When I started learning Python in 2017 I was confused by it's numerous career paths & salaries😕

Here's a simple explanation for 6️⃣ career options which offer BIG SALARIES 💰 💰🚀

1️⃣ Python Back-end Engineer

🟢 Develop standalone components back-ends using core Python,

🟠 Write REST APIs using Django, Flask or other frameworks

🔵 Help write scripts to automate tasks

2️⃣ Data Engineer

🟢Important & well 💰 role in a data driven world

🟠 Design, build & maintain systems that collect, manage, & convert raw data into usable information

🔵 Build pipelines/APIs for data fetching, manipulation & modelling using Flask, Pandas, Numpy, PySpark

3️⃣ Data Scientists

🟢One of the highest 💰 role

🟠 Perform Exploratory Data Analysis(EDA) for actionable insights using Pandas, Numpy & visualization libraries like Matplotlib, Plotly, Searborn etc

🔵 Devising & applying machine learning models and algorithms

4️⃣ Machine Learning Engineers

🟢ML engineers & more software developers than data scientists

🟠Use & make minor tweaks to ML models, deploy them to production & make them available at scale.

🔵Monitor model performance, maintenance, debugging.

5️⃣ DevOps Engineers

🟢Python is one of the primary technologies used by teams practicing DevOps

🟠Develop & maintain Automation & monitoring scripts in Python

🔵MLOps role which caters to continuous integration & development of ML algorithms falls in this area

6️⃣ Data Analyst

🟢 This profile is all about telling stories with data

🟠 Presenting findings in an easy-to-understand way to inform data-driven decisions

🔵 Analyzing data sets to spot trends and patterns that can be translated into actionable insights

Hello 👋

I am Jaydeep from India 🇮🇳

Full time Software Engineer & part time content creator on
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