Statistics Fundamental for Data Science

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60 min
Private Class
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Finally, learn the statistical concepts that are fundamental to understanding data science and machine learning algorithms.


What you'll learn

Welcome to this exciting Statistics for Data Science (DS) and Machine Learning (ML) course! During this course, you will learn the statistical concepts fundamental to understanding data science and machine learning model generation. We'll introduce basic concepts such as descriptive statistics, probability, random variables, hypothesis testing, regression analysis, and exploratory data analysis (EDA). Then we will move on to more advanced topics, such as supervised learning methods lik... 
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Private sessionUp to 1 seats
Private sessionUp to 1 seats

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Learn ,data-science.data-analytics, with Uohna T | Amphy
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Uohna Thiessen, Ph.D.

Your teacher

Uohna Thiessen, Ph.D., is a consultant data scientist at Accenture in AdTech practice, working with one of the top-performing corporate tech companies (MAANG). She teaches statistics, quantitative analysis, data science, and machine learning at various U.S. institutions, including the California Institute of Technology and the Flatiron School in NYC. Machine learning models she developed in sectors such as medicine, advertising, and financial technology were designed in R, Python, and SPSS, as well as MS Azure, Google TensorFlow, and Apache PySpark. Uohna holds a Ph.D. in Epidemiology (biostatistics concentration) from Walden University and a B.Sc in biochemistry from Oakwood University. She is certified in Cloud computing and machine learning engineering through Google (GCP) and Microsoft (Azure). Dr. Uohna Thiessen is a data scientist and data science educator whose mission is to provide access to data science education to as many people as possible.










































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