Statistics for Data Science and Business Analytics
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Welcome to the best online course on Statistics for Data Science.
Statistics are used to communicate data. With the help of Statistics understand the data and communicate our confidence in the statements.
Statistics for Data Science course is designed to give knowledge of the basic principles of statistical methods and concepts of statistical analysis using the Python programming language. This is a complete course on Statistics with Python and Data Science along with examples.
In this course, you will cover:
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Introduction to the Statistics.
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Introduction to the Probability.
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Learn about the Descriptive Statistics concepts.
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Learn about the Random Variables in Statistics.
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Learn about Statistical Distribution in this course.
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Learn about the Inferential Statistics topics.
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Learn about the Correlations in the course.
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Learn about the different Sampling Methods in the course.
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Learn about the different types of Stochastic Processes.
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Learn about the Regression in Statistics.
Not only this, you will get to attempt quizzes to test your knowledge. You will also have access to all the resources such as PPT and coding files used in this course.
Instructor Support – Quick Instructor Support for any queries.
I’m looking forward to see you in the course!
Enroll now and make the best use of this course.
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Continuous vs Discrete Distributions -
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Types of Continuous and Discrete Distributions
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Uniform Distribution
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Bernoulli Distribution
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Binomial Distribution
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Poisson Distribution
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Introduction to Normal Distribution
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Importance of Normal Distribution
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Concept of Skewness
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Using QQ Plots to check Normal Distribution
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Kurtosis
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Quiz on Statistical Distributions
