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Statistics for Business Analytics: Data Analysis with Excel

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Rating4.3
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Statistics for Business Analytics: Data Analysis with Excel, available at $79.99, has an average rating of 4.33, with 81 lectures, 23 quizzes, based on 132 reviews, and has 973 subscribers.

You will learn about 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 This course is ideal for individuals who are Aspiring data analysts who are interested in developing their expertise in statistics and business analytics or Business professionals who want to develop their data analysis skills to make informed business decisions or Entrepreneurs and small business owners who want to use data analysis to make informed business decisions and grow their businesses or IT professionals who want to develop their skills in data analysis and data modeling to advance their careers or Managers and executives who want to understand the role of data analytics in decision making and lead their teams in data-driven decision making It is particularly useful for Aspiring data analysts who are interested in developing their expertise in statistics and business analytics or Business professionals who want to develop their data analysis skills to make informed business decisions or Entrepreneurs and small business owners who want to use data analysis to make informed business decisions and grow their businesses or IT professionals who want to develop their skills in data analysis and data modeling to advance their careers or Managers and executives who want to understand the role of data analytics in decision making and lead their teams in data-driven decision making.

Enroll now: Statistics for Business Analytics: Data Analysis with Excel

Summary

Title: Statistics for Business Analytics: Data Analysis with Excel

Price: $79.99

Average Rating: 4.33

Number of Lectures: 81

Number of Quizzes: 23

Number of Published Lectures: 81

Number of Published Quizzes: 23

Number of Curriculum Items: 104

Number of Published Curriculum Objects: 104

Number of Practice Tests: 2

Number of Published Practice Tests: 2

Original Price: €219.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

  • 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

Target Audiences

  • 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

Data is everywhere and plays a crucial role in the success of businesses across all industries. As the world becomes more and more data-driven, the demand for professionals who can effectively analyze and interpret data is growing rapidly.

If you’re ready to take your place at the forefront of this exciting and rapidly evolving field, “Statistics for Business Analytics: Data Analysis with Excel” is the course for you!

This comprehensive online course is designed for anyone looking to develop their skills in data analysis, statistical modeling, and business analytics. Whether you’re just starting out or looking to advance your career, this course will provide you with the knowledge and hands-on experience you need to succeed.

With its engaging curriculum, practical case studies, and supportive community, this course is the perfect opportunity to build your skills, advance your career, and stay ahead of the curve in a rapidly changing landscape. Here are four reasons why you should take this course:

1  | Course Relevance – Stay Ahead of the Curve in a Data-Driven World

In today’s business world, having a solid understanding of statistics and data analysis is more important than ever. This course will give you the skills and knowledge you need to succeed in business analytics, helping you stay ahead of the curve in a rapidly changing landscape.

2 | Skills Gained – Master Data Analysis, Statistical Modeling, and Business Analytics

In this course, you’ll gain a deep understanding of data analysis, statistical modeling, and business analytics. You’ll learn how to use Excel to perform data analytics, how to apply regression analysis and hypothesis testing, and how to make informed decisions based on your data analysis.

3 | Case Studies and Practice Activities – Apply Your Skills to Real-World Problems

One of the best ways to learn is by doing, and this course includes a range of case studies and practice activities to help you apply your skills to real-world problems. Whether you’re working through a case study or practicing data analysis in Excel, you’ll have the chance to put your newfound skills into action.

4 | Q&A Support and Instructor Engagement – Get the Help You Need When You Need It

Learning can be challenging, but you don’t have to go it alone. The Q&A and student communities are great places to get help and connect with others. I am also available to answer any questions you have and provide support as you progress through the course.

In conclusion, “Statistics for Business Analytics: Data Analysis with Excel” is the perfect course for anyone looking to build their skills and advance their career in business analytics. With its comprehensive curriculum, practical case studies, and supportive community, you’ll gain the skills and confidence you need to succeed in today’s data-driven business world.

Don’t miss out on this opportunity to transform your career. Enroll in “Statistics for Business Analytics: Data Analysis with Excel” today and start your journey to becoming a data analysis expert.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Statistics for Business Analytics: Data Analysis with Excel

Lecture 2: Introduction

Lecture 3: IMPORTANT: Download Course Material

Lecture 4: CASE STUDY – Statistics in the FAANG Companies

Chapter 2: Introduction to Statistics

Lecture 1: Game Plan for Introduction to Statistics

Lecture 2: Types of Variables

Lecture 3: Population vs Sample

Lecture 4: Case Study Briefing

Lecture 5: Measures of Central Tendency

Lecture 6: Mean

Lecture 7: EXCEL: Mean

Lecture 8: Median

Lecture 9: EXCEL: Median

Lecture 10: Mode

Lecture 11: EXCEL: Mode

Lecture 12: CHALLENGE: EXCEL – Central Tendency

Lecture 13: Standard Deviation

Lecture 14: EXCEL: Standard Deviation

Lecture 15: Coefficient of Variation

Lecture 16: EXCEL: Coefficient of Variation

Lecture 17: Normal Distribution

Lecture 18: EXCEL: Normal Distribution

Lecture 19: Covariance

Lecture 20: EXCEL: Covariance

Lecture 21: Correlation

Lecture 22: EXCEL: Correlation

Lecture 23: CASE STUDY: Sports Analytics in Basketball

Chapter 3: Confidence Intervals

Lecture 1: Game Plan for Confidence Intervals

Lecture 2: Case Study Briefing

Lecture 3: Standard Error of the Sample Mean

Lecture 4: EXCEL: Standard Error of the Sample Mean

Lecture 5: Z-score and Standardization

Lecture 6: EXCEL: Z-score and Standadization

Lecture 7: Confidence Level

Lecture 8: EXCEL: Confidence Level

Lecture 9: Confidence Interval with Large Samples

Lecture 10: EXCEL: Confidence Interval with Large Samples

Lecture 11: CASE STUDY: Guinness Beer and the T-student distribution

Lecture 12: Confidence Interval with Small Samples

Lecture 13: Degrees of Freedom

Lecture 14: EXCEL: Confidence Interval with Small Samples

Lecture 15: Your feedback is valuable

Chapter 4: Hypothesis Testing

Lecture 1: Game Plan for Hypothesis Testing

Lecture 2: CASE STUDY: Improving Amazon Fashion Product Returns using Business Analytics

Lecture 3: What is Hypothesis Testing?

Lecture 4: P-value

Lecture 5: Type I and Type II errors

Lecture 6: CASE STUDY: Publication Bias in Statistics

Lecture 7: How to test your hypothesis? (Known Variance and 2-Tails)

Lecture 8: CASE STUDY BRIEFING: Tesla Production

Lecture 9: EXCEL: How to test your hypothesis (known Variance and 2-Tails)

Lecture 10: How to test your hypothesis? (unknown Variance and 2-Tails)

Lecture 11: EXCEL: How to test your hypothesis (known Variance and 2-Tails)

Lecture 12: Paired T-Test (2-Tails)

Lecture 13: Excel: Paired T-Test (2-Tails

Lecture 14: Two Sample T-Test (2-Tails)

Lecture 15: Excel: Two Sample T-Test (2-Tails)

Lecture 16: One-tailed tests

Lecture 17: EXCEL: One-tailed tests part 1

Lecture 18: EXCEL: One tailed tests part 2

Chapter 5: Regression Analysis

Lecture 1: Game Plan for Regression Analysis

Lecture 2: CASE STUDY BRIEFING: Pricing Diamonds

Lecture 3: Linear Regression

Lecture 4: EXCEL: Scatterplot

Lecture 5: EXCEL: Linear Regression

Lecture 6: Linear Regression Statistics and Output

Lecture 7: EXCEL: Linear Regression Statistics and Output

Lecture 8: Dummy Variable Trap

Lecture 9: EXCEL: Linear Regression with Dummy Variables

Lecture 10: CASE STUDY: Linearity Bias in Statistics and Business Analytics

Lecture 11: Multilinear Regression

Lecture 12: EXCEL: Multilinear Regression

Lecture 13: Under and Overfitting

Instructors

Rating Distribution

  • 1 stars: 1 votes
  • 2 stars: 2 votes
  • 3 stars: 19 votes
  • 4 stars: 43 votes
  • 5 stars: 67 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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