Description
Data Engineer, Data Engineering training course is published by Datacamp Academy. Along the way, you’ll discover everything you need to become a data engineer by learning Python, SQL, and Git from scratch. You’ll discover how to interact with relational databases to query, insert and modify data, and gain hands-on experience inserting and deleting data in Python, optimizing your code for performance, and writing tests to validate your code. you will Along the way, you’ll learn some essential data engineering tools, starting with SQL and Python, before tackling topics like cloud computing, data cleansing, and working with Git.
These foundational skills will help you work with data in a variety of ways and gain the knowledge you need to become a data engineer. You’ll also learn key concepts and skills needed by 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 tools and knowledge to advance your career by performing common data engineering tasks.
What you will learn
- Familiarity with data engineering
- Intermediate SQL
- Introduction to relational databases in SQL
- Database design
- Introduction to Python
- An introduction to data entry in Python
- Input data in Python
- Familiarity with cloud computing
- Cleaning data in Python
- Write efficient Python code
- Continuous data consumption with pandas
- Understanding data visualization
- Introduction to Git
- Software engineering for data scientists in Python
Data Engineer course specifications
- Publisher: Datacamp
- teacher : Hadrien Lacroix , Izzy Weber
- English language
- Education level: all levels
- Number of courses: 17
- Training duration: 57 hours and 0 minutes
Chapters of the Data Engineer course
Pictures
Sample video
Installation guide
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English subtitle
Quality: 720p
This skill consists of 17 courses.
download link
Understanding Data Engineering
File(s) password: www.downloadly.ir
Size
1.53 GB
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