Statistics for Data Science and Business Decisions

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  • Statistics for Data Science and Business Decisions
    Statistics for Data Science and Business Decisions
    Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 2.94 GB
    Genre: eLearning Video | Duration: 34 lectures (3 hour, 26 mins) | Language: English

Statistics for Data Science and Business Decisions Statistics for Data Science and Business Decisions Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 2.94 GB Genre: eLearning Video | Duration: 34 lectures (3 hour, 26 mins) | Language: English Master Statistics for Data Science and Business Decisions What you'll learn Master the fundamentals of Statistics for making effective business decisions Requirements No Description 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. Who this course is for: Data scientists, Business analysts, statistics students Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
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