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
The Trader Chick – The Day Trader Road Map Master Training
BeSomebodyFX – The Real Fundamental Analysis
Wendy Patton – Wealth Building Arsenal
Jermaine Francois – The Only Astra Academy
Kenrick Cleveland – Unconscious Neuro Modelling (Unified and Complete)
Apteros Trading – Learn to Scalp
David Morehouse – Remote Viewing Online Training Course
Austin Lovell – Freedom Fast Track
10 Best Diamond Aloha Activations, Discourses and Transmissions – Dia
JeremyB – Youtube Growth & Automation Mastery Bundle
Kate Scott – Scale with Templates 2.0
Astra Gallery – The Art of Generating AI Content
Victor Casler – Personalized DeFi Crash Course
Christina Beavers – The Reel Deal
Julie Solomon – Pitch It Perfect
Russ Horn – Ultra Blue Forex
Essentials of Elite Performance – S-Phase
Navi Maraj CPA – Learn How To Save Thousands In Taxes
David Snyder – Real World Hypnosis 2012
Digital Resell Vault – Clone To Content
Immrama Institute – Infinity Program (Gentle Rain Version)
Devin Jatho – Media Launchpad
Brian & Kam – Trading with Auction Market Theory and Volume Profiles
Alexey Molchanov – Foundational Breathwork
Master Trader – Learn Trading Late Day Breakouts & Breakdowns
Paul Scheele – The Ultimate You Library of Paraliminals
Christophe Morin – SalesBrain NeuroMarketing Training
John Overdurf – Splitting Synesthesias within the Rhizome
Dan Koe – The Kortex Writer’s Bootcamp (Curriculum Only)
Jamie Sea – The Course Creator’s College (CEO CLUB 2)
B The Trader – Trading Course
Investopedia Academy – Become A Day Trader
Dean Cortez – One Night Stands Masterclass
Talmadge Harper – Human Lie Detector
Duston McGroarty – $10K Today System
Tai’s Credit – Mentor Program 3.0
Jon Benson – VSL Fast Track 2018
Product University – Unique Amazon Strategy
Digital Income Project – Content MBA
Christina Berkley – The 5K Project
Scott Solomon – What Darwin Didn’t Know – The Modern Science of Evolution
Kirill Eremenko – Forex Robots – Expect To Earn 175% P.A. Forex Robot Included
W.D. Gann – Best Trading Systems
Tom Torero, Jon Matrix & Yad – Daygame.com: Date Against The Machine
Jason Wojo – 60 Viral Video Scripts (60 Viral Topics + 60 Hooks Bundle)
Ross Jeffries – Speed Seduction: The Final Awakening
Brandon Lucero – The Video 4x Effect 2020
Bob Burns – The Swan Speaks
Mark Larson – The Complete Guide to Technical Indicators
Talmadge Harper – Alpha Protocol 3: Extreme Pheromone Attraction
ZEUSSY Mentorship 2024
George Hutton – Maximum Social Confidence
Pendulum Alchemy – Emotional Healing With Pendulums 2.0
Quantifiable Edges Bundle
Kyle Milligan – The Process – A Draft By Draft Copywriting Walkthrough
Talmadge Harper – The Flow State
BRYAN KREUZBERGER – BREAKTHROUGH EMAIL
Stratagem Trading – Unbalanced Birds 

