This IntroStats course provides a complete beginner-friendly introduction to statistics and data analysis. It starts with the fundamental concepts of statistics and explains different data types and levels of measurement, helping learners understand how data is organized and interpreted.

The course then moves into frequency distributions and teaches how to build and interpret frequency tables, relative frequency tables, and cumulative frequency distributions. Students will also learn how to visualize data using histograms, bar charts, pie charts, ogives, time series graphs, and stem-and-leaf plots.

In the descriptive statistics section, learners explore measures of central tendency including mean, median, and mode, followed by measures of variation such as range, variance, and standard deviation. The course also introduces the coefficient of variation (CV) and explains its practical applications.

Advanced topics include Chebyshev’s Theorem and percentiles/quartiles, helping students understand how data is distributed and analyzed in real-world scenarios.

This course is ideal for students, beginners, and professionals who want to build strong analytical and statistical skills. It is widely applicable in business, research, economics, healthcare, and data science.

By the end of this course, learners will be able to confidently analyze datasets, interpret graphs, and apply key statistical concepts in practical situations.