Interpreting Data with Statistical Models

Focused View

Axel Sirota

2:48:28

157 View

1. Course Overview

1. Course Overview.mp4

01:26

2. Thinking Like a Statistician

1. What Is Statistics.mp4

05:03

2. What Are Estimators.mp4

03:28

3. Demo - Installing Jamovi.mp4

05:12

4. Basic Probability and Random Variables.mp4

04:30

5. Continuous and Discrete Distribution Functions.mp4

05:23

6. Does the Distribution Change in a Sample.mp4

07:42

7. Demo - Making Our First Statistical Test.mp4

07:04

8. Summary.mp4

01:43

3. Testing a Hypothesis

1. Introducing Case Study.mp4

01:20

2. T Distribution - When the Variance Is Unknown.mp4

02:31

3. Statistical Hypothesis - What Am I Missing.mp4

04:06

4. T Test - Estimate the Chance of Equal!.mp4

05:48

5. Demo - Comparing Means.mp4

04:45

6. What if I Am Mistaken.mp4

02:45

7. Confidence Interval - The Other Face of the Coin.mp4

04:39

8. Summary.mp4

02:17

4. Comparing Categorical Values with Frequency Analysis

1. Introducing Demo - Salary Fairness.mp4

01:39

2. Goodness of Fit - Lets Test if This Follows The Pattern!.mp4

05:17

3. Demo - Salary Fairness.mp4

05:02

4. Normality Tests.mp4

02:51

5. Summary.mp4

00:55

5. Analyzing Experiments with ANOVA

1. Introducing ANOVA.mp4

00:34

2. Introducing Demo - Selecting the Best Coffee.mp4

01:01

3. Null Hypothesis of ANOVA.mp4

03:43

4. The Output of ANOVA.mp4

03:36

5. Demo - Selecting the Best Coffee.mp4

04:50

6. Assumptions of the Model - Hetero-what!.mp4

02:32

7. Checking Homoscedasticity - Levene and ANOVA Inception.mp4

03:32

8. Demo - Revisiting Selecting the Best Coffee Video.mp4

07:51

9. Summary.mp4

00:50

6. Comparing Groups and Effects with ANOVA

1. Introducing Demo - Mixing All Together.mp4

00:58

2. Why Dont You Use Multiple T Tests.mp4

03:01

3. Tukey Comparisons - I Want It All.mp4

02:58

4. Planned Contrasts - When You Need More Potency.mp4

02:00

5. Demo - Mixing all Together.mp4

06:38

6. Summary.mp4

02:14

7. Predicting Linear Relationships with Regression

1. Introducing Demo - The Houses Price.mp4

01:08

2. The Power of Regression.mp4

03:13

3. Minimum Squares Estimation - Find the Linear Part.mp4

04:20

4. Prediction and Extrapolation.mp4

01:58

5. The Assumptions of Regression.mp4

02:59

6. Demo - The Houses Price.mp4

06:41

8. Predicting Non-linear Relationships with Regression

1. Introducing Demo - The Housing Problem.mp4

00:38

2. When the World Is Not Linear, You Just Linearize!.mp4

05:22

3. Demo - The Housing Problem - Part 1.mp4

05:36

4. Demo - The Housing Problem - Part 2.mp4

03:12

5. Course Wrap Up.mp4

01:37

Description

Data is everywhere and we always hear about statistics, even if we do not realize it! Over this course we will shape up our statistical knowledge; going from zero to hero analyzing complex patterns of everyday real-world problems.

What You'll Learn?

Data is everywhere, from the newspaper you read on the subway to the report you are using to analyze yesterday's stock market performance. In this course, Interpreting Data with Statistical Models, you will gain the ability to effectively understand how to tackle problems that appear at your work, understand which is the right statistical analysis to use, and how to interpret the results to obtain insights. First, you will learn the very basics of statistics. Next, you will discover hypothesis testing to compare variables. Finally, you will explore how to make multiple comparisons and detect functional relationships with ANOVA and Regression. When you’re finished with this course, you will have the skills and knowledge of data analysis and statistical models needed to make your data speak for itself.

More details

User Reviews

Rating

average 0

Total votes0

Focused display

Statistics

Data Modeling

Axel Sirota

Instructor's Courses

Axel Sirota is a Microsoft Certified Trainer with a deep interest in Deep Learning and Machine Learning Operations. He has a Masters degree in Mathematics and after researching in Probability, Statistics and Machine Learning optimisation, he works as an AI and Cloud Consultant as well as being an Author and Instructor at Pluralsight, Develop Intelligence, and O'Reilly Media.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.