Here are the essential technologies you must learn:

• Python
• Databases
• Feature Engineering
• Data Visualization
• Data Analytics
• Data Integration and Transformation Techniques
• Building Machine Learning Models
• Building Secure Web Applications
• Artificial Intelligence
• Machine Learning
• Ensemble Learning
• Clustering & Time Series Analysis
• Deep Learning
• Deep Neural Networks
• Advanced Deep Learning
• Cloud Computing for Data Engineering

End-to-End Projects

Work on at least 3 comprehensive projects.

Interview Preparation

• Fundamental Concepts: Master both basic and advanced topics outlined above.
• Scenario-Based Questions: Solve 50+ questions for each of the above technologies.
• Mock Interviews: Practice regularly to sharpen your skills.