Modern enterprises capture significant amounts of data about its customers, suppliers, and partners. The challenge, however, is to transform this vast data repository into actionable business intelligence. This course introduces predictive analytics tools that can provide valuable business insights. Analysis tools include decision trees, neural networks, market basket analysis, and discriminant analysis. Both data cleaning and analyses will be discussed and applied to sample data.
Predictive Analytics
您将获得的技能
要了解的详细信息
可分享的证书
添加到您的领英档案
最近已更新！
September 2025
作业
27 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
该课程共有9个模块
Welcome to Predictive Analytics! Module 1 introduces the R programming environment and the basics of writing code in R.
涵盖的内容
10个视频6篇阅读材料4个作业1个讨论话题1个非评分实验室
In Module 2, you will learn the basics of Classification and understand the working of the kNN classifier.
涵盖的内容
9个视频4篇阅读材料4个作业1个非评分实验室
To effectively learn Naive Bayes classification, this module will cover both the theoretical foundations and the practical implementation in R.
涵盖的内容
5个视频3篇阅读材料3个作业1个非评分实验室
In order to understand the working of the Decision Tree as a classifier , we will need to grasp how this algorithm makes decisions and classifies new data points based on patterns it learned from training data.
涵盖的内容
5个视频3篇阅读材料3个作业1个非评分实验室
This module focused on "Using Artificial Neural Networks (ANNs) as a classifier" aims to provide a comprehensive understanding of how these powerful, biologically inspired models can be applied to categorize data.
涵盖的内容
6个视频3篇阅读材料3个作业1个非评分实验室
This module, "Classification using Support Vector Machines (SVMs)", will equip you with a deep understanding of this powerful machine learning algorithm and its application in classifying data.
涵盖的内容
4个视频3篇阅读材料3个作业1个非评分实验室
This module on "Clustering" aims to introduce you to the powerful world of unsupervised learning, where the goal is to discover inherent groupings within unlabeled data.
涵盖的内容
4个视频3篇阅读材料3个作业1个非评分实验室
Mining frequent item sets and association rules is a popular and well researched approach for discovering interesting relationships between variables in large databases.
涵盖的内容
4个视频3篇阅读材料3个作业1个非评分实验室
This module contains the summative course assessment that has been designed to evaluate your understanding of the course material and assess your ability to apply the knowledge you have acquired throughout the course.
涵盖的内容
1个作业
位教师
从 Business Essentials 浏览更多内容
状态：预览O.P. Jindal Global University
状态：免费试用University of Minnesota
状态：免费试用Dartmouth College
状态：免费试用University of Colorado Boulder
人们为什么选择 Coursera 来帮助自己实现职业发展
Felipe M.
自 2018开始学习的学生
''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'
Jennifer J.
自 2020开始学习的学生
''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'
Larry W.
自 2021开始学习的学生
''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'
Chaitanya A.
''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'
常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
更多问题
提供助学金，