SQL Developer

Full-stack data science covers the entire spectrum of data handling, from gathering and manipulating data to backend processing, model deployment, and the implementation of complete machine learning solutions including natural language processing (NLP), computer vision (CV), and traditional machine learning algorithms. This approach integrates the entire pipeline of data science workflows into a cohesive skill set, allowing professionals to manage and execute projects from start to finish.

Skills You Will Gain

Machine Learning

Deep Learning














Image Processing


This course includes

Syllabus Overview

SQL Developer

  • To equip students with the foundational knowledge of SQL and relational databases necessary for any software developer.
    • Topics Covered:
      • Introduction to databases: Types and characteristics.
      • Basic SQL: Data types, operators, and syntax.
      • Database schema design: Keys, indexing, normalization.
    • Learning Outcomes:
      • Understand and implement basic SQL commands for data manipulation.
      • Design efficient database schemas for small to medium-sized applications.
    • Assessment:
      • Multiple choice quiz and a project designing a database for a hypothetical application.
  • To master advanced SQL queries and database management features that are critical for backend development.
    • Topics Covered:
      • Advanced data querying: Joins, subqueries, and set operations.
      • Database transactions and concurrency control.
      • Stored procedures, triggers, and functions.
    • Learning Outcomes:
      • Create complex SQL queries for sophisticated data retrieval.
      • Manage database transactions effectively to ensure data integrity.
    • Assessment:
      • Practical SQL assignments and a case study analysis involving real-world data.
  • To learn practical integration of SQL databases with software applications, focusing on real-world application scenarios.
    • Topics Covered:
      • Database connectivity with programming languages (Python, Java, C#).
      • Developing RESTful APIs for database interaction.
      • Security practices in database applications, including mitigation of SQL injection.
    • Learning Outcomes:
      • Implement secure and efficient database interactions within software applications.
      • Develop and deploy RESTful services that interact with databases.
    • Assessment:
      • Development of a web application that uses a SQL database for data storage and retrieval.
  • To explore modern database solutions and understand their application in software development.
    • Topics Covered:
      • Overview of NoSQL databases and when to use them.
      • Introduction to ORM technologies like Hibernate and Entity Framework.
      • Scalability and maintenance of database systems.
    • Learning Outcomes:
      • Evaluate and implement appropriate database solutions based on project requirements.
      • Use ORMs for database operations to enhance code maintainability.
    • Assessment:
      • Comparative project implementing a feature using both SQL and NoSQL databases.
  • To synthesize all learned skills in a comprehensive project and prepare for competitive job interviews.
    • Topics Covered:
      • Project planning and database architecture design.
      • Full-stack application development integrating SQL databases.
      • Interview preparation and advanced problem-solving in SQL.
    • Learning Outcomes:
      • Develop a full-scale application demonstrating competent use of SQL.
      • Prepare effectively for technical interviews involving SQL and databases.
    • Assessment:
      • Capstone project presentation and defense, and a mock technical interview focusing on SQL.
  • Workshops: Regular workshops on new database technologies and best practices.
  • Guest Lectures: Industry experts sharing insights and trends in database management.
  • Practice Platforms: Encouraged use of platforms like LeetCode for SQL practice.

Transform Your Skills: Enroll Now to Learn

Speak to our career counsellor for detailed overview of SCAI Data Science Course. For a more detailed explanation of what SCAI Data Science can offer don’t hesitate to contact our team today. We will set up a personalized demo and meeting with our experts and counsellors who can answers questions you may have Let’s take your career to next level with SCAI!! If you’re interested in upskilling your career with a data science course, SCAI offers a comprehensive program designed to equip you with the necessary skills knowledge for success in this field.

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