Episode 7: What is Big Data, How to Become a Data Analyst, What are the Differences Between Tableau and Python

Episode 7 Podcast Topic

In this episode, we skillfully delved into big data, offering valuable insights on how to conduct data analysis for digital marketing. We assertively communicated what it takes to become a data analyst and who can pursue a career in data analysis. We clearly distinguished between data engineers and data scientists, and provided expert advice on the software knowledge required for Tableau and Python. We thoroughly covered all these topics and more in this exceptional podcast, leaving no stone unturned.

What is a Data Analyst?

As a data analyst, your job is to gather millions of data points, interpret them, and compile them using statistical formulas. You bring valuable insights to businesses that were once limited to statistics courses, making you an essential part of any data-driven team.

To become a highly sought-after data scientist or data analyst with a lucrative career, you must enhance your skills in statistics and mathematics. Equally important is proficiency in essential applications such as Python, SQL, and Tableau, which are critical to success in this field. Additionally, a solid understanding of database logic is essential to your success.

What is Tableau?

Tableau is an advanced version of Excel that provides students and teachers with a unique opportunity to use it for free with a one-year license. As a student or teacher who wants to learn Tableau, you definitely don’t want to miss out on this advantage. Simply click to download it and access all the necessary materials from the Learning section. The instruction is in English. So, don’t hesitate to take your skills to the next level with Tableau today!

Terms Used

Data Scientist

Data Analyst

Tableau: Application Name

Python: Application Name

Digital marketing 7th episode podcast guest Uğur Yiğit. You can reach him at [email protected] e-mail address.