Statistics for Business Analytics: Data Analysis with Excel
Last updated on October 30, 2026 2:49 amStatistics for Business Analytics: Data Analysis with Excel
★★★★★
$799.00
in stock
Udemy.com
as of October 30, 2026 2:49 am
Improve your Statistics & Analysis Skills. Enhance your Business and Data Analytics with Statistical Modelling & Excel.
Created by:
Diogo Alves de Resende
Analytics and Data Science expert
Analytics and Data Science expert
Rating:4.59 (165reviews)
1219students enrolled
What Will I Learn?
- Comprehend the fundamental concepts and principles of statistics and their application in business analytics
- Complete several data analysis projects in Excel to demonstrate mastery of statistical concepts and business analytics skills
- Perform data analysis using Excel and apply statistical methods to business problems
- Utilize Excel to perform hypothesis testing and make decisions based on business data
- Analyze business data using descriptive and inferential statistics in Excel
- Construct and interpret statistical models to make informed business decisions
- Implement regression analysis in Excel to predict future trends and make data-driven decisions
- Utilize data analytics techniques to analyze large datasets and extract meaningful insights
- Evaluate real-world business scenarios and critically assess the use of statistical models and data analytics
- Analyze data using linear regression techniques in Excel to make predictions and understand relationships
Requirements
- Basic Excel knowledge is desirable
Target audience
- Aspiring data analysts who are interested in developing their expertise in statistics and business analytics
- Business professionals who want to develop their data analysis skills to make informed business decisions
- Entrepreneurs and small business owners who want to use data analysis to make informed business decisions and grow their businesses
- IT professionals who want to develop their skills in data analysis and data modeling to advance their careers
- Managers and executives who want to understand the role of data analytics in decision making and lead their teams in data-driven decision making


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