Cover image of Introduction to Computational Thinking and Data Science

Introduction to Computational Thinking and Data Science

Introduction to Computational Thinking and Data Science

Ranked #1

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Lecture 9: Understanding Experimental Data

Lecture 9: Understanding Experimental Data

Prof. Grimson talks about how to model experimental data in a way that gives a sense of the underlying mechanism and to ... Read more

10 May 2017

47mins

Ranked #2

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Lecture 10: Understanding Experimental Data (cont

Lecture 10: Understanding Experimental Data (cont

Prof. Grimson continues on the topic of modeling experimental data.

10 May 2017

50mins

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Lecture 8: Sampling and Standard Error

Lecture 8: Sampling and Standard Error

Prof. Guttag discusses sampling and how to approach and analyze real data.

10 May 2017

46mins

Ranked #4

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Lecture 7: Confidence Intervals

Lecture 7: Confidence Intervals

Prof. Guttag continues discussing Monte Carlo simulations.

10 May 2017

50mins

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Lecture 6: Monte Carlo Simulation

Lecture 6: Monte Carlo Simulation

Prof. Guttag discusses the Monte Carlo simulation, Roulette

10 May 2017

50mins

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