What's Inferential Statistics?
Adds confidence and precision to decision-making with inferential statistics.
Best suited for analysts and business intelligence professionals who want to provide more confidence in its data based on a statistical model.
Take your insight further with deeper analytics.
Adds confidence and precision to data model with inferential statistics.
Smarter data analysis.
With the overwhelming volume of data available to organizations and businesses, it is important to correctly interpret its implications and have the ability to sort through all this information. Now business analysts can experiment with hypotheses, then act based on statistics.
Generalize, analyze, and benchmark.
Inferential Statistics helps you generalize the statistical analysis results from samples into populations, test the statistical hypotheses, perform and evaluate data-driven decisions, and communicate statistical results correctly and effectively.
Support decision with statistics.
You will learn to transform the raw data into information to support companies' decision-making using advanced statistical techniques. This module helps you make insights from raw data and generalize the results by applying probability theory and statistical analysis.
Upon completion, participants should be able to demonstrate each of the following;
- Model real-world problems/scenarios with probability theory.
- Understand the Central Limit Theorem and Probability Distribution Functions. Apply this knowledge to do interval estimation on sample variables to estimate population variables.
- Conduct hypothesis testing.
Inferential Statistics is one of the modules under our Enterprise Data Analyst (EDA) program. EDA is a ten-day training program that provides analysts with advanced tools and skillsets required for efficient data analysis.
Each exam in this program certifies job-ready knowledge and skill. Those that pass all are recognized as being able to distil insight from data and communicate its value to a decision-maker. Enter the world of Data Professionals.