Is Python Really Essential for Data Analysis as a Fresher?

Starting out in data analysis can be overwhelming, especially when everyone seems to say Python is a must-have. But here’s a fresher’s reality check: Python is not always required at the start!

💡 Why You Don’t Need to Worry About Python Right Away:
1️⃣ Excel, Power BI and SQL First! - Many entry-level roles prioritize skills in Excel and SQL. These tools alone can handle a lot of data tasks like cleaning, aggregating, and visualizing data.
2️⃣ Gradual Learning Path 📈 - Once you’re comfortable with the basics, Python is a powerful next step, especially for handling larger datasets or automating processes.
3️⃣ Value in Flexibility - Python’s libraries like Pandas and Matplotlib allow for more complex analysis, but they’re skills you can learn over time as you grow in your role.

🔑 Takeaway? Start with what’s essential—Excel, Power BI and SQL—and build your Python skills as you gain more experience.

Pandas basics to advanced.pdf

Python for Web3 and Smart Contracts Roadmap

Stage 1 – Python Basics (Syntax, OOP)
Stage 2 – Blockchain Fundamentals (Transactions, Ledgers)
Stage 3 – Web3(.)py and Ethereum Basics
Stage 4 – Smart Contracts with Solidity
Stage 5 – Decentralized Storage (IPFS)
Stage 6 – Integrate Wallets and MetaMask
Stage 7 – Decentralized Application (DApp) Development
Stage 8 – Deploy and Test Smart Contracts

🏆 – Python Web3 Developer

TOP 10 Python Concepts for Job Interview

1. Reading data from file/table
2. Writing data to file/table
3. Data Types
4. Function
5. Data Preprocessing (numpy/pandas)
6. Data Visualisation (Matplotlib/seaborn/bokeh)
7. Machine Learning (sklearn)
8. Deep Learning (Tensorflow/Keras/PyTorch)
9. Distributed Processing (PySpark)
10. Functional and Object Oriented Programming

2 Years of Python Experience in one article 👇👇
https://medium.com/@data_analyst/2-years-of-python-experience-in-one-article-71e855c143f3?sk=16e4684a4caea308f6cd08bca0a7dfde

⌨️ Data Types In NumPy

Many people pay too much to learn Python, but my mission is to break down barriers. I have shared complete learning series to learn Python from scratch.

Here are the links to the Python series

Complete Python Topics for Data Analyst: https://t.iss.one/sqlspecialist/548

Part-1: https://t.iss.one/sqlspecialist/562

Part-2: https://t.iss.one/sqlspecialist/564

Part-3: https://t.iss.one/sqlspecialist/565

Part-4: https://t.iss.one/sqlspecialist/566

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Part-6: https://t.iss.one/sqlspecialist/570

Part-7: https://t.iss.one/sqlspecialist/571

Part-8: https://t.iss.one/sqlspecialist/572

Part-9: https://t.iss.one/sqlspecialist/578

Part-10: https://t.iss.one/sqlspecialist/577

Part-11: https://t.iss.one/sqlspecialist/578

Part-12:
https://t.iss.one/sqlspecialist/581

Part-13: https://t.iss.one/sqlspecialist/583

Part-14: https://t.iss.one/sqlspecialist/584

Part-15: https://t.iss.one/sqlspecialist/585

I saw a lot of big influencers copy pasting my content after removing the credits. It's absolutely fine for me as more people are getting free education because of my content.

But I will really appreciate if you share credits for the time and efforts I put in to create such valuable content. I hope you can understand.

You can refer these amazing resources for Python Interview Preparation.

Complete SQL Topics for Data Analysts: https://t.iss.one/sqlspecialist/523

Complete Power BI Topics for Data Analysts: https://t.iss.one/sqlspecialist/588

I'll continue with learning series on Excel & Tableau.

Thanks to all who support our channel and share the content with proper credits. You guys are really amazing.

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