The Database [for Data Science & Data Analytics] course at Naresh IT is designed to build a strong foundation in database concepts essential for data-driven careers. This course focuses on how data is stored, retrieved, managed, and optimized for analytics and data science applications. Learners will understand relational databases, SQL querying, data modeling, and performance tuning from a practical perspective. With real-world datasets and analytical use cases, the course bridges the gap between raw data and meaningful insights. It prepares learners to work confidently with databases in analytics platforms, reporting tools, and data science workflows used across industries.

This course provides a comprehensive understanding of databases and SQL tailored for Data Science and Data Analytics professionals. Learners will explore database fundamentals, relational models, tables, constraints, joins, subqueries, views, indexes, and stored procedures. Emphasis is placed on writing optimized SQL queries to extract, transform, and analyze large volumes of data efficiently.
The curriculum also introduces data normalization, schema design, and best practices for handling analytical datasets. Practical sessions include working with real-world scenarios such as reporting, trend analysis, and data preparation for visualization and machine learning. Designed by experienced trainers at Naresh IT, this course equips learners with database skills that are critical for data analysis, business intelligence, and data science roles.

The primary objective of the Database [for Data Science & Data Analytics] course is to enable learners to work confidently with structured data for analysis and decision-making.
By the end of this course, learners will be able to:

• Understand core database concepts and relational data models

• Design and manage databases optimized for analytical workloads

• Write complex SQL queries using joins, subqueries, and functions

• Perform data filtering, aggregation, and transformation effectively

• Apply indexing and optimization techniques for better query performance

• Prepare data for reporting, dashboards, and data science models

• Analyze large datasets with accuracy and efficiency

• Meet industry expectations for database skills in analytics roles

This course helps learners become data-ready professionals with strong database expertise.