Essential Statistics for Data Analysis
What you’ll learn in Essential Statistics for Data Analysis
- Learn powerful statistics tools and techniques for data analysis & business intelligence
- Understand how to apply foundational statistics concepts like the central limit theorem and empirical rule
- Explore data with descriptive statistics, including probability distributions and measures of variability & central tendency
- Model data and make estimates using probability distributions and confidence intervals
- Make data-driven decisions and draw conclusions with hypothesis testing
- Use linear regression models to explore variable relationships and make predictions
Description of Essential Statistics for Data Analysis
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 using familiar tools like Microsoft Excel, 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 using Excel’s Analysis Toolpak.
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 companys, safety teams, airlines, and more.
Who this course is for:
- Aspiring data professionals who want an intuitive, beginner-friendly introduction to the world of statistics
- Business intelligence professionals who want to make confident, data-driven decisions
- Anyone using data to make assumptions, estimates or predictions on the job
- Students looking to learn powerful, practical skills with unique, hands-on projects and demos
Requirements
- No math or stats background is required – we’ll start with the absolute basics!
- We’ll use Microsoft Excel (Office 365) for course projects and demos
Readmore about: Udemy
Kelly Felix – Underestimated
BRYAN KREUZBERGER – BREAKTHROUGH EMAIL
Gemma Bonham-Carter – The Passive Project
Apteros Trading – Learn to Scalp
Jason Wojo – 60 Viral Video Scripts (60 Viral Topics + 60 Hooks Bundle)
Sean Anthony – PDF Profits Protocol
Austin Lovell – Freedom Fast Track
Felix Economakis – 4Rs Model
Zac Hansen – The Productized Community
Jon Benson – VSL Fast Track 2018
Mark Larson – The Complete Guide to Technical Indicators
David Snyder – Defense Against The Dark Arts
Digital Income Project – Content MBA
Rob Walling – The SaaS Launchpad
Product University – Unique Amazon Strategy
ICBCH – Richard Nongard – Gold Level Hypnosis Certification Course
All Products Special (Business Explained)
Ra Uru Hu – Design Concepts
John Overdurf – Splitting Synesthesias within the Rhizome
FXC Trading – Holy Grail
Just for Traders – Options Buying Course
Chunyi Lin – Five Element Healing Movements
TrendyOutlet – Viral Video Hooks Pack
Jack Hopkins – 10k Accelerator Program
B The Trader – Trading Course
George Hutton – Alpha Female
Jim Huntzicker – MLS Domination
Danny Postma – The Exact Blueprint That Ranked My Sites #1 on Google
Cole Gordon – 8 Figure Boardroom Mastermind
Jerry Sargeant – Introductory Healing Training
Joseph Riggio – 7 Days to Genius – Make 2018 Your Best Year Ever GB
BowesPublishing – The EVERYTHING Bundle 2024 (KDP)
Jack Duncan – The DREAM Business
Mike Lipsey – Systems For Success 7.0
W.D. Gann – Best Trading Systems
Billy Gene – 5 Day AI Crash Course for Marketers
Liana Ling – Bullet Proof Meta (Facebook) Ads
Brent Smith – Bulletproof Banter
Scott Jack – Magnetic Interaction
Talmadge Harper – Singularity: Remote Viewing
Bob Burns – The Swan Speaks
Adam Eason – High Self Esteem In 21 Days
Justin Brooke – Growth Operator Blueprint
Doug O’Brien – Two Inductions For Learning Integration
Regan Hillyer – 7 Days To A Kick Ass New You
Steve Roye – Killer Stand Up Comedy System
Alexandra Danieli – Selling for Projectors
Julie Solomon – Pitch It Perfect
Sean D’Souza – Uniqueness Mastery Home Study & Collection
Rich Schefren – BAP Business Accelerator
Richard Bandler – Self Esteem Rhythm Trance
Complete 32+ Hour Video Training Course 2008
Nathaniel Branden – Bask Principles Of Objethrism
David Hans Barker - Spiritual Hustlers Club 1 Year [exp July 2022]
Hale Dwoskin - Sedona Method - Inner Circle Volume 3
GRACIE ACADEMY - Gracie Combatives Program
Matt Clark and Jason Katzenback – Amazing Selling Machine 11
Rich Shy Girl – The Formula 

