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Statistics Essentials for Analytics | R Statistics | Statistics for Data Science Training | Edureka
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This Edureka video will provide you with a detailed introduction to data and statistics involved in Data Analysis. It will also provide you with detailed knowledge of Analytics to work with Entropy, Deviation, Range, Gains, Sensitivity and other statistical terms.
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About the Course
A self-paced course that helps you to understand the various Statistical Techniques from the very basics and how each technique is employed on a real-world data set to analyze and conclude insights. Statistics and its methods are the backend of Data Science to "understand, analyze and predict actual phenomena". Machine learning employs different techniques and theories drawn from statistical & probabilistic fields.
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Course Objective
After completing this Google Cloud Certification training, you should be able to :
Understanding the Data
Probability and its uses
Statistical Inference
Data Clustering
Testing the Data
Regression Modelling
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About the Course
A self-paced course that helps you to understand the various Statistical Techniques from the very basics and how each technique is employed on a real-world data set to analyze and conclude insights. Statistics and its methods are the backend of Data Science to "understand, analyze and predict actual phenomena". Machine learning employs different techniques and theories drawn from statistical & probabilistic fields.
-----------------------
Course Objective
After completing this Google Cloud Certification training, you should be able to :
Understanding the Data
Probability and its uses
Statistical Inference
Data Clustering
Testing the Data
Regression Modelling
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