This comprehensive course covers fundamental spreadsheet operations, including basic calculations, data entry, and manipulation using mathematical operators and built-in functions. Students will learn data visualisation techniques using Google Looker Studio, as well as how to categorise data types and perform basic statistical analysis, including mean, median, mode, and hypothesis testing. Through hands-on exercises, participants will gain proficiency in generating frequency and cross tables, conducting t-tests and chi-square tests, and analysing correlations using both parametric and non-parametric methods. By the end of the course, students will have the skills to effectively manage and analyse data, making informed decisions based on statistical insights. Upon completion of this course student acquires NOS1,2,3,5 of Data Analysis Associate available in NQR
This course covers key concepts in Statistics including sampling distribution, estimation of parameters, testing of hypothesis and non-parametric tests. Emphasis is placed on practical applications using R or Python.
- BCM Teacher: Stephy Thomas
- BCM Teacher: Admin User
This course helps to acquire basic knowledge of various types of data, probability theory, correlation, regression and their real world applications. Additionally, spreadsheet functions are used to address numerical challenges associated with the topics discussed. This course is appropriate for all UG students