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
RROP – Low Timeframe Supply & Demand
Emil Pakarklis – iPhone Editing Academy – iPhone Photo Masters
Christina Berkley – The 5K Project
Juliette Kristine – The Surrender Approach
Donna Eden – Shifting Deeply Embedded Patents
Mahara Brenna – Rebirthing Experience (Holotropic Breathwork)
Rob Walling – The SaaS Launchpad
Rich Shy Girl – The Formula
Michael Pair – Learn To Buy Stocks In 30 Minutes
Advanced Articulation Course
FXC Trading – Holy Grail
Simpler Options – Ultimate Options Trading Blueprint
Ken Wilber – Evolutionary Dynamics
Felix Economakis – 4Rs Model
Brian & Kam – Trading with Auction Market Theory and Volume Profiles
Alexey Molchanov – Foundational Breathwork
Digital Income Project – Content MBA
Talmadge Harper – Quantum Hypnosis Healing Personal MP3
Greg Frost – Chargedaudio NLP Subliminal CD Mind Power Scries
Kelly Howell – Brain Sync – Grace and Gratitude
Alexandra Danieli – Selling for Projectors
Sean D’Souza – The Sales Page/Copywriting Home Study Course
Richard Bandler – Ericksonian Hypnosis – An NLP Perspective
Heal Your Heart After Grief: Help Your Clients Find Peace After Break-Ups, Divorce, Death and Other Losses – David Kessler
Tai’s Credit – Mentor Program 3.0
Lena – Adventures In SEO
Pendulum Alchemy – Emotional Healing With Pendulums 2.0
DAN BACON – Alpha Male Power
Selena Soo – Get Known and Get Clients
OkkForex – Forex WATA
Taylor Jackson – Creating Profitable YouTube Videos
BowesPublishing – The EVERYTHING Bundle 2024 (KDP)
Jon Benson – VSL Fast Track 2018
Zac Hansen – The Productized Community
Joseph Keefe – Improv Yourself: Business Spontaneity at the Speed of Thought
Video for Creators: Everything you need to know to plan, film, edit and market videos to grow your income and impact online.
Allie Bloyd – The Local Lead Generation Masterclass
The Science of Trust and Betrayal with John Gottman, Ph.D. – John M. Gottman
MIT – Master Design Thinking
Complete 32+ Hour Video Training Course 2008
Dr Joel – Body Weight Training – Advance On The Go Training
ISTDP Institute – Treatment Resistance
B The Trader – Trading Course
Kenrick Cleveland – Structure Of Thought
Product University – Unique Amazon Strategy 

