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.
In this tutorial, we will be talking about a conditional construct called the SQL CASE statement. Side note: If you want to read about another advanced SQL topic, don’t think twice before diving into our tutorial on MySQL indexes. So, MySQL is a rich language and there are many ways a...
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...
If you are already familiar with the HAVING clause, you may find yourself in a situation and not know whether to use WHERE or HAVING. You may even be asking yourself – if we can use WHERE, why does the HAVING clause even exist? The HAVING clause is frequently implemented with GROUP BY...
If you’ve been researching or learning data science for a while, you must have stumbled upon linear algebra here and there. Linear algebra is an essential part of coding and thus: of data science and machine learning. But even then, you may be compelled to ask a question… Why is...
SQL and Tableau Have you heard about SQL? If you have ever questioned Google about the most popular programming languages around, you will have definitely seen SQL among the list of answers. More precisely, the structured query language, or SQL, is a language that has been specifically designed...
