Data Engineer in Python

Certification available

4.2+

Gain in-demand skills to efficiently ingest, clean, manage data, and schedule and monitor pipelines, setting you apart in the data engineering field.

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Track Description

Data Engineer in Python

Advance Your Data Engineering Skills with Python

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 Track 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.

Unlock New Career Opportunities

As companies increasingly rely on data-driven decision making, the demand for skilled data engineers continues to grow. By completing this Track, you'll be well-positioned to:

Pursue data engineering roles across various industries
Collaborate effectively with data scientists and analysts
Contribute to the development of data-intensive applications
Drive business value through efficient data management and analysis

Invest in your future and unlock new career opportunities with the Data Engineer in Python Track.

Prerequisites

Associate Data Engineer

Course
1
Understanding Cloud Computing
A non-coding introduction to cloud computing, covering key concepts, terminology, and tools.
Course
2
Introduction to Python for Developers
Master the fundamentals of programming in Python. No prior knowledge required!
Course
3
Intermediate Python for Developers
Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!
Course
4
Introduction to Importing Data in Python
Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.
Course
5
Intermediate Importing Data in Python
Improve your Python data importing skills and learn to work with web and API data.
Course
6
Introduction to APIs in Python
Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.
Course
7
Cleaning Data in Python
Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!
Project
bonus
Cleaning Bank Marketing Campaign Data
Tidy a bank marketing campaign dataset by splitting it into subsets, updating values, converting data types, and storing it as multiple csv files.
Course
9
Writing Efficient Python Code
Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.
Course
10
Streamlined Data Ingestion with pandas
Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.
Course
11
Introduction to Git
Discover the fundamentals of Git for version control in your software and data projects.
Course
12
Intermediate Git
Discover branches and remote repos for version control in collaborative software and data projects using Git!
Course
13
Software Engineering Principles in Python
Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.
Project
bonus
Performing a Code Review
Review a data analysis workflow for adherence to Python standards and best-practices.
Course
15
ETL and ELT in Python
Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.
Course
16
Introduction to Apache Airflow in Python
Learn how to implement and schedule data engineering workflows.
Project
bonus
Building a Retail Data Pipeline
Test your Data engineering skills by creating a data pipeline to analyze E-commerce business of Walmart!
Resource
bonus
Cleaning Data in Python
In this live training, we will work on cleaning a dataset of audiobooks from audible.in