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Updated in [August 31st, 2023]
Skills and Knowledge:
At the end of this course, you will have acquired the following skills and knowledge:
- Setup Postgres Database using Docker
- Connect to Postgres using different interfaces such as psql, SQL Workbench, Jupyter with SQL magic etc.
- Understand utilities to load the data
- Perform CRUD or DML Operations
- Write basic SQL Queries such as filtering, joins, aggregations, sorting etc
- Create tables, constraints and indexes
- Understand different partitioning strategies while creating tables
- Use pre-defined functions provided by Postgresql
- Write advanced SQL queries using analytic functions
- Interpret data models
- Use database IDEs to interact with databases
- Understand data loading strategies to load data into database tables
- Create tables, partition tables, indexes etc.
- Understand and use constraints effectively based up on the requirements
- Use functions provided by Postgresql effectively
- Understand the differences between RDBMS and Data Warehouse concepts by comparing Postgresql with Redshift.
Professional Growth:
This course contributes to professional growth by providing the following benefits:
1. Enhanced SQL skills: The course covers both basic and advanced SQL concepts, allowing professionals to improve their query writing and tuning capabilities. This skill is valuable for various roles, including application developers, data engineers, testers, business analysts, and IT professionals.
2. Database expertise: Professionals will gain a deep understanding of databases, including how to create database objects, write effective queries, and use utilities to load data. This knowledge is essential for working with databases in different applications, such as web and mobile applications, data logging applications, and analytical systems.
3. Improved productivity: By mastering SQL and Postgresql, professionals can improve their productivity in their respective roles. They will be able to interpret data models, use database IDEs to interact with databases, and effectively use constraints, functions, and other features provided by Postgresql.
4. Career readiness: College students and entry-level professionals can benefit from this course by gaining hands-on expertise in SQL, preparing them for interviews. Experienced application developers can also enhance their skills and understanding of databases, while testers can improve their query writing abilities for data validation. Additionally, developers from non-CS or IT backgrounds can acquire the necessary database skills to advance their application development capabilities.
5. Support and resources: The course offers a self-paced learning approach with reference materials, code snippets, and videos. Support is provided through the Udemy platform, allowing learners to ask questions and receive assistance from the course team. The recommended training approach suggests setting a target of completing 1 to 2 sections per week and completing exercises to ensure the achievement of key objectives.
Overall, this course equips professionals with essential SQL and database skills, enhancing their professional growth and enabling them to excel in their respective roles.
Further Education:
This course is suitable for preparing for further education. It covers key SQL concepts and teaches you how to create database objects, write effective queries, and more. It is designed for college students, entry-level professionals, experienced application developers, data engineers, testers, business analysts, and any other IT professionals who want to improve their query writing and tuning capabilities. The course also focuses on key objectives related to databases using Postgresql, such as interpreting data models, using database IDEs, loading data into database tables, and writing basic and advanced SQL queries. The training approach is self-paced with reference material, code snippets, and videos, and support is provided through the Udemy platform.
