At Data Science Dojo, we believe that you do not need an advanced degree or months of training to get started with data science. Our hands-on curriculum will get you started with practical data science and data engineering in just 5 days: Learn the theory and practice of data science and engineering using state of the art tools. Explore, visualize, and cluster data. Build and evaluate predictive models for classification and regression. Design online experiments. Build an end-to-end internet of…

What we'll do: Understanding A/B testing, requires some very basic understanding (and intuition) of Statistics at 101 level. To keep the tutorial self-contained, I will first give an overview of stats fundamentals needed to understand A/B testing. Next, I will explain how A/B testing is done in an online business. In the end, I will mention some of the pitfalls that are common when running online experiments. This tutorial will roughly be divided into these parts: • Introducing A/B testing.…

What we'll do: dplyr is a a great tool to perform data manipulation. It makes your data analysis process a lot more efficient. Even better, it's fairly simple to learn and start applying immediately to your work! Oftentimes, with just a few elegant lines of code, your data becomes that much easier to dissect and analyze. For these reasons, it is an essential and foundational skill to master for any aspiring data scientist. Often one may be surprised how some…

At Data Science Dojo, we believe that you do not need an advanced degree or months of training to get started with data science. Our hands-on curriculum will get you started with practical data science and data engineering in just 5 days: Learn the theory and practice of data science and engineering using state of the art tools. Explore, visualize, and cluster data. Build and evaluate predictive models for classification and regression. Design online experiments. Build an end-to-end internet of…

What we'll do: dplyr is a a great tool to perform data manipulation. It makes your data analysis process a lot more efficient. Even better, it's fairly simple to learn and start applying immediately to your work! Oftentimes, with just a few elegant lines of code, your data becomes that much easier to dissect and analyze. For these reasons, it is an essential and foundational skill to master for any aspiring data scientist. Often one may be surprised how some…