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.
Whenever we want to avoid the flood of more information than what we need, the LIMIT statement in SQL can help us out. However, we will be using keywords such as HAVING and WHERE, so if you have no idea what is the difference between the two, check out the linked tutorial. Side note: We will be...
IF Statement Exercise: Assign 8 to the variable x and 15 to the variable y. In the same cell, create 2 conditional statements. Let the first one print "At least one of the conditions is satisfied." if x is greater than 3 or y is even. Let the second one print "Neither condition is...
In this post (which is a perfect companion to our SQL tutorials), we will pay attention to coding style. There are many ways you can write your code, but there are only a few considered professional. Complying with coding style rules is crucial. When you advance in programming, not only in SQL...
If this is your first time hearing about the OLS assumptions, don’t worry. If this is your first time hearing about linear regressions though, you should probably get a proper introduction. In the linked article, we go over the whole process of creating a regression. Furthermore, we show...
Why use Python 'requests' package? Data collection is an integral step of every company’s data analysis pipeline. Lucky for data science professionals, there are many ways to obtain useful data – through a company’s internal data collection mechanisms, by taking advantage of...
