30 - The One When Queries Beat Machine Learning
01/31/21 • 14 min
Can you solve a data-intensive business problem with just queries? If so, what is the difference between data science and, say, data analytics?
These are not just theoretical questions. The answers have a practical and significant impact on your daily work and well-being. In this episode, we will share a couple of mental models we use to think about these topics. Enjoy.
BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.
Can you solve a data-intensive business problem with just queries? If so, what is the difference between data science and, say, data analytics?
These are not just theoretical questions. The answers have a practical and significant impact on your daily work and well-being. In this episode, we will share a couple of mental models we use to think about these topics. Enjoy.
BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.
Previous Episode
29 - Forget that you are doing data science
One of the reasons why we love data science so much is because of the amazing methods, techniques, and technologies we can use to solve different problems. However, if you only focus on these technical tools, you will fall into the biggest trap in doing data science. In this episode, we will show you why that is the case, and when you should forget that you are doing data science.
BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.
Next Episode
31 - The Big Bang theory of data science (rebroadcast)
Having a Big Bang is one of the most common causes of data science project failures. And you probably have done it, at least a couple of times. In this episode, we will show you why it is often better to aim for sub-optimal solutions at the start of a project, and how you can avoid the Big Bang problem by following an ancient Japanese philosophy.
By the way, we are rebroadcasting this episode because it is one of our favourite early episodes. And the content can be very valuable to our new listeners.
Meanwhile, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.
If you like this episode you’ll love
Episode Comments
Generate a badge
Get a badge for your website that links back to this episode
<a href="https://goodpods.com/podcasts/naked-data-science-190600/30-the-one-when-queries-beat-machine-learning-17656169"> <img src="https://storage.googleapis.com/goodpods-images-bucket/badges/generic-badge-1.svg" alt="listen to 30 - the one when queries beat machine learning on goodpods" style="width: 225px" /> </a>
Copy