Explanation
Database Engineer In this course, you’ll learn everything you need to know to become a database engineer by learning Python, SQL, and Git from scratch. You’ll learn how to interact with databases to query, insert, and modify data and get hands-on experience importing and cleaning data in Python, optimizing your code for efficiency, and writing tests to validate your code. In this way, you will learn some important data engineering tools, starting with SQL and Python, before moving on to topics like cloud computing, data cleaning, and working with Git.
These basic skills allow you to work with data in a variety of ways, building the knowledge you need to become a data engineer. You will also learn important concepts and skills required of data engineers such as how to interpret data visualizations, create functions, and use version control. At the end of this track, you will be equipped with the necessary tools and knowledge to advance your career by managing general data engineering duties.
What will you learn?
- Understanding Data Engineering
- Introduction in SQL
- Medium SQL
- Introduction SQL Relational Database
- database design
- Introduction in Python
- Introduction Importing data in Python
- Understanding Cloud Computing
- cleaning Data in Python
- Text Efficient Python code
- straight Data eating pandas
- Understanding Data Image
- Introduction in Git
- software Engineering for Data Scientists in Python
Data Engineer Guidelines
The essence of Data Engineering
Pictures
Sample Clip
Installation Guide
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Subtitle : English
Quality: 720p
This course consists of 17 courses
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Understanding Data Engineering