Statistics is the backbone of data science, machine learning, and artificial intelligence – without sound statistical reasoning data that is modeled using any of the previous ideologies may lead to incorrect models, conclusions, and decisions. This course aims to introduce statistical reasoning in the context of data science and model development. By the end of the course students will have a sound understanding of basic statistical reasoning and be able to discuss and identify common statistical pitfalls in modeling problems.
Course Curriculum
Why is Statistics Important for Data Sience?
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Why is Statistics Important for Data Sience?
17:28 -
Why is Statistics Important for Data Science? Readings
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Why is Statistics Important for Data Science? Quiz
Sampling a Population
Basic Statistics
Correlation and Causation
Events and Probability Spaces
Pitfalls in Statistical Thinking
Monte Carlo Simulation
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Description
Statistics is the backbone of data science, machine learning, and artificial intelligence – without sound statistical reasoning data that is modeled using any of the previous ideologies may lead to incorrect models, conclusions, and decisions. This course aims to introduce statistical reasoning in the context of data science and model development. By the end of the course students will have a sound understanding of basic statistical reasoning and be able to discuss and identify common statistical pitfalls in modeling problems.