Python for Data Engineers
Course description
If you want to take your skills in Data Engineering to the next level - you are in the right place. Python has become the main language for data analysis and machine learning, and in this course, you will learn to use it effectively for creating reliable data pipelines and data processing.
Read more about the course
This comprehensive training program is designed for data engineers of any level. Whether you are just beginning your journey in data engineering or already have experience and want to expand your skillset, the course will provide you with all the necessary tools for success.
Upon completion of the training, you will have a solid foundation in Python and Data Engineering, and you will be ready to confidently tackle complex tasks in real projects.
What you will learn:
- Utilize advanced features of Python
- Transform data using the pandas library
- Work with API, PostgreSQL databases, dates, and JSON
- Understand object-oriented programming: classes, objects, data validation
- Write unit tests and handle exceptions
- Apply modules and use NumPy for numerical computations
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All Course Lessons (19)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Introduction Demo | 01:51 | |
| 2 | Classes | 04:38 | |
| 3 | Modules | 03:07 | |
| 4 | Exception-handling | 08:56 | |
| 5 | Logging | 05:13 | |
| 6 | Datetime | 08:05 | |
| 7 | JSON | 09:55 | |
| 8 | JSON Validation | 15:11 | |
| 9 | UnitTesting | 16:45 | |
| 10 | Pandas: Intro & data types | 08:44 | |
| 11 | Pandas: Appending & Merging DataFrames | 07:50 | |
| 12 | Pandas: Normalizing & Lambdas | 04:13 | |
| 13 | Pandas: Pivot & Parquet write, read | 06:18 | |
| 14 | Pandas: Melting & JSON normalization | 08:16 | |
| 15 | Numpy | 04:48 | |
| 16 | Requests (Working with APIs) | 11:16 | |
| 17 | Working with Databases: Setup | 04:07 | |
| 18 | Working with Databases: Tables, bulk load, queries | 08:13 | |
| 19 | Conclusion | 03:52 |
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