What you will learn in Business Statistics and Analysis Specialization Course
- Master essential Excel functions for data analysis and business modeling.
- Understand and apply descriptive statistics and probability distributions to business decisions.
- Conduct hypothesis testing and build confidence intervals for data-driven insights.
- Develop and interpret linear regression models for predictive analytics.
- Apply statistical techniques to real-world business problems through a comprehensive capstone project.
Program Overview
Introduction to Data Analysis Using Excel
⏱️ 24 hours
- Learn to import, organize, and manipulate data in Excel.
- Utilize functions like IF, VLOOKUP, and RANDBETWEEN.
- Create PivotTables, charts, and perform data filtering.
Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions
⏱️ 20 hours
Explore measures of central tendency and variability.
Understand and apply normal, binomial, and Poisson distributions.
Learn about the Central Limit Theorem and its business applications
Business Applications of Hypothesis Testing and Confidence Interval Estimation
⏱️24 hours
Construct and interpret confidence intervals.
Perform hypothesis tests for means and proportions.
Apply these techniques to real business scenarios.
Linear Regression for Business Statistics
⏱️ 20 hours
- Develop simple and multiple linear regression models.
- Interpret regression coefficients and assess model fit.
- Use regression analysis for forecasting and decision-making.
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Job Outlook
Proficiency in business statistics is valuable for roles such as Data Analyst, Business Analyst, and Financial Analyst.
Skills acquired in this specialization are applicable across various industries, including finance, marketing, and operations.
Completing this specialization can enhance your qualifications for positions that require data-driven decision-making capabilities.
Specification: Business Statistics and Analysis Specialization
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FAQs
- Learn descriptive and inferential statistics.
- Apply probability, regression, and forecasting in business.
- Use Excel and other tools for practical analysis.
- Gain insights into real-world business case studies.
- No advanced math background required.
- Concepts explained in a beginner-friendly way.
- Helpful if you know basic algebra and percentages.
- Suitable for business students and professionals new to statistics.
- Perform data analysis with Excel and statistical tools.
- Understand probability and risk in decision-making.
- Build and interpret regression models.
- Apply forecasting techniques to predict trends.
- Communicate insights with charts and reports.
- Analyze sales and financial performance data.
- Apply statistical models to solve business problems.
- Create forecasts for demand and revenue.
- Case studies from business and management scenarios.
- Business students needing applied statistics knowledge.
- Managers and professionals making data-driven decisions.
- Aspiring data analysts focusing on business applications.
- Entrepreneurs who want to use statistics in strategy.
