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.
Introduction to Databases and an Example of a Data Table When you become a successful SQL programmer, working with multiple data tables will be a walk in the park. One thing you’ll notice when studying programming languages is that the concepts you encounter are interrelated. This means by...
When coding, getting accustomed to using Python variables is essential. “Give me a lever and a place to stand and I will move the earth.” – Archimedes This saying proves that when given the right tools, you can achieve anything! In our case, learning how to use...
In our previous tutorial, we created a visualization for 2015 and expressed ‘GDP figures’ as a percentage of a total. In this tutorial, we’ll continue exploring some of Tableau’s main features. More specifically, we’ll learn how to create a table in Tableau...
What do we use the Moving Average model for? In time-series, we sometimes observe similarities between past errors and present values. That’s because certain unpredictable events happen, and they need to be accounted for. In other words, by knowing how far off our estimation yesterday was,...
Tensors have been around for nearly 200 years. In fact, the first use of the word ‘tensor’ was introduced by William Hamilton. Interestingly, the meaning of this word had little to do with what we call tensors from 1898 until today. How did tensors become important you may ask? Well,...
