Statistics is the science of assigning a probability to an event based on experiments. It is the application of quantitative principles to the collection, analysis, and presentation of numerical data. Students will learn the fundamentals of Data Science, statistics, and Machine Learning with this course. It will enable students to define statistics and essential terms related to it, explain central tendency and dispersion measures, and comprehend skewness, correlation, regression, and distribution. Students will be able to make data-driven predictions through statistical inference.
Data Science is the highly sought field of the century. Explore the truth about what Data Science is and hear from real practitioners telling real stories about what it means to work in Data Science and use cases for the same.
Students to gain insight into the R Programming language with this introductory course. An essential programming language for data analysis, R Programming is a fundamental key to becoming a successful Data Science professional. In this course students will learn how to write R code, learn about R’s data structures, and create your own functions. After the completion of this course, students will be fully able to begin their first data analysis.