Applied Statistics for Data Analysis

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schedule7 Hours
R
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Data Analysis
Data Analysis
Advanced Analytics
Advanced Analytics

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About This Path

In this Learning Path, you will delve into the world of statistical analysis and inference. You will master the art of reasoning from sample data to population trends, exploring how multiple variables in a dataset are potentially related to one another. Using real-world datasets like the substance abuse dataset and the optical dataset, you will learn to ask and answer complex questions about different variables.
This path is not just about conducting tests, it's about crafting a story through effective data analysis and understanding the implications of your findings.

Who Should Take This Path

  • Individuals eager about analyzing data and creating insights with statistical tools.
  • Professionals who want to maximize the potential of the data assets of their organization.
  • Professionals who want to drive better business decisions using data.

What Are The Path Requirements

  • Basic understanding of statistics.
  • Comfortable with any programming language, as the concepts taught are universal across platforms.
  • Access to statistical tools for data analysis.

Introduction to Statistics for Data Analysts Cover

Introduction to Statistics for Data Analysts

Navigate data uncertainty with our practical guide. Learn to recognize, understand, and manage it effectively to make smarter decisions.

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Introduction to Statistics for Data Analysts II Cover

Introduction to Statistics for Data Analysts II

Master valid inference techniques for two-sample and two-variable data. Transform your analytical skills and answer complex data questions with confidence!

school Coursewatch_later 3 hours

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