Statistics for Business Analytics using MS Excel

Learn how probability & statistics is used for business & business strategy. Make statistical business models in Excel

What you'll learn:

Learn the concepts of Probability and statistics required for making business decisions
Use concept of Statistical inference to make statistics-based judgement of business scenarios
Knowledge of all the essential Excel formulas required for Business Analysis
Implement predictive ML models such as simple and multiple linear regression to predict outcomes to real world problems
Knowledge of data-related operations such as calculating, transforming, matching, filtering, sorting, and aggregating data
Learnr important probability distributions such as Normal distribution, Poisson distribution, Exponential distribution, Binomial distribution etc
Solve business case-studies with Excel's data analytics tools such as solver, goal seek, scenario manager, etc
Learn about important data processing topics like outlier treatment, missing value imputation, variable transformation, and correlation.

Requirements:

Only a PC with any version of Excel installed is needed for this course on "Statistics for Business Analytics using MS Excel"

Description:

You're looking for a complete course on understanding Statistics for Business Analytics, right?
You've found the right Statistics for Business Analytics using MS Excel course! This course will teach you data-driven decision-making and the use of analytical and statistical methods in business settings.
After completing this course you will be able to:
Understand how to formulate a business problem as an analytics problem
Summarize business data into tables and charts to communicate information effectively
Make predictive machine learning model to predict business outcomes
Use statistical concepts to reach business decisions
Interpret the results of statistical models for formulating strategy

Who this course is for:

Anyone curious to master Excel for Business Analysis in a short span of time
Business Analysts/ Managers who want to expand on the current set of skills

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