Statistics Essentials Online Training

The Statistics Essentials Online Training course is a comprehensive program designed to build a strong foundation in statistical analysis, offering essential knowledge required to understand, interpret, and apply data effectively. Each module focuses on a critical aspect of statistics, providing both theoretical understanding and practical skills necessary for real-world application.

Starting with the basics, learners explore the meaning and purpose of statistics, followed by an in-depth analysis of central tendency and dispersion measures. Advanced topics such as correlation, regression, probability, and hypothesis testing are presented clearly, making them accessible to learners of all backgrounds. Additional modules focus on effective visual representation of data through charts and graphs and identify ten common mistakes made when using statistics.

This course provides valuable statistical tools and analytical techniques used in business, science, healthcare, social research, and education. It is an ideal starting point for anyone aiming to make data-driven decisions, conduct research, or enter fields where statistical competence is essential.

Learning Outcomes

• Understand basic statistical concepts and their practical applications.
• Calculate measures of central tendency and data dispersion.
• Analyse relationships through correlation and regression techniques.
• Apply probability concepts to evaluate likelihood and outcomes.
• Conduct sampling and visualise data using appropriate charts.
• Identify and avoid common errors in statistical interpretation.

Course Link : Statistics Essentials Online Training

Course Modules

Module 01: Introduction to StatisticsUnderstand the fundamentals, purpose, and application of statistics.

Module 02: Measuring Central TendencyLearn to compute and interpret mean, median, and mode accurately.

Module 03: Measures of DispersionExplore range, variance, and standard deviation to understand data spread.

Module 04: Correlation and Regression AnalysisAnalyse relationships between variables using correlation and regression techniques.

Module 05: ProbabilityUnderstand probability rules, types, and real-world probability applications.

Module 06: SamplingStudy types of sampling and learn how to collect representative data.

Module 07: Charts and GraphsVisualise data effectively using bar charts, histograms, and pie charts.

Module 08: Hypothesis TestingPerform hypothesis testing and interpret significance levels and p-values.

Module 09: Ten Common Statistical MistakesAvoid errors and misinterpretations commonly made in statistical analysis.

Disclaimer:

This is an online course with pre-recorded lessons. You will get access to the course within 48 hours after your enrolment.