Brief Introduction
Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty.
Description
Probability and statistics help to bring logic to a world replete with randomness and uncertainty. This course will give you tools needed to understand data, science, philosophy, engineering, economics, and finance. You will learn not only how to solve challenging technical problems, but also how you can apply those solutions in everyday life.
With examples ranging from medical testing to sports prediction, you will gain a strong foundation for the study of statistical inference, stochastic processes, randomized algorithms, and other subjects where probability is needed.
Knowledge
- How to think about uncertainty and randomness
- How to make good predictions
- The story approach to understanding random variables
- Common probability distributions used in statistics and data science
- Methods for finding the expected value of a random quantity
- How to use conditional probability to approach complicated problems
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Logistic regression in Python tutorial for beginners. You can do Predictive modeling using Python after this course. You've found the right Classification modeling course!...
Linear Regression and Logistic Regression in Python
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Build predictive ML models with no coding or maths background. Linear Regression and Logistic Regression for beginners You've found the right Linear Regression course!...
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Data Science / Machine Learning is the most in-demand and Highest Paying job of 2017 At the end of the course you will be able to ...
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Also covered are the fundamentals of Bar Charts, Precedence Diagrams, Activity on Arrow, PERT, Range Estimating, and linear project operations and the line of balance....
