Certified SQL Developer
Description
Certified SQL Developer
The Certified SQL Developer course is a rigorous, exam-focused program designed for aspiring and experienced database professionals who want to validate and certify their SQL expertise. Structured around six comprehensive exams, this course assesses and sharpens your skills in all essential areas of Structured Query Language (SQL), from foundational concepts to advanced data manipulation and optimization techniques.
Each of the six exams is designed to simulate real-world scenarios and test your ability to apply SQL knowledge across diverse use cases. Topics covered include data retrieval using SELECT queries, complex JOIN operations, subqueries, aggregate functions, data definition and manipulation (DDL/DML), indexing, stored procedures, views, transactions, and performance tuning.
To earn the Certified SQL Developer credential, candidates must pass all six exams, demonstrating consistent proficiency and mastery across the entire SQL spectrum. Whether you’re preparing for a job role, upgrading your skills, or seeking formal recognition of your SQL capabilities, this certification course delivers a professional and comprehensive learning path.
SQL Developer - Unleash the Power of Data Management!
SQL Developer is a professional responsible for developing, maintaining, and optimizing SQL code and database systems. They work closely with database administrators, data analysts, and software developers to design, implement, and manage relational databases. SQL Developers are proficient in SQL programming languages and have a deep understanding of database concepts.
The primary responsibilities of a SQL Developer may include:
Database Development: Designing and implementing database structures, tables, views, and stored procedures to meet business requirements. Writing efficient SQL queries to extract and manipulate data.
Database Optimization: Analyzing and optimizing the performance of database systems by identifying and resolving performance bottlenecks, implementing indexing strategies, and fine-tuning SQL queries.
Data Modeling: Collaborating with data architects to design and implement data models that ensure data integrity, scalability, and efficiency.
ETL (Extract, Transform, Load): Developing and maintaining ETL processes to extract data from various sources, transform it into the required format, and load it into the database.
Database Maintenance: Performing regular backups, ensuring data integrity, monitoring database performance, and applying security measures to protect sensitive data.
Collaboration and Support: Collaborating with cross-functional teams to understand business requirements, troubleshoot database issues, and provide technical support.
Certificate of Completion
If you would like to receive a certificate of completion, please report directly to instructor after successfully passing all exams. This certificate serves as a recognition of your achievement and mastery of the course material.
Can I retake the exams?
Yes, you're welcome to retake each exam as many times as you'd like. After completing an exam, you'll receive your final score. Each time you retake the exam, the questions and answer choices will be shuffled for a new experience.
Is there a time limit for the exams?
Yes, each exam has a time limit.
What score do I need to pass?
To pass each exam, you need to score at least 70%.
Are explanations provided for the questions?
Yes, detailed explanations are provided for every question to help you understand the material better.
Can I review my answers after the test?
Absolutely! You can review all your answers, including which ones were correct or incorrect.
Are the questions updated frequently?
Yes, the questions are regularly updated to ensure you're getting the most relevant and current information.
Who this course is for:
- Aspiring Database Professionals
- Database Developers and Engineers
- Data Analysts and Business Intelligence Professionals
- Software Developers and Application Programmers
- System and Database Administrators
- Data Scientists and Machine Learning Engineers
- IT Students and Recent Graduates
- Career Switchers and Self-Taught Learners
Instructor
EN
Python Developer/AI Enthusiast/Data Scientist/Stockbroker
Enthusiast of new technologies, particularly in the areas of artificial intelligence, the Python language, big data and cloud solutions. Graduate of postgraduate studies at the Polish-Japanese Academy of Information Technology in the field of Computer Science and Big Data specialization. Master's degree graduate in Financial and Actuarial Mathematics at the Faculty of Mathematics and Computer Science at the University of Lodz. Former PhD student at the faculty of mathematics. Since 2015, a licensed Securities Broker with the right to provide investment advisory services (license number 3073). Lecturer at the GPW Foundation, conducting training for investors in the field of technical analysis, behavioral finance, and principles of managing a portfolio of financial instruments.
Founder at e-smartdata
PL
Python Developer/AI Enthusiast/Data Scientist/Stockbroker
Jestem miłośnikiem nowych technologii, szczególnie w obszarze sztucznej inteligencji, języka Python big data oraz rozwiązań chmurowych. Posiadam stopień absolwenta podyplomowych studiów na kierunku Informatyka, specjalizacja Big Data w Polsko-Japońskiej Akademii Technik Komputerowych oraz magistra z Matematyki Finansowej i Aktuarialnej na wydziale Matematyki i Informatyki Uniwersytetu Łódzkiego. Od 2015 roku posiadam licencję Maklera Papierów Wartościowych z uprawnieniami do czynności doradztwa inwestycyjnego (nr 3073). Jestem również wykładowcą w Fundacji GPW prowadzącym szkolenia dla inwestorów z zakresu analizy technicznej, finansów behawioralnych i zasad zarządzania portfelem instrumentów finansowych. Mam doświadczenie w prowadzeniu zajęć dydaktycznych na wyższej uczelni z przedmiotów związanych z rachunkiem prawdopodobieństwa i statystyką. Moje główne obszary zainteresowań to język Python, sztuczna inteligencja, web development oraz rynki finansowe.
Założyciel platformy e-smartdata