Data Research and Statistical Techniques

About this course

The course will introduce you to the fundamental concepts of data research, such as quantitative and qualitative research techniques, experimental and non-experimental research approaches, and inferential tests of real-time scenarios.

As you work through the course, you’ll learn descriptive statistics, which summarise data from a sample using indexes, such as the mean or standard deviation, and inferential statistics, which draw conclusions from data that are subject to random variation (e.g., observational errors, sampling variation).

The course consists of three modules and includes demonstrations, hands-on activities, and knowledge tests at the end of each section of the course.

Course Content

Module 1: Data Research Techniques & Statistics for Data Science

Data Research Techniques; Simple Descriptive Statistics; Common Approaches to Sampling Data; Inferential Statistics

Module 2: Statistical & Hypothesis Tests

Getting Started with Hypothesis Testing; Using the One-Sample T-Test

Module 3: Data Research Techniques & Statistical Approaches

Data Research Exploration Techniques; Data Research Statistical Approaches