Data Analytics I

Description

Students will learn the following 1-Introduction to Statistics & Analytics 2 -What is Statistics? 3 -Types of Data, Data Collection and Sampling 4- Analyzing Data 5- Graphical Descriptive Techniques - Nominal Data 6- Graphical Descriptive Techniques - Numerical Data 7- Measures of Central Locations 8- Measures of Variability 9- Measures of Relative Standings 10- Probability & Chance Random Variables and Discrete Probability Distributions Random Variables and Continuous Probability Distributions Estimation & Hypothesis Testing 11- Statistical Inference and Sampling Distribution Estimation - Single Population 12 -Hypothesis Testing 13- Estimation - Two Populations 14 -Correlation and Regression 15 -Linear Regression Mode

Program

Digital and Sustainable Business Economics

Objectives

• The course aims to focus on concepts, reasoning, interpretation and thinking rather than computation, formulae and theory. Much of the work will require students to write effectively and communicate their ideas with clarity.