Description
Hands-On Advanced Python: Data Engineering Basics. Designed for professional Python developers, this course is delivered in a hands-on, interactive format, focusing on key data engineering skills and interview preparation. In this course, instructor Joe Marini leads five data-driven coding challenges that include data analysis, working with sets, mathematics, and statistics. Using the CoderPad interactive environment and sample datasets such as weather data, participants practice skills such as filtering, sorting, data transformation, grouping, and statistical analysis. Key sections of the course include JSON data analysis, basic data operations, working with sets with defaultdict and reduce, statistical calculations, and outlier detection. This course is suitable for those looking to strengthen their Python skills in the data engineering field, and a prerequisite is mastering Python fundamentals. At the end, solutions are provided for continuing their learning path.
What you will learn:
- Data Analysis and Exploration in Python
- Working with different types of collections in Python
- Using mathematical and statistical concepts in Python
- Solve practical coding challenges with real-time feedback
- Strengthen advanced Python coding skills
- Preparing for Data Engineering Job Interviews
Who is this course suitable for?
- Advanced-level Python developers looking to enhance their data engineering skills.
- People who want to prepare for data engineering roles and are looking for hands-on practice.
- Those who want to learn how to use Python for advanced data analysis and manipulation.
Hands-On Advanced Python: Data Engineering Basics Course Specifications
- Publisher: Linkedin
- Instructor: Joe Marini
- Training level: Advanced
- Training duration: 1 hour and 56 minutes
Course topics
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
File size
288 MB
