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Data Engineer in Python

Certification available
4.0+
20 reviews
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 journey to becoming a Data Engineer with our Python-focused track, which is ideal for those with 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. Starting with an understanding of cloud computing, you'll progress through Python programming from basics to advanced topics, including data manipulation, cleaning, and analysis. Engage in hands-on projects to apply what you've learned in real-world scenarios. You'll explore efficient coding practices, software engineering principles, and version control with Git, preparing you for professional data engineering challenges. Introduction to data pipelines and Airflow will equip you with the skills to design, schedule, and monitor complex data workflows.

Prerequisites

Associate Data Engineer

  • Course

    1

    Understanding Cloud Computing

    A non-coding introduction to cloud computing, covering key concepts, terminology, and tools.

  • Course

    6

    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

    8

    Writing Efficient Python Code

    Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

  • Course

    10

    Introduction to Git

    Discover the fundamentals of Git for version control in your software and data projects.

  • Course

    11

    Intermediate Git

    Discover branches and remote repos for version control in collaborative software and data projects using Git!

  • Project

    bonus

    Performing a Code Review

    Review a data analysis workflow for adherence to Python standards and best-practices.

  • Course

    14

    ETL and ELT in Python

    Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.

  • Resource

    bonus

    Cleaning Data in Python

    In this live training, we will work on cleaning a dataset of audiobooks from audible.in

Data Engineer in Python
13 courses
Track
Complete

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Don’t just take our word for it

*4.0
from 20 reviews
55%
15%
20%
0%
10%
  • Wasiu S.
    2 months

    The certification exam was not an easy one but fulfilling.

  • Ghebremichael G.
    2 months

    I am most impressed with the richness of real world practical exercises that are important for aquiring the skillsets a python data engineer requires. Software development principles and effective coding are part of the track that every software developer has to learn. The availabilty of everyday practice exercises for every course give sense to the the learning process.

  • Lyndon H.
    7 months

    All you need for ETL, if you need to ask do the course.

  • Tracy N.
    7 months

    It is a beginner friendly and well structured track.

  • Carsten H.
    10 months

    Awesome learning experience: Every morning I‘ve done a chapter. It took some time to finish the whole learning track, but it‘s totally worth.

"The certification exam was not an easy one but fulfilling."

Wasiu S.

"All you need for ETL, if you need to ask do the course."

Lyndon H.

"It is a beginner friendly and well structured track."

Tracy N.

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