Ementorhub

What you'll learn

Describe the fundamental concepts of statistics and apply them to business and data analytics settings.

Apply data collection, analysis, and interpretation techniques to derive actionable insights for making informed business decisions.

Apply descriptive and inferential analysis methods to derive insights and actionable recommendations from data.

Apply hypothesis testing, regression analysis, and forecasting to support business decision-making processes.

Skills you'll gain

Statistical Analysis

Data Analysis

Predictive Analytics

Spreadsheet Software

Regression Analysis

Statistics

Business Analytics

Descriptive Statistics

Probability

Probability Distribution

Forecasting

Statistical Methods

Microsoft Excel

There are 5 modules in this course

After completing this course, you will be able to apply descriptive and inferential analysis methods, use data visualization methods to communicate data, apply concepts of probability in real-life scenarios, and apply regression techniques to predict trends. The course takes a hands-on approach to statistical analysis using Microsoft Excel and uses examples to illustrate the concepts to help you gain the foundational knowledge of statistical techniques needed to solve business intelligence (BI) problems. A hands-on project will provide you an opportunity to apply the concepts to a real-life scenario involving data-driven decision-making and an understanding of basic statistical thinking and reasoning. This course is suitable for professionals or students who aspire to embark on a career in the BI or Data Analytics fields by equipping them with the crucial skills and knowledge in statistical analysis. It is expected that learners be familiar with Excel/spreadsheet basics and high school mathematics prior to starting this course.

Data Visualization

Introduction to Probability Distributions

Regression Analysis and Forecasting

Analysing Sales Performance and Forecasting