Hypothesis Testing

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Customer Data Analytics for Marketers (Coursera)

This course introduces marketing data analytics, focusing on the crucial concepts of correlation and causality. Learners will explore statistical concepts and tools to analyze and interpret marketing data, leading to more informed and impactful marketing strategies.

The Power of Statistics (Coursera)

May 20th 2024
The Power of Statistics (Coursera)
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This is the fourth of seven courses in the Google Advanced Data Analytics Certificate. In this course, you’ll discover how data professionals use statistics to analyze data and gain important insights. You'll explore key concepts such as descriptive and inferential statistics, probability, sampling, confidence intervals, and hypothesis testing. You'll [...]

Hypotheses Testing in Econometrics (Coursera)

In this course, you will learn why it is rational to use the parameters recovered under the Classical Linear Regression Model for hypothesis testing in uncertain contexts.

Estatística não-paramétrica para a tomada de decisão (Coursera)

Os testes estatísticos não-paramétricos são métodos que têm maior relevância nas ciências sociais aplicadas, pois permitem trabalhar com pequenas amostras ou amostras das quais não se tenha certeza de que sejam provenientes de população com distribuição normal, assumindo poucas hipóteses sobre a distribuição de probabilidade da população. [...]

Introduction to Data Science and scikit-learn in Python (Coursera)

May 20th 2024
Introduction to Data Science and scikit-learn in Python (Coursera)
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This course will teach you how to leverage the power of Python and artificial intelligence to create and test hypothesis. We'll start for the ground up, learning some basic Python for data science before diving into some of its richer applications to test our created hypothesis. We'll learn some [...]

What are the Chances? Probability and Uncertainty in Statistics (Coursera)

May 20th 2024
What are the Chances? Probability and Uncertainty in Statistics (Coursera)
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This course focuses on how analysts can measure and describe the confidence they have in their findings. The course begins with an overview of the key probability rules and concepts that govern the calculation of uncertainty measures. We’ll then apply these ideas to variables (which are the [...]

Hypothesis Testing in Public Health (Coursera)

Biostatistics is an essential skill for every public health researcher because it provides a set of precise methods for extracting meaningful conclusions from data. In this second course of the Biostatistics in Public Health Specialization, you'll learn to evaluate sample variability and apply statistical hypothesis testing [...]

Exploratory Data Analysis for Machine Learning (Coursera)

This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. You will learn common techniques to retrieve your data, clean it, apply feature engineering, and [...]

Inferential Statistical Analysis with Python (Coursera)

In this course, we will explore basic principles behind using data for estimation and for assessing theories. We will analyze both categorical data and quantitative data, starting with one population techniques and expanding to handle comparisons of two populations. We will learn how to construct confidence intervals. We will [...]

Business Applications of Hypothesis Testing and Confidence Interval Estimation (Coursera)

Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent of ‘risk’ or ‘uncertainty’ in various business processes. This course advances your knowledge about [...]