This course is designed to provide students with a foundational understanding of statistics and how they are used in various fields. Statistics is a science that deals with the collection, analysis, interpretation, and presentation of data. It involves the use of mathematical tools and techniques to make sense of large amounts of data, allowing researchers to draw conclusions and make informed decisions.  Introduction to Statistics is a foundational course provides students with a comprehensive introduction to the basic concepts and methods of statistics. This course begins with basic concepts of statistics and types of variables. Students will learn how to collect, organize, and summarize data using various statistical techniques. They will explore measures of central tendency, dispersion, and correlation, as well as methods for data visualization. The course will then introduce students to probability theory and its applications in statistics. You will  learn  about  different  probability  distributions,  such  as  the  normal distribution, and how to calculate probabilities for various events.  Next you will learn about sampling and sapling distributions.  Also students will learn about estimation and hypothesis testing. The final part of the course focuses on correlation and simple linear regression analysis, where students will learn how to build and interpret regression models. They will explore the relationships between variables, identify correlation and causation, and make predictions based on regression analysis. Throughout the course, students will have the opportunity to apply their knowledge to real-world datasets and case studies. By the end of the course, students will have a solid understanding of statistical concepts and methods and be able to effectively analyze and interpret data. This course is essential for students pursuing degrees in all fields and for those who want to improve their analytical skills and critical thinking abilities.