STATISTICS FOR DATA SCIENCE AND BUSINESS DECISIONS
StatisticsComputer Training
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•Build and deploy web applications Statistics .
•Learn by example, by writing exciting programs
•Learn Statistics Programming The Fast and Easy Way!
•Different Statistics practical questions asked during real time interviews .
•Learn Statistics from scratch & understand core programming concept
•Learn Statistics ) quickly, easily and effectively by using this course
•Learn how to test your Go code with real world examples
•How to handle different types of data inside a workflow using Statistics .
•Learn Statistics from beginner to advanced level. Learn with examples and interactive sessions.
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•Post training offline support available
•25+ projects for good Learning experience
•Accessibility of adequate training resources
•We enage Experienced trainers for Quality Training
•We hire Top Technical Trainers for Quality Sessions
•Training by Proficient Trainers with more than a decade of experience
•Flexible group timings to admit freshers, students, and employed professionals
•Lifetime access to our 24×7 online support team who will resolve all your technical queries, through ticket based tracking system.
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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.
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