The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling.
You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.
Skills you will gain
- Microsoft Excel
- Linear Regression
- Statistical Hypothesis Testing
There are 5 Courses in this Specialization
Introduction to Data Analysis Using Excel: The use of Excel is widespread in the industry. It is a very powerful data analysis tool and almost all big and small businesses use Excel in their day to day functioning.
Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions: The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is a requirement to make correct and relevant interpretations of data.
Business Applications of Hypothesis Testing and Confidence Interval Estimation: Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent of ‘risk’ or ‘uncertainty’ in various business processes.
Linear Regression for Business Statistics: Regression Analysis is perhaps the single most important Business Statistics tool used in the industry. Regression is the engine behind a multitude of data analytics applications used for many forms of forecasting and prediction.
Business Statistics and Analysis Capstone: The Business Statistics and Analysis Capstone is an opportunity to apply various skills developed across the four courses in the specialization to real-life data.
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