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Description

This is not another boring stats course.
We'll teach you the fundamental statistical tools to be successful in analytics...without boring you with complex formulas and theory.
Statistical analysis can benefit almost anyone in any industry. We live in a world flooded with data. Having the tools to analyze and synthesize that data will help you stand out on your team.
In a few short hours, you'll have the fundamental skills to help you immediately start applying sophisticated statistical analyses to your data.
Our course is:
   
Very easy to understand
- There is not memorizing complex formulas (we have Excel to do that for us) or learning abstract theories. Just real, applicable knowledge.
Fun
- We keep the course light-hearted with fun examples
To the point
- We removed all the fluff so you're just left with the most essential knowledge
What you'll be able to do by the end of the course
  
Create visualizations such as histograms and scatter plots to visually show your data  
Apply basic descriptive statistics to your past data to gain greater insights
Combine descriptive and inferential statistics to analyze and forecast your data
Utilize a regression analysis to spot trends in your data and build a robust forecasting model
Let's start learning!
  
Who this course is for:
People who want a career in Data Science
Business analysts
People who want to learn the fundamentals of statistics
Recent grads looking for an analytical job

What you'll learn

Understand the fundamentals of statistics w/o memorizing complicated formulas

Make better, more accurate data-driven decisions

Understand and carry out a regression analysis

Make estimates using confidence intervals

Plot different types of data using scatter plots and histograms

Calculate correlation, standard deviation, and other measures

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Introduction
2
1.1-Welcome to the course!
1.2-Course inroduction
2-The Fundamentals of Statistics
10
2.1-Descriptive vs. Inferential Statistics
2.2-Population vs. Sample
2.3-Categorical vs. Numerical Data
2.4-Ways to Visually Show your Data
2.5-The Ultimate Goal of Statistics
2.6-Mean (Average)
2.7-Median
2.8-Mode
2.9-Applying Mean, Median, and Mode
2.10-Quiz 1
3-A Deeper Dive into Descriptive Statistics
8
3.1-Understanding and Creating Histograms pt. I
3.2-Understanding and Creating Histograms pt. II
3.3-Skewness in our Histogram
3.4-Intro to Variance
3.5-Intro to Standard Deviation
3.6-Applying Standard Deviation
3.7-Coefficient of Variation
3.8-Quiz 2
4-Inferential Statistics & Estimates
8
4.1-Probability Distribution
4.2-The Normal Distribution
4.3-Simple Explanation of the Central Limit Theorem
4.4-Proving out the Central Limit Theorem
4.5-Intro to Estimates
4.6-Calculating a Confidence Interval Estimate
4.7-Applying Confidence Interval Estimates
4.8-Quiz 3
5-Intro to Regression Analysis
8
5.1-What is a Regression Analysis
5.2-Understanding and Creating Scatter Plots
5.3-Correlation and Causation
5.4-Applying Correlation
5.5-Understanding the Correlation Number
5.6-Creating a Line of Best Fit (Trendline)
5.7-The Equation of the Line
5.8-Quiz 4
6-Creating and Understanding a Regression
9
6.1-Setting up Excel for Regression
6.2-Creating our First Regression
6.3-Understanding the Regression Statistics
6.4-Understanding R Square
6.5-Understanding P-values
6.6-Understanding the Final Regression Outputs
6.7-Tying it All Together
6.8-Creating a Confidence Interval Estimate
6.9-Quiz 5
7-Conclusion
2
7.1-Conclusion
7.2-Final Thoughts