We’ve taken a quick look at the basics of hypothesis testing in the previous session. Now, let’s dive deeper into hypothesis formulation, which sets the...
Our previous discussion focused on the basics of hypothesis formulation. As you can recall, a hypothesis refers to a statement that makes a claim about...
In data science, saving progress is essential. Just like saving your progress in a video game ensures you don’t lose your hard-earned achievements, saving data...
In our last lesson, we introduced the concept of Python packages and NumPy in particular. Short for Numerical Python, this package is used to create...
Now that we have a solid handle on basic Python programming, we can move on to the introduction of numerical datasets to our programs. By...
In our last post, we discussed user-defined functions in Python and their ability to make life easier for developers and data scientists by providing a...
Let’s take a moment to review some of the ideas that we covered in the previous session. In the last post, we focused on estimation...
So far, we’ve gone from the very basics of Python programming to slightly more complex concepts. What started out as just a couple of lines...
In the previous lessons, we’ve covered various ways to draw inferences about a population from a sample. We’ll now zero in on a specific type...
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