructors: Dr. Ryan Ahmed , Ph.D., MBA, Mitchell Bouchard , Stemplicity Q&A Support and Ligency Team
Language: English
Level: Average
Number of Courses: 74
Duration: 11 hours and 40 minutes

Course topics on 2021/2:

Data Science for Business | 6 Real-world Case Studies Content

Prerequisites for Data Science for Business | 6 Real-world Case Studies:

Basic knowledge of programming is recommended. However, these topics will be extensively covered during early course lectures; therefore, the course has no prerequisites, and is open to anyone with basic programming knowledge. Students who enroll in this course will master data science fundamentals and directly apply these skills to solve real world challenging business problems.