Statistics for Data Science and Business Decisions

Statistics for Data Science and Business Decisions

The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is required to make correct and relevant interpretations of data. Lack of this knowledge could lead to erroneous decisions which could potentially have negative consequences for a firm. This course is designed to introduce you to Business Statistics.

Course Contents include:

Basic Data Descriptors

• Categories of descriptive data

• Measures of central tendency

• Measures of Dispersion

• Standard deviation measure and Chebyshev’s theorem

Descriptive Measures of Association, Probability, and Statistical Distributions

• Measures of association, the covariance and correlation measures

• Causation versus correlation

• Probability and random variables

• Discrete versus continuous data

• Introduction to statistical distributions

The Normal Distribution

Working with Distributions, Normal, Binomial, Poisson

• Applications of the Normal distribution

• The Binomial and Poisson distributions

• Sample versus population data

• Central Limit Theorem

Regression Analysis

Welcome to this course.

Master Statistics for Data Science and Business Decisions.

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What you will learn

• Master the fundamentals of Statistics for making effective business decisions

Rating: 3.75

Level: All Levels

Duration: 3.5 hours

Instructor: Abhishek Kumar