Data science is about putting theory into practice. Build up your hands-on skills in Statistics, Python, R, SQL, Tableau, Excel, Machine Learning, Deep Learning, and Time Series Analysis with our step-by-step, easy to understand tutorials and implement what you’ve learned in your future data science and analytics projects.
We can classify data in two ways: based on its type and on its levels of measurement. If you want to figure out how to do it based on its type, that’s something we covered in this tutorial. We've also made a video on the topic. You can watch it below or scroll down if you prefer...
In this article, you will discover the differences between point estimates and confidence intervals. If you have little statistical experience, you will tend to observations based on point estimates (without even knowing it). On the other hand, if you are experienced, or simply want to get better...
How does a LEFT JOIN in SQL work? If you have any idea what JOINS are and you are familiar with the INNER JOIN type, learning how to use the LEFT JOIN in SQL should be a walk in the park. Moreover, we will be handling duplicate records, so make sure you know a thing or two about it. Side note: If...
Today, in the 21st century, when the world is in constant need of people who can work with huge amounts of data if you have the opportunity, you shouldn’t think twice about it. Read on to find out why you should learn SQL? Which Jobs Require SQL? Put yourself in the shoes of an employee or...
Combining Statements and Functions Exercise: Define a function that determines whether the surface area of a cube is greater than its volume. The tutorial you may need: An introduction to Python Functions For this exercise in combining statements, apart from the formulas for the surface and...
