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SQL, pronounced sql or sequel, stands for structured query language. It is a programming language used to access and manipulate databases. When working with large data sets, one of the problems can be extracting exactly what you need from it.
SQL helps with this. Professionals can communicate with relational database systems by cleaning, sorting, extracting and processing large data sets. The demand for SQL specialists continues to increase due to the valuable assets of big data and the need for professionals who can process, evaluate and analyze it.
There are different types of SQL certifications that are platform specific. Depending on the database technology you are interested in will help you determine which certification best suits your needs.
Link: Microsoft Azure Data Fundamentals
This course is aimed at beginners and can be completed in 1 month, spending 10 hours a week.
In this 5-course series, you will learn about the fundamentals of database concepts in a cloud environment. She will gain foundational skills in cloud data services and develop her foundational knowledge of cloud data services within Microsoft Azure.
The 5 courses are:
- Explore data basics in Microsoft Azure
- Microsoft AzureSQL
- Microsoft Azure Cosmos DB
- Modern data warehouse analytics in Microsoft Azure
- Preparing for DP-900: Microsoft Azure Data Fundamentals Exam
Link: Specialization in Oracle SQL Databases
This course is aimed at beginners and can be completed in 1 month, spending 10 hours a week.
The Oracle SQL Database specialization certification consists of 4 courses in which you will learn how to create Oracle SQL databases and understand how to insert, modify and delete Oracle SQL databases.
The 4 courses are:
- Oracle Database Fundamentals
- Oracle Database Platform
- Oracle SQL Basics
- Proficiency in Oracle SQL
Link: IBM Data Warehouse Engineer
This course is aimed at beginners and can be completed in 3 months, dedicating 10 hours a week.
The IBM Data Warehouse Engineer certification consists of 8 courses where you will learn the practical skills and most up-to-date knowledge used by data warehouse engineers, how to implement, manage, secure, monitor and optimize relational database systems such as MySQL and PostgreSQL . You will also gain knowledge of various types of SQL and queries to access and manipulate data in databases.
The 8 courses are:
- Introduction to data engineering
- Introduction to relational databases (RDBMS)
- SQL: A Practical Introduction to Querying Databases
- Practical introduction to Linux commands and Shell scripts
- Relational Database Administration (DBA)
- ETL and data pipelines with Shell, Airflow and Kafka
- Introduction to Data Warehousing and BI Analysis
- Data Warehousing Final Project
Link: IBM Business Intelligence (BI) Analyst Professional Certificate
This course is aimed at beginners and can be completed in 4 months.
With the IBM Business Intelligence Analyst certification, you can start your career in Business Intelligence in less than 4 months.
This certification is made up of 10 courses where you will learn about SQL queries, relational databases, data warehousing, data analysis, and reporting techniques. You will learn how to apply statistical analysis methods to identify trends, create visualizations, and generate valuable insights, leading to informed decision making and process improvement.
The 10 courses are:
- Business Intelligence (BI) Basics
- Excel Basics for Data Analysis
- Visualizing data and dashboards with Excel and Cognos
- Introduction to relational databases (RDBMS)
- SQL: A Practical Introduction to Querying Databases
- Introduction to Data Warehousing and BI Analysis
- Basics of statistics using Excel
- Getting started with Tableau
- Advanced data visualization with Tableau
- Final BI Analyst
Link: PostgreSQL specialization for everyone
This course is aimed at the intermediate level and can be completed in 1 month, dedicating 10 hours per week.
This PostgreSQL for Everybody certification consists of 4 courses. In these courses, you will learn from basics to advanced concepts of SQL. You'll delve into how to use the PostgreSQL database effectively, explore database design principles, database architecture, and implementation strategies, as well as compare and contrast SQL database design approaches. and NoSQL.
The 4 courses are:
- Database Design and Basic SQL in PostgreSQL
- Intermediate PostgreSQL
- JSON and natural language processing in PostgreSQL
- Database architecture, scale and NoSQL with Elasticsearch
Although knowledge and experience are prioritized over certification. It's important to know that hiring managers prefer certified candidates. When choosing the right SQL certification, be sure to consider the particular provider or platform applying for the job you want.
nisha arya is a data scientist and freelance technical writer. She is particularly interested in providing professional data science advice or tutorials and theory-based data science insights. She also wants to explore the different ways in which artificial intelligence can benefit the longevity of human life. A great student looking to expand her technological knowledge and writing skills, while she helps guide others.
