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FREE Course
Self-paced course
Self-paced course
Statistics for Data Analysis
Statistics for Data Analysis
Course Description
This is a hands-on, project-based course designed to help you learn and apply essential statistics concepts for data analysis & business intelligence.
Our goal is to simplify and demystify the world of statistics, and empower everyday people to understand and apply these tools and techniques – even if you have absolutely no background in math or stats!
We’ll start by discussing the role of statistics in business intelligence, the difference between sample and population data, and the importance of using statistical techniques to make smart predictions and data-driven decisions.
Next we’ll explore our data using descriptive statistics and probability distributions, introduce the normal distribution and empirical rule, and learn how to apply the central limit theorem to make inferences about populations of any type.
From there we’ll practice making estimates with confidence intervals, and using hypothesis tests to evaluate assumptions about unknown population parameters. We’ll introduce the basic hypothesis testing framework, then dive into concepts like null and alternative hypotheses, t-scores, p-values, type I vs. type II errors, and more.
Last but not least, we’ll introduce the fundamentals of regression analysis, explore the difference between correlation and causation, and practice using basic linear regression models to make predictions.
Throughout the course, you’ll play the role of a Recruitment Analyst for Maven Business School. Your goal is to use the statistical techniques you’ve learned to explore student data, predict the performance of future classes, and propose changes to help improve graduate outcomes.
You’ll also practice applying your skills to 5 real-world bonus projects, and use statistics to explore data from restaurants, medical centers, pharmaceutical companies, safety councils, airlines, and more.
If you’re an analyst, data scientist, business intelligence professional, or anyone looking to make smart, data-driven decisions, this course is for you.
Course Description
This is a hands-on, project-based course designed to help you learn and apply essential statistics concepts for data analysis & business intelligence.
Our goal is to simplify and demystify the world of statistics, and empower everyday people to understand and apply these tools and techniques – even if you have absolutely no background in math or stats!
We’ll start by discussing the role of statistics in business intelligence, the difference between sample and population data, and the importance of using statistical techniques to make smart predictions and data-driven decisions.
Next we’ll explore our data using descriptive statistics and probability distributions, introduce the normal distribution and empirical rule, and learn how to apply the central limit theorem to make inferences about populations of any type.
From there we’ll practice making estimates with confidence intervals, and using hypothesis tests to evaluate assumptions about unknown population parameters. We’ll introduce the basic hypothesis testing framework, then dive into concepts like null and alternative hypotheses, t-scores, p-values, type I vs. type II errors, and more.
Last but not least, we’ll introduce the fundamentals of regression analysis, explore the difference between correlation and causation, and practice using basic linear regression models to make predictions.
Throughout the course, you’ll play the role of a Recruitment Analyst for Maven Business School. Your goal is to use the statistical techniques you’ve learned to explore student data, predict the performance of future classes, and propose changes to help improve graduate outcomes.
You’ll also practice applying your skills to 5 real-world bonus projects, and use statistics to explore data from restaurants, medical centers, pharmaceutical companies, safety councils, airlines, and more.
If you’re an analyst, data scientist, business intelligence professional, or anyone looking to make smart, data-driven decisions, this course is for you.
Course Content
13 course hours
18 assignments & solutions
6 quizzes
6 skill assessments
13 CPE credits
Who should take this course
Analysts or data scientists looking to learn essential statistics
BI professionals who want to make confident, data-driven decisions
Anyone using data to make assumptions, estimates or predictions
Meet your instructors
Enrique Ruiz
Sr. Learning Experience Designer
Enrique is a certified Microsoft Excel Expert and top-rated instructor with a background in business intelligence, data analysis and visualization. He has been producing advanced Excel and test prep courses since 2016, along with adaptations tailored to Spanish-speaking learners.
Featured review
"This was an amazing crash course in statistics. Enrique is a great instructor and the Maven team has done an impeccable job breaking down complex, heady subjects into bite-sized, digestible pieces. In addition, the focus on doing stats within Microsoft Excel makes it very useful in the real world. Highly recommended!"
Nick H.
Included learning paths
Course credential
You’ll earn the course certification by completing this course and passing the assessment requirements
Statistics for Data Analysis
Statistics for Data Analysis
CPE Accreditation
CPE Credits:
13
Field of Study:
Information Technology
Delivery Method:
QAS Self Study
Maven Analytics LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.
For more information regarding administrative policies such as complaints or refunds, please contact us at admin@mavenanalytics.io or (857) 256-1765.
*Last Updated: May 25, 2023
Course Description
This is a hands-on, project-based course designed to help you learn and apply essential statistics concepts for data analysis & business intelligence.
Our goal is to simplify and demystify the world of statistics, and empower everyday people to understand and apply these tools and techniques – even if you have absolutely no background in math or stats!
We’ll start by discussing the role of statistics in business intelligence, the difference between sample and population data, and the importance of using statistical techniques to make smart predictions and data-driven decisions.
Next we’ll explore our data using descriptive statistics and probability distributions, introduce the normal distribution and empirical rule, and learn how to apply the central limit theorem to make inferences about populations of any type.
From there we’ll practice making estimates with confidence intervals, and using hypothesis tests to evaluate assumptions about unknown population parameters. We’ll introduce the basic hypothesis testing framework, then dive into concepts like null and alternative hypotheses, t-scores, p-values, type I vs. type II errors, and more.
Last but not least, we’ll introduce the fundamentals of regression analysis, explore the difference between correlation and causation, and practice using basic linear regression models to make predictions.
Throughout the course, you’ll play the role of a Recruitment Analyst for Maven Business School. Your goal is to use the statistical techniques you’ve learned to explore student data, predict the performance of future classes, and propose changes to help improve graduate outcomes.
You’ll also practice applying your skills to 5 real-world bonus projects, and use statistics to explore data from restaurants, medical centers, pharmaceutical companies, safety councils, airlines, and more.
If you’re an analyst, data scientist, business intelligence professional, or anyone looking to make smart, data-driven decisions, this course is for you.
Course Description
This is a hands-on, project-based course designed to help you learn and apply essential statistics concepts for data analysis & business intelligence.
Our goal is to simplify and demystify the world of statistics, and empower everyday people to understand and apply these tools and techniques – even if you have absolutely no background in math or stats!
We’ll start by discussing the role of statistics in business intelligence, the difference between sample and population data, and the importance of using statistical techniques to make smart predictions and data-driven decisions.
Next we’ll explore our data using descriptive statistics and probability distributions, introduce the normal distribution and empirical rule, and learn how to apply the central limit theorem to make inferences about populations of any type.
From there we’ll practice making estimates with confidence intervals, and using hypothesis tests to evaluate assumptions about unknown population parameters. We’ll introduce the basic hypothesis testing framework, then dive into concepts like null and alternative hypotheses, t-scores, p-values, type I vs. type II errors, and more.
Last but not least, we’ll introduce the fundamentals of regression analysis, explore the difference between correlation and causation, and practice using basic linear regression models to make predictions.
Throughout the course, you’ll play the role of a Recruitment Analyst for Maven Business School. Your goal is to use the statistical techniques you’ve learned to explore student data, predict the performance of future classes, and propose changes to help improve graduate outcomes.
You’ll also practice applying your skills to 5 real-world bonus projects, and use statistics to explore data from restaurants, medical centers, pharmaceutical companies, safety councils, airlines, and more.
If you’re an analyst, data scientist, business intelligence professional, or anyone looking to make smart, data-driven decisions, this course is for you.
Curriculum
Meet your instructors
Enrique Ruiz
Sr. Learning Experience Designer
Enrique is a certified Microsoft Excel Expert and top-rated instructor with a background in business intelligence, data analysis and visualization. He has been producing advanced Excel and test prep courses since 2016, along with adaptations tailored to Spanish-speaking learners.
Student reviews
This was an amazing crash course in statistics. Enrique is a great instructor and the Maven team has done an impeccable job breaking down complex, heady subjects into bite-sized, digestible pieces. In addition, the focus on doing stats within Microsoft Excel makes it very useful in the real world. Highly recommended!
Nick H.
This one filled that gap! Statistics, it sounds scary, this course simply makes Statistics no longer scary. Enrique guides you along the way and simply breaks down those complicated calculations into bite size pieces and before you know it, you're doing them yourself comfortably. I loved this course, really helped with my comfort level in Statistics, highly recommended for anyone and everyone that needs a brush up or better understanding on Statistics! Great one Maven! Thank you Enrique
Sean Tom Ryan
This course has helped to refresh my knowledge and understand statistics in the best and easiest way. Even if you have never ever studied statistics, you will have no problem to understand the course. The course is perfectly constructed and Mr. Enrique Ruiz has demystified it in the simplest best fashion way. Clear, concise, straight to the point, with a hands on real project you will understand all the tricks and questions. Well done Maven Analytics !!
Faissal Loussaief
Included learning paths
Course credential
You’ll earn the course certification by completing this course and passing the assessment requirements
Statistics for Data Analysis
Statistics for Data Analysis
CPE Accreditation
CPE Credits:
13
Field of Study:
Information Technology
Delivery Method:
QAS Self Study
Maven Analytics LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.
For more information regarding administrative policies such as complaints or refunds, please contact us at admin@mavenanalytics.io or (857) 256-1765.
*Last Updated: May 25, 2023
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