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.
Learning Journey Context
This course serves as an entry point into Data Science, building foundational knowledge before moving on to advanced frameworks or specialized paths.
Relevant for professionals pursuing roles within Data Science.
💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.
Quick Facts
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.
Outcomes
- Course Overview : 1min.
- Thinking Like a Statistician : 40mins.
- Testing a Hypothesis : 28mins.
- Comparing Categorical Values with Frequency Analysis : 15mins.
- Analyzing Experiments with ANOVA : 28mins.
- Comparing Groups and Effects with ANOVA : 17mins.
- Predicting Linear Relationships with Regression : 20mins.
- Predicting Non-linear Relationships with Regression : 16mins.
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