Brief Introduction
Learn hypothesis testing to improve your data science, data analytics and statistics skills in 30 minutesDescription
In this course students will learn how to apply the paired t - test, the t - test for independent samples and the f - test for equality of variances to their day to day decision making, data analytics and data science practices. This course will enable you to leverage the powerful techniques of Statistical Inference in you day to day work as a data scientist, data analyst, business manager and business analyst.
Requirements
- Requirements
- Basic understanding of data analytics
- Basic Microsoft Excel
Phikolomzi Gugwana
3.8 Raiting
People Analytics 101 : HR Analytics Fundamentals
- 4
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Conceptualize the Basics of Statistical Model Building. People analytics is also known as HR analytics or you can say talent analytics....
Probability and Statistics IV: Confidence Intervals and Hypothesis Tests
- 0.0
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This course covers two important methodologies in statistics – confidence intervals and hypothesis testing. For instance, “Does a new drug result in a higher cure rate than the old drug”?...
Inferential Statistics
- 4.4
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Inferential statistics are concerned with making inferences based on relations found in the sample, to relations in the population. Before we get started....
What are the Chances? Probability and Uncertainty in Statistics
- 0.0
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This course focuses on how analysts can measure and describe the confidence they have in their findings. Probability Theory Welcome Video...
