2 months
678 USD/full
678 USD/full
Tuition fee
Apply date
Start date


In this course, you will learn to evaluate data structures and algorithms for any open-ended problem and implement a solution. Learn online with Data Streaming - Nanodegree at Udacity.

Visit the official programme website for more information


Learn how to process data in real-time by building fluency in modern data engineering tools, such as Apache Spark, Kafka, Spark Streaming, and Kafka Streaming with Data Streaming - Nanodegree at Udacity . You’ll start by understanding the components of data streaming systems. You’ll then build a real-time analytics application. 

Students will also compile data and run analytics, as well as draw insights from reports generated by the streaming console.


This program is designed to upskill experienced Software Engineers and Data Engineers to learn the latest advancements in data processing, sending data records continuously to support live updating.

The projects in the Data Streaming Nanodegree program will prepare you to develop systems and applications capable of interpreting data in real-time, and position you for roles in all industries that require live data processing for functions including big data, cloud computing, web personalization, fraud detection, sensor monitoring, anomaly detection, supply chain maintenance, location-based services, and much more.

Programme Structure


  • Streaming API Development and Documentation
  • Foundations of Data Streaming

Key information


  • Part-time
    • 2 months
    • 5 hrs/week

Start dates & application deadlines





Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

This Nanodegree program accepts everyone, regardless of experience and specific background.

The Data Streaming Nanodegree program is designed for students with intermediate Python and SQL skills, as well as experience with ETL. Basic familiarity with traditional batch processing and basic conceptual familiarity with traditional service architectures is desired, but not required.Intermediate Python programming knowledge, of the sort gained through the Programming for Data Science Nanodegree program, other introductory programming courses or programs, or additional real-world software development experience. Including:

  • Strings, numbers, and variables; statements, operators, and expressions;
  • Lists, tuples, and dictionaries; Conditions, loops;
  • Procedures, objects, modules, and libraries;
  • Troubleshooting and debugging; Research & documentation;
  • Problem solving; Algorithms and data structures

Tuition Fee

To alway see correct tuition fees
  • International

    678 USD/full
    Tuition Fee
    Based on the tuition of 678 USD for the full programme during 2 months.
  • National

    678 USD/full
    Tuition Fee
    Based on the tuition of 678 USD for the full programme during 2 months.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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