Data Science Engineering With Data Analytics

Data Science Engineering is a field that focuses on the application of data science principles and techniques to solve complex problems and make data-driven decisions. It combines expertise in mathematics, statistics, computer science, domain knowledge, and data analysis to extract valuable insights from data.

Curriculum:

• Module 1 Data Science Engineering
• Data Science Engineering
• Introduction to Data Science Engineering
• Data Acquisition and Cleaning
• Data Visualization
• Statistical Analysis
• Machine Learning Fundamentals
• Feature Engineering
• Machine Learning Algorithms
• Deep Learning and Neural Networks (Optional)
• Time Series Analysis (Optional)
• Big Data and Distributed Computing (Optional)
• Model Deployment and Production
• Project
• Ethics and Responsible AI
• Module 2 Business Analytics with Excel.
• Module 3 Power BI
• Module 4 Database Management System
• Module 5 Tableau
• Module 6 Python for Data Analysis
• Module 7 Introduction to R
• Module 8 Career Development and Soft Skills