To showcase your skills in Python for data science, consider projects that demonstrate real-world data handling and analysis. Examples include customer churn prediction, sales forecasting, sentiment analysis using social media data, recommendation systems, and healthcare data analysis. You can also build dashboards with libraries like Plotly or Dash to visualize insights effectively. These projects highlight your ability to clean, analyze, and interpret data using Python libraries such as pandas, NumPy, scikit-learn, and matplotlib. Building end-to-end solutions reflects both your technical and problem-solving abilities. Strengthen your expertise by enrolling in a data science course.
Enroll: https://www.theiotacademy.co/advanced-certification-in-data-science-machine-learning-and-iot-by-eict-iitg