Interpreting Data with Statistical Models
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.
Table of contents
- Introducing ANOVA 1m
- Introducing Demo: Selecting the Best Coffee 1m
- Null Hypothesis of ANOVA 4m
- The Output of ANOVA 4m
- Demo: Selecting the Best Coffee 5m
- Assumptions of the Model: Hetero-what?! 3m
- Checking Homoscedasticity: Levene and ANOVA Inception 4m
- Demo: Revisiting Selecting the Best Coffee Video 8m
- Summary 1m
About the author
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.