By the end of this project, you will create your own Extract, Transform and Load (ETL) process by using Python on Visual Studio Code
During the course of this project, you will be using Python over VS code as the main tool to build your very own ETL process from courses and ratings dataset over SQLite3. The learner will copy the data into his own created database, extract specific records, transform them and finally load them onto a new database.
ETL process is viewed as the core of any application, as any further step that requires dealing with the data stored such as: data Analytics, data processing or applying any sort of Machine Learning algorithms will inevitably point out to the start point, which is the ETL process.
This guided project is for people who are aiming to start their career in the broad field of Data Engineering and the specific field of Data Management. It will also be of interest for people who are keen on enhancing their programming skills using Python.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
During the course of this project, you will be using Python over VS code as the main tool to build your very own ETL process from courses and ratings dataset over SQLite3. The learner will copy the data into his own created database, extract specific records, transform them and finally load them onto a new database.
ETL process is viewed as the core of any application, as any further step that requires dealing with the data stored such as: data Analytics, data processing or applying any sort of Machine Learning algorithms will inevitably point out to the start point, which is the ETL process.
This guided project is for people who are aiming to start their career in the broad field of Data Engineering and the specific field of Data Management. It will also be of interest for people who are keen on enhancing their programming skills using Python.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
