Diploma in Data Analytics with Python

Name: Diploma in Data Analytics with Python
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This diploma course covers the importance and uses of data analytics in making business driven decisions in industries.

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Learning Outcomes

Upon successfull completion of this course, you will be able to:

Explain why data analytics is important in today's business environment
Explain the relationship between statistics, analytics and data science
Explain solutions to problems using the laws of probability, including the laws of addition, multiplication and conditional probability
Discuss Binomial, Poisson, Hyper geometric distributions in discrete distributions
Explain the inferences on the differences between two population means
Explain the application of quality engineering techniques and the systemic reduction of process variability
Describe engineering experiments involving several factors using the factorial design approach
Describe how ANOVA is used to analyze data from experiments
Describe the test of independence using the investment example

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