Overview
Context
Take your data engineering career to the next level with our Python-focused Track. Building upon the foundational SQL knowledge from our Associate Data Engineer Track, this Data Engineer in Python course offered by Data Camp dives deeper into the world of data engineering, emphasizing Python's role in automating and optimizing data processes.
From Cloud Computing to Advanced Python Programming
Your journey begins with an understanding of cloud computing concepts and terminology. From there, you'll progress through Python programming from the basics to advanced topics, including:
- Data manipulation and cleaning using powerful libraries like pandas
- Importing and exporting data from various sources (CSV, Excel, SQL, JSON, APIs)
- Writing efficient, reusable code following best practices
- Applying software engineering principles for reliable and maintainable projects
- Engage in hands-on projects to reinforce your learning and gain practical experience tackling real-world data engineering challenges.
Master Data Pipelines and Workflow Automation
Learn to design and implement ETL and ELT pipelines, automate workflows with Apache Airflow, and use Git for version control in collaborative development. Apply software engineering best practices to build scalable, reliable data pipelines, ensuring efficient data processing and quality management.
Ideal for Aspiring and Experienced Data Engineers
Whether you're an aspiring data engineer looking to break into the field or an experienced professional seeking to enhance your Python skills, this Track is designed to meet your needs. With a focus on hands-on learning and real-world applications, you'll gain the confidence and expertise to tackle diverse data engineering projects.
Programme Structure
Courses
- Understanding Cloud Computing
- Intermediate Python for Developers
- Intermediate Importing Data in Python
- APIs in Python
- Cleaning Data in Python
- Bonus: Cleaning Bank Marketing Campaign Data
- Writing Efficient Python Code
- Streamlined Data Ingestion with pandas
- Intermediate Git
- Software Engineering Principles in Python
- Bonus: Performing a Code Review
- ETL and ELT in Python
- Apache Airflow in Python
- Bonus: Building a Retail Data Pipeline
- Bonus: Cleaning Data in Python
Key information
Duration
- Part-time
- 7 days
Start dates & application deadlines
Language
Delivered
Campus Location
- New York City, United States
Disciplines
Data Science & Big Data Web Technologies & Cloud Computing View 408 other Short Courses in Web Technologies & Cloud Computing in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This track is not suitable for beginners. Prior knowledge of the DataCamp track Associate Data Engineer in SQL is assumed.
- This Track is designed for aspiring data engineers. Through the courses in this Track, you'll be well-equipped with the tools and knowledge to progress your career in this field.
Prerequisites
- Associate Data Engineer
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions