Accredited With https://thecpd.group Accreditation Number #1016204
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The "Statistics for Data Analysis Using Excel" course offers a thorough grounding in both the theory and application of statistics through the practical use of Microsoft Excel. The curriculum begins with an introduction to basic statistical concepts, setting participants up with the foundational knowledge required to perform statistical calculations and data analysis using Excel. This includes an in-depth look at descriptive statistics where learners will calculate and interpret measures such as mean, mode, median, and standard deviation, essential for understanding data spread and central tendencies. As the course progresses, participants will explore various data visualization techniques including histograms, box and whisker plots, and scatter plots to effectively visualize and interpret data distributions and relationships between variables. The course also delves into probability concepts and distributions, equipping learners with the tools to handle permutations, combinations, and understand binomial and normal distributions among others. Further sections focus on understanding population and sampling methods, and conducting hypothesis tests like z-tests, t-tests, and Chi-Square tests, essential for making informed decisions based on statistical data. In its concluding sections, the course provides a comprehensive exploration of hypothesis testing and analysis of variance (ANOVA), teaching participants to conduct these tests both manually and with the aid of Excel. This hands-on approach ensures that participants are not only proficient in theoretical knowledge but also in applying these statistics in practical, real-world scenarios. By the end of the course, participants will be well-equipped to handle complex data analysis tasks, making them valuable assets in their respective fields.
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