Overview

This Applied Python Data Engineering course is offered by Coursera in partnership with Duke University.

What you'll learn

Create scalable big data pipelines (Hadoop, Spark, Snowflake, Databricks) for efficient data handling.
Build machine learning workflows (PySpark, MLFlow) on Databricks for seamless model development and deployment.
Implement DataOps/DevOps to streamline data engineering processes.
Formulate and communicate data-driven insights and narratives through impactful visualizations with Python and data storytelling

Skills you'll gain

Kubernetes

Site Reliability Engineering

Interactive Data Visualization

PySpark

Containerization

Virtualization

Apache Spark

Plotly

Databricks

Data Visualization Software

Docker (Software)

Programme Structure

Courses included:

Spark Hadoop and Snowflake for Data Engineering

Virtualization Docker and Kubernetes for Data Engineering

Data Visualization with Python

Key information

Duration

Part-time
- 5 months
- 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

Mountain View, United States

Disciplines

Data Science & Big Data Data Analytics View 463 other Short Courses in Data Science & Big Data in United States

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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

Intermediate level

Experience in working with Python, Git for version control, Docker for containerization and Kubernetes for deployment and scaling; also a strong foundation in linear algebra and statistics.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

Free
Out-of-State

Free
Domestic

Applies to you

In-State

Free

Additional Details

This short course is included with Coursera Plus subscription

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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Applied Python Data Engineering Coursera

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