Big Data Explained, How to Become a Data Analyst, Differences Between Tableau and Python

In this episode, we discussed big data, how data analysis is done in digital marketing, what it takes to become a data analyst, who can become a data analyst, the differences between data engineers and data scientists, whether software knowledge is required for Tableau and Python, and shared all these topics with you in this podcast. Guest: Uğur Yiğit

A data analyst is a person who brings together millions of data points and interprets and compiles them using statistical formulas. Some concepts that we once only saw in statistics classes are now being used by all businesses today.

To become a data scientist / data analyst, one of today's most sought-after and well-paid professions, you should develop yourself in the fields of statistics and mathematics. In addition to this, you need to be able to use applications like Python, SQL, and Tableau. At the same time, you should have a good understanding of database logic.

You can think of Tableau as a much more advanced version of Excel. Tableau provides students and teachers with free licenses for 1 year. Therefore, if you are a student or teacher and want to learn Tableau, I recommend you not to miss this advantage. Click to download. You can also access all the materials needed to learn Tableau from the Learning section. The training language is English.

You can listen to this podcast on my website and access the podcast content at faruktoprak.com/bolum-7-data-analizi