Earn a Professional Learning Certificate in Applying Statistics and Hypothesis Testing
This comprehensive Hypothesis Testing Training course offered by JuranX is designed to equip students with essential skills in data analysis, statistical literacy, and evidence-based decision-making. The intermediate-level course covers a wide range of topics, from fundamental probability and statistics concepts to advanced hypothesis testing techniques. By engaging in this course, learners will develop critical thinking skills, enhance their problem-framing abilities, and master data interpretation techniques crucial for various professional fields.
Students will gain proficiency in hypothesis testing, a powerful tool for continuous improvement and structured decision-making. The course covers key statistical concepts, including confidence intervals, categorical data analysis, normality tests, variance tests, t-Tests, ANOVA, and correlation and regression. Additionally, learners will become adept at using Minitab software for statistical analysis, enabling them to apply their knowledge in real-world scenarios.
This intermediate-level course has no specific prerequisites, making it accessible to a wide range of learners. However, basic knowledge of mathematics and familiarity with data analysis concepts would be beneficial.
This course is ideal for professionals, researchers, and students in fields such as manufacturing, business, healthcare, and research who want to enhance their analytical skills and decision-making capabilities. It is particularly suited for those looking to improve their statistical literacy, data interpretation techniques, and evidence-based decision-making abilities.
The skills acquired in this hypothesis-testing training course have numerous practical applications:
By mastering these skills, learners will be well-equipped to tackle complex problems, drive innovation, and make data-driven decisions in their respective fields, giving them a competitive edge in today's job market.
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Test your knowledge and ability to apply the concepts and methods from the four courses included in the LSE MicroBachelors program in Statistics Fundamentals and take your first step towards further study at undergraduate level or upskill in high-growth careers.
This course covers two important methodologies in statistics – confidence intervals and hypothesis testing. Confidence intervals allow us to make probabilistic statements such as: “We are 95% sure that Candidate Smith’s popularity is 52% +/- 3%.” Hypothesis testing allows us to pose hypotheses and test their validity in a statistically rigorous way. For instance, “Does a new drug result in a higher cure rate than the old drug?"
Earn a Professional Learning Certificate in Applying Statistics and Hypothesis Testing
'Statistical and Probabilistic Foundations of AI' provides an accessible overview of the mathematics and statistics behind fundamental concepts of data science, machine learning, and artificial intelligence. It covers descriptive and exploratory data analysis and a brief introduction to inferential statistics. It provides the principles of probability necessary to understand the methods used in inferential statistics and machine learning at an introductory level.
The first in a series of four courses which help you to master statistics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.
Test your knowledge and ability to apply the concepts and methods from the four courses included in the LSE MicroBachelors program in Mathematics and Statistics Fundamentals and take your first step towards further study at undergraduate level or upskill in high-growth careers.
