CompTIA Data+: Inferential Statistical Methods

CompTIA    |    Intermediate
  • 18 videos | 1h 31m 6s
  • Includes Assessment
  • Earns a Badge
Rating 4.6 of 5 users Rating 4.6 of 5 users (5)
Unlike descriptive statistics, which describe characteristics of datasets, inferential statistics are used to make inferences or predictions about data. Information not readily evident by analyzing datasets can be gleaned by talented data analysts in order to form conclusions, and while it may sound like educated guessing, descriptive statistics are far more sophisticated than simply guessing. In this course, you will explore inferential statistical methods, identifying the purpose of inferential statistics and comparing them to descriptive statistics. Then you will investigate and perform inferential statistical methods such as t-tests, z-score, p-values, and chi-square. Finally, you will focus on hypothesis testing, simple linear regression, and correlation testing. This course can be used to prepare for CompTIA Data+ (DA0-001) exam.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Identify the purpose of inferential statistics
    Outline key similarities and differences between descriptive and inferential statistics
    Identify the purpose of hypothesis testing and define type i and type ii errors
    Perform hypothesis testing using a dataset
    Provide an overview of t-tests in data analytics
    perform t-tests using a dataset
    Describe the purpose of z-score in data analytics
    Perform z-score analysis using a dataset
  • Outline the purpose of p-values in data analytics
    Perform a p-value analysis using a dataset
    Outline chi-square analysis in data analytics and describe null and alternative hypothesis
    Perform a chi-square analysis using a dataset
    Outline the purpose of simple linear regression in data analytics
    Perform regression analysis using a dataset
    Provide an overview of correlation in data analytics
    Perform correlation testing using a dataset
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 6m 17s
    After completing this video, you will be able to identify the purpose of inferential statistics. FREE ACCESS
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    3.  Descriptive vs. Inferential Statistics
    6m 25s
    Upon completion of this video, you will be able to outline key similarities and differences between descriptive and inferential statistics. FREE ACCESS
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    4.  Hypothesis Testing
    10m 34s
    After completing this video, you will be able to identify the purpose of hypothesis testing and define Type I and Type II errors. FREE ACCESS
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    5.  Performing Hypothesis Testing
    5m 10s
    During this video, you will learn how to perform hypothesis testing using a dataset. FREE ACCESS
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    6.  T-tests
    4m 46s
    Upon completion of this video, you will be able to provide an overview of t-tests in data analytics. FREE ACCESS
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    7.  Performing T-tests
    3m 28s
    Find out how to perform t-tests using a dataset. FREE ACCESS
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    8.  Z-score
    5m 8s
    After completing this video, you will be able to describe the purpose of z-score in data analytics. FREE ACCESS
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    9.  Performing Z-score Analysis
    3m 44s
    In this video, discover how to perform z-score analysis using a dataset. FREE ACCESS
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    10.  P-values
    6m 7s
    Upon completion of this video, you will be able to outline the purpose of p-values in data analytics. FREE ACCESS
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    11.  Performing P-value Analysis
    4m 58s
    Learn how to perform a p-value analysis using a dataset. FREE ACCESS
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    12.  Chi-square
    4m 10s
    After completing this video, you will be able to outline chi-square analysis in data analytics and describe null and alternative hypothesis. FREE ACCESS
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    13.  Performing Chi-square Analysis
    4m 29s
    In this video, find out how to perform a chi-square analysis using a dataset. FREE ACCESS
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    14.  Simple Linear Regression
    5m 22s
    Upon completion of this video, you will be able to outline the purpose of simple linear regression in data analytics. FREE ACCESS
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    15.  Performing Regression Analysis
    6m 17s
    Discover how to perform regression analysis using a dataset. FREE ACCESS
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    16.  Correlation
    7m 14s
    After completing this video, you will be able to provide an overview of correlation in data analytics. FREE ACCESS
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    17.  Performing Correlation Testing
    5m 20s
    Learn how to perform correlation testing using a dataset. FREE ACCESS
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    18.  Course Summary
    38s
    In this video, you will summarize the key concepts covered in this course. FREE ACCESS

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