Data Mining, Data Distributions, & Hypothesis Testing

Predictive Analytics    |    Intermediate
  • 10 videos | 37m 5s
  • Includes Assessment
  • Earns a Badge
Rating 4.2 of 84 users Rating 4.2 of 84 users (84)
Purposeful information can be extracted from large data sets to determine what has, could, or should happen. Explore descriptive, predictive, and prescriptive analytics, including data mining, distribution models, and hypothesis testing.

WHAT YOU WILL LEARN

  • Recognize key features of descriptive analytics
    Recognize key features of prescriptive analytics
    Recognize key features of data mining
    Identify important data mining concepts and techniques
    Identify data mining methods used for predictive analysis
  • Identify features of a standard normal distribution
    List features of the binomial and poisson distributions
    Recognize key features of hypothesis testing and its application
    Recognize key features of one and two-tailed hypothesis tests
    Match analytics problems to appropriate data mining methods

IN THIS COURSE

  • 4m 15s
    Upon completion of this video, you will be able to recognize key features of descriptive analytics. FREE ACCESS
  • 2m 38s
    Upon completion of this video, you will be able to recognize key features of prescriptive analytics. FREE ACCESS
  • Locked
    3.  What Is Data Mining?
    3m 13s
    Upon completion of this video, you will be able to recognize key features of data mining. FREE ACCESS
  • Locked
    4.  Data Mining Concepts and Techniques
    2m 54s
    Learn how to identify important data mining concepts and techniques. FREE ACCESS
  • Locked
    5.  Methods for Data Mining
    3m 7s
    In this video, you will identify data mining methods used for predictive analysis. FREE ACCESS
  • Locked
    6.  Distributions and the Probability Density Function
    4m
    During this video, you will learn how to identify features of a normal distribution. FREE ACCESS
  • Locked
    7.  Binomial and Poisson Distributions
    4m 48s
    After completing this video, you will be able to list features of the binomial and Poisson distributions. FREE ACCESS
  • Locked
    8.  Introduction to Hypothesis Testing
    6m 37s
    After completing this video, you will be able to recognize key features of hypothesis testing and its applications. FREE ACCESS
  • Locked
    9.  One and Two-tailed Hypothesis Tests
    3m 13s
    Upon completion of this video, you will be able to recognize key features of one-tailed and two-tailed hypothesis tests. FREE ACCESS
  • Locked
    10.  Exercise: Choose an Appropriate Data Mining Method
    2m 21s
    Find out how to match analytics problems to appropriate data mining methods. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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

Digital badges are yours to keep, forever.

YOU MIGHT ALSO LIKE

Course CompTIA Data+: Inferential Statistical Methods
Rating 4.6 of 5 users Rating 4.6 of 5 users (5)
Course CompTIA Data+: Understanding Data Manipulation
Rating 4.5 of 13 users Rating 4.5 of 13 users (13)
Book Data Engineering and Data Science: Concepts and Applications

PEOPLE WHO VIEWED THIS ALSO VIEWED THESE

Course The Language of DevOps: DevOps Principles & Practices
Rating 4.5 of 3280 users Rating 4.5 of 3280 users (3280)
Course Traditional Data Architectures: Data Warehousing and ETL Systems
Rating 4.5 of 364 users Rating 4.5 of 364 users (364)
Course CompTIA Data+: Understanding Databases
Rating 4.8 of 44 users Rating 4.8 of 44 users (44)