Course description

Descriptive Statistics & Data Analysis involves summarizing and interpreting data to uncover patterns and insights. It includes techniques like mean, median, mode, standard deviation, and range to describe data characteristics. Data analysis helps identify trends, correlations, and anomalies, making it easier to make informed decisions. Tools like histograms, bar charts, and scatter plots are commonly used for visualizing data distributions. Descriptive statistics is a foundational step in exploring and understanding data before performing more advanced statistical analysis.

What will i learn?

• CO1 Can achieve the concepts of sampling which can apply to business decision
• CO2 Can apply the concepts of discrete and continuous probability distributions to make the prediction to the real-life application
• CO3 Compute probabilities based on practical situations using the Binomial, Poisson and Normal distributions.