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120: Don’t Learn Python as a Data Analyst (Learn This Instead)

Jul 24, 2024

Should beginners learn Python for a data analyst role? The podcast discusses why it may not be necessary due to the time and difficulty involved. Instead, focus on other skills like data visualization and SQL. Also explores the demand for Python skills in the industry.

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Quick takeaways

Learning Python as a beginner data analyst can be challenging due to its steep learning curve and time-consuming nature.

Entry-level data analyst positions may not require Python proficiency, prioritizing BI tool skills for immediate job opportunities.

Deep dives

Reasons to reconsider learning Python as a beginner data analyst

Learning Python as a beginner data analyst could have its challenges due to its steep learning curve. The installation process can be tricky, and using Python requires understanding programming concepts like loops, functions, and variables, making it time-consuming. BI tools like Power BI or Tableau offer a smoother learning curve with drag-and-drop interfaces, allowing for faster proficiency. Python's versatility in handling various data tasks also complicates learning, demanding a broader skill set to master effectively.

Challenges of Learning Python as a Beginner Data Analyst

7min

Although Python is talked about a lot in the data world, if you are aiming for your first data analyst role, I don’t think you should learn it.

It takes too much time, it’s hard to learn, and it’s hard to use.

In this episode, I’ll dive into more of the specifics and what to focus on instead.

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Timestamps:

(01:00) Why You Shouldn't Learn Python (04:11) Is Python in Demand? (06:03) What To Know in Python

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