If you are looking to learn basic concepts of Statistics and Data Analysis and apply them in your workplace using Microsoft Excel, then the 'Statistics for Data Analysis Using Excel 2016' course is exactly what you need. The course is designed to help you love data and make sense of it. This guide provides all the information about the course to help you make an informed decision about signing up.
Course Description
The course provides plain and simple lessons on descriptive and inferential statistics theory with Excel examples for business and Six Sigma. The basic theory is explained first, followed by showing how MS Excel can be used to perform the calculations and apply the concepts. The course covers descriptive statistics, data visualization, probability, population and sampling, probability distributions, hypothesis testing, and ANOVA. The course is packed with various examples and data sets to explain the application of each concept.
Course Ratings and Reviews
The course has a solid rating aggregate of 4.65591, based on 5123 reviews. It is evident from the feedback provided by students that the course is very structured and clear, providing great synergy between theory and practical use. The course is recommended for anyone who is not confident in Statistics and wants to be a pro. Each lesson breaks down the difficult, sometimes boring Statistics model into easy bite-size portions, with clear explanations of the theory and the Excel way of doing it. In addition, all reviewers praised the professionally presented slides, highly detailed resources for downloads, and the easy-to-understand format of the course.
Here are some of the reviews from the students who have already taken the course:
- "Very structured and clear lessons on how each Excel function can be used for different statistical analysis. I have benefited tremendously from attending this course." - Kang Han Qi
- "He's better than all my university lecturers, very clear, concise and seamless progression of the evolution of concepts in a systematic way that makes it easy to understand...Bravo!!" - Ayanda Peter
- "Great course for learning business statistics or statistics in general." - Sudesh Pandey
Course Content
The course is divided into various sections, each covering a different area of statistics.
Descriptive Statistics
The course covers the basic concepts of descriptive statistics, including mean, mode, median, quartile, range, interquartile range, and standard deviation. The course also covers how to create three commonly used charts in data visualization: histogram, box and whisker plot, and scatter plot.
Probability
The course teaches basic concepts of probability, permutations, and combinations. All students have access to use Microsoft Excel to practice with provided data sets and examples.
Population and Sampling
In this section, students will learn the importance of population and sampling. The course explains the various sampling methods available and how to choose the right method.
Probability Distributions
The course covers normal, binomial, and Poisson distributions and how to use them to explain probability calculations.
Hypothesis Testing
The course covers one sample and two sample testing, z-test, t-test, p-test, F-test, and chi-square test.
ANOVA
The course concludes with the analysis of variance (ANOVA). The instructor walks the students through the ANOVA step by step, doing manual calculations and MS Excel.
Why You Should Take This Course
The Statistics for Data Analysis Using Excel 2016 course is arguably one of the best courses available online if you want to learn the basic concepts of statistics and implement them in your workplace using Microsoft Excel. The course has excellent ratings, thousands of positive reviews, and a step-by-step approach that is easy to follow. The course structure is designed to be easy to understand and easy to apply. Lastly, the course also comes with Udemy's 30 days money-back guarantee. So, what are you waiting for? Enroll in the course today and start loving data.
