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.
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,...
The SQL GROUP BY clause could seem intuitive at the beginning, but understanding it is a must when writing more advanced SQL queries. Mastering this feature will make your life easier; without it, you can end up in deep trouble. So, please be very careful! Side note: If you want to learn...
In order to become an advanced data scientist, it is crucial to understand how to manipulate data and use operators in SQL. We will be working with databases, so being familiar with them is essential. Let’s take it to the next level! It’s time to start manipulating and retrieving data...
If you want to expand your knowledge in statistics, understanding how the Central Limit Theorem works, will be right up your street. Before we start, you can also watch our video on the topic - just press "play" below or scroll down if you prefer reading. First, let’s introduce a concept...
Figuring out exactly what the null hypothesis and the alternative hypotheses are, is not a walk in the park. Hypothesis testing is based on the knowledge that you can acquire by going over what we have previously covered about statistics in our blog. So, if you don’t want to have a hard...
