Data Mining and Decision Making: Data Mining for Answering Business Questions

Data Science 2021    |    Intermediate
  • 12 Videos | 1h 3m 13s
  • Includes Assessment
  • Earns a Badge
Likes 3 Likes 3
The data mining process provides the opportunity for businesses to collect additional information and insights that are unavailable through other everyday operations of the company. Use this course to learn more about how utilizing data mining effectively may provide a competitive advantage and additional knowledge about the market and competitors. Start by examining the essential concepts in data exploration using summary statistics and visuals and discover different data mining techniques. This course will also help you develop an understanding of the complete data mining process - data gathering, cleaning, exploration, and mining. After completing this course, you'll be able to use data mining to answer in-depth questions about any business.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    define and compare data science, data analytics and machine learning and recognize their use cases for business management
    compare the roles of machine learning engineers and data scientists
    list and define major types of machine learning used in business management
    describe the workings of a machine learning algorithm
    outline the association rules used in data mining and specify their roles
  • describe how to perform anomaly detection during data mining
    describe how to perform customer segmentation during data mining
    describe how to perform data analysis for business by showing examples of Walmart and Market Basket
    describe how to use data mining for clinical decision support through a case study
    specify the importance of utilizing Predictive Analytics for Business
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    2m 28s
    UP NEXT
  • Playable
    2. 
    Data Science, Data Analytics, and Machine Learning
    4m 27s
  • Locked
    3. 
    Machine Learning Engineer vs. Data Science
    4m 37s
  • Locked
    4. 
    Types of Machine Learning
    5m 24s
  • Locked
    5. 
    How Do Machine Learning Algorithms Work?
    4m 57s
  • Locked
    6. 
    Data Mining: Association Rules
    6m 20s
  • Locked
    7. 
    Data Mining: Anomaly Detection
    5m 25s
  • Locked
    8. 
    Data Mining: Customer Segmentation
    7m 59s
  • Locked
    9. 
    Case Study: Walmart and Market Basket Analysis
    6m 1s
  • Locked
    10. 
    Case Study: Customer Segmentation Analysis
    3m 59s
  • Locked
    11. 
    Importance of Predictive Analysis in Business
    4m 53s
  • Locked
    12. 
    Course Summary
    1m 42s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform

Digital badges are yours to keep, forever.

YOU MIGHT ALSO LIKE