Udacity Data Streaming Nanodegree Review 2024: Learn Data Streaming from Udacity

Udacity Data Streaming Nanodegree Featured Image
Udacity Data Streaming Nanodegree

Udacity Data Streaming Nanodegree

In this Udacity Data Streaming Nanodegree review, I will talk about how Udacity will help you to master the skills of Data Engineering.

Udacity is offering personalised discount.

Reviews from graduates of Data Streaming Nanodegree

Ahmed M Emad Linkedin

Ahmed M. Emad

Senior Big Data Engineer at Vodafone Intelligent Solutions

Finally done with the Nanodegree from Udacity.

It was a great course and very informative. It covers the core concepts of data streaming using Kafka ecosystem and Apache Spark.

     -via LinkedIn

Pankaj Koti

Data Engineer

Greetings everyone, hope you all are well :))

I am happy to share that I graduated with my 2nd Nanodegree with Udacity in “Data Streaming” (The 1st one was in “Data Engineering”). With this, I learned 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. It started by understanding the components of data streaming systems. And then building a real-time analytics application. I was able to compile data analytics, as well as draw insights from reports generated by the streaming console. You can find the projects I worked on for this Nanodegree in my GitHub profile: https://lnkd.in/eHHKiyr

Many many thanks to Andrew PetteyBartosz ZieleźnikJana WeerdOLX GroupNaspers LimitedProsus Group, and Udacity for providing me with this precious opportunity and enabling me with all the support I needed throughout the journey.

     -via LinkedIn

Obinna Iheanachor Linkedin

Obinna Iheanachor

Data Analyst at M-KOPA Solar

Whether you are a proficient Data Scientist looking to brush up on your skills or an aspiring Data Scientist looking to pick up new skills and advance in your career, #udacity‘s Data Scientist Nanodegree provides a perfect blend of #datascience alongside #softwareengineeringpractices with relevant projects to help you on your journey.

In this Nanodegree I worked on these projects:
1. Analysis of Seattle’s #airbnb Market https://lnkd.in/dZ3nwRA

2. Uploading a #python package that calculates and plots Binomial and Gaussian distributions on PyPI

3. Building a Recommendation Engine for the #ibmwatson platform

4. Building a #flask app that classifies disaster images into relevant categories

5. Building a Customer Churn model for Sparkify, a music streaming platform using #apachespark

This is no doubt one of the most rewarding courses I’ve taken so far and I’m immensely grateful to Joshua Bernhard and all the Data Scientist Nanodegree faculty for an amazing course experience.

Learning never stops!!

     -via LinkedIn

Surya Prakash Kosana Linkedin

Surya Prakash Kosana

Senior Data Engineer

Started a new journey in understanding Kafka architecture with Udacity Data Streaming Nano Degree program. Successfully completed. Awesome explanation of Benjamin Goldberg about Kafka internals, data Ingestion with Kafka, stream processing with Faust, and ksql. Kafka streaming and spark streaming integration gave a kickstart in the journey to learn more. Thanks a ton.
There is so much to learn.
Journey to be continued … #udacity #streaming

     -via LinkedIn

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Today every organization and company has lots of tons of data in comparison to a decade earlier. The Advancement in technology has made it accessible to people all around the world. Everyone is using the Internet and technology nowadays, contributing small data to any of the large datasets maintained by the company. In this Udacity Data Streaming Nanodegree Review, 2022 we will discuss that is it worth learning Data Streaming from Udacity?

Developing algorithms to convert raw data into useful resources and finding trends in various datasets along with Data Streaming is handled by Data Engineers. They are responsible for designing and engineering sustainable infrastructure for converting data into a usable format.

There is a huge demand for skilled Data Engineers worldwide. It is one of the most trending jobs in the US Market. They are also paid a handsome package that is above the market average. 

There are various skills required to become a proficient Data Engineer. Data Engineers have a strong base of programming languages such as Python, C++, Scala, Ruby, etc. Advanced knowledge of SQL and RDBMS, managing and optimizing Big Data pipelines and architectures.

You can learn the skills of Data Engineering with Udacity Data Streaming Nanodegree. This Udacity Data Streaming Nanodegree Review will help you a lot in understanding the program structure, its syllabus, duration, pros and cons. With the help of this Udacity Data Streaming Nanodegree you can learn the skills to build real-time applications to process big data at scale.

There are real world projects in this Nanodegree which will help you a lot in gaining practical experience and provide you exposure to the industry standards.

About the Udacity Data Streaming Nanodegree

Udacity Data Streaming Nanodegree

Udacity Data Streaming Nanodegree is a collection of courses, lessons, and projects designed to enhance your skills and add valuable knowledge required to become a successful Data Engineer.

Various fundamental topics such as Stream processing, Apache Kafka, KSQL, Redis, Base64, Joins and JSON will be taught in detail by the world-class professionals. After the completion of the course, you will be confident in processing big data at scale.

Udacity is a trusted name and giant in online educational platforms aimed to help students and professionals to enhance and develop their skills to give a boost to their career with the help of various online courses related to programming and other technical topics or subjects.

There are certain prerequisites required for this Udacity Data Streaming Nanodegree. This Data Streaming Nanodegree required intermediate Python programming and SQL skills along with hands-on experience with ETL (Extract, Transform, Load).

This Nanodegree is for Intermediate programmers. If you are a beginner and want to learn Data Engineering and Streaming skills with this Nanodegree then we recommend you to complete Udacity Programming for Data Science with Python Nanodegree first.

Udacity is a well-known platform in the field of online education and learnings, they are popular for the top-rated instructors of their courses and programs, they provide valuable and useful content to any of the students and professionals trying to learn new skills.

After the completion of this Udacity Data Streaming Nanodegree, you will be able to convert your Data Streaming and Data Engineering skills into a useful resource.

Job Scenario

Udacity Data Streaming Nanodegree

Data Engineer can be interpreted as the backbone of a Data Science team. Data Engineers are highly valued by various tech companies and highly paid based on their skills. It is one of the most in-demand jobs in the field of Data Science.

The average salary earned by the Data Engineer in the US market is $92,139 per annum. It’s the skill and the experience gained which can increase your salary above the market average. The average salary of the Data Engineer in the Indian market is around 8 LPA (Lakh per annum). The package of a Data Engineer depends upon location, skill, and experience.

This complete Udacity Data Streaming Nanodegree review will help you a lot in understanding the structure of the program, it’s outcome, pros, cons, student and learner reviews and syllabus in detail.

Now we will cover each detail of this Nanodegree, the features, advantages, and disadvantages so that you get to know the outcomes and the expectations from this Udacity Data Streaming Nanodegree.

Costs and Duration of the Udacity Data Streaming Nanodegree

The overall duration of this Udacity Data Streaming Nanodegree is 2 months and after enrollment, you have to give at least 5 hours per week to the program. You should always give an appropriate time for learning fundamental skills and concepts of Data Engineering.

This course is for Intermediate Programmers who want to enter into the world of Data Science or Data Engineering.

You can enroll in the program and access the complete 2-month duration of the course for the reasonable price of $527.80. However, if you want to pay monthly for the course, then you can pay $310.67 per month and continue your learning with this Udacity Data Streaming Nanodegree.

Lastly, we always recommend you to stick to the date of completion and deadlines of the projects so that you may not lag behind and make it an unusual time-consuming program.

Prerequisite of the Udacity Data Streaming Nanodegree

Coming to the prerequisite of this Udacity Data Streaming Nanodegree. You should have intermediate knowledge of Python programming and SQL (Structured Query Language) along with a hands-on experience of ETL.

Familiarity with traditional batch processing and an understanding of traditional service architecture can be a plus point. 

For beginners and even for intermediate programmers, it is highly recommended to complete Udacity Programming for Data Science with Python Nanodegree before jumping directly into this Data Streaming Nanodegree.

If you already have the prerequisites, then congrats, you are ready to rock and enroll yourself in this Udacity Data Streaming Nanodegree and learn the important and valuable skills. 

Syllabus of the Udacity Data Streaming Nanodegree

Udacity Data Streaming Nanodegree Syllabus

Now, let’s discuss the syllabus of the Udacity Data Streaming Nanodegree, it is a simple and optimistic syllabus covering the fundamentals of Data Streaming.

The entire syllabus of this Data Streaming Nanodegree is divided into 2 Courses where each course has its own importance in developing your Data Engineering and Data Streaming skills, these courses have various lessons along with realistic projects to practice your learning and implementations.

The projects in this Nanodegree are enough to evaluate the knowledge and information you gained in the program. So, for now, let’s go in-depth with the details of every chapter and lesson in the Udacity Data Streaming Nanodegree.

Course 1: Foundations of Data Streaming and SQL with Data Modeling for the Web

So this will be the first course of your Udacity Data Streaming Nanodegree and in this course, you will learn about the tools which will be used throughout, including Kafka Consumers, Producers. 

You will also learn topics such as Kafka Connect Sources and Sinks, Kafka REST Proxy for producing data over REST, Data Schemas with JSON and Apache Avro/Schema Registry, Stream Processing with the Faust Python Library, and Stream Processing with KSQL.

This course of the Udacity Data Streaming Nanodegree is divided into seven lessons, they are as follows – 

  1. Introduction to Stream Processing
  2. Apache Kafka
  3. Data Schemas and Apache Avro
  4. Kafka Connect and REST Proxy
  5. Stream Processing Fundamentals
  6. Stream Processing with Faust
  7. KSQL

So after the completion of all these lessons. Now it’s time for you to work on a project. The project of this course is to Optimize Chicago Bus and Train Availability Using Kafka.

In this project, you will be streaming public transit status using Kafka and the Kafka ecosystem to build a stream processing application that shows the status of the trains in real-time.

With the help of your skills, you will be able to optimize the availability of buses and trains in Chicago based on the streaming data. You will learn to use your own Python code to produce events with REST Proxy to send events over HTTP, and use Kafka connect to collect data from a Postgres Database to produce streaming data from various sources into Kafka.

After that you will be using KSQL to combine data models into a single topic ready for the consumption by the downstream Python applications and complete a simple Python application that ingests data from the Kafka topics for analysis.

Finally, you will use the Faust Python Stream Processing library to further transform train station data into a more streamlined representation, using stateful processing, this library will show whether passenger volume is increasing or decreasing or staying steady.

This project looks a bit complex but will clear all your doubts and provide you valuable practical experience demanded by the industry.

Course 2: Streaming API Development and Documentation

In this course, you will be increasing your expertise in the components of streaming data systems, and build a real-time analytics application. 

You will be able to identify components of Spark Streaming (architecture and API), build a continuous application with Structured Streaming, consume and process data from Apache Kafka with Spark Structured Streaming (including setting up and running a Spark Cluster), creating a DataFrame as an aggregation of source DataFrame, sink a composite DataFrame to Kafka, and visually inspect a data sink for accuracy.

This course of the Udacity Data Streaming Nanodegree is divided into three lessons, they are as follows – 

  1. Streaming DataFrames
  2. Joins and JSON
  3. Redis, Base64, and JSON

After the completion of all these lessons of the course, it’s time for you to work on a project. The project of this course is to Evaluate Human Balance with Spark Streaming.

In this project, you will be working with a real-life application which will be called Step Trending Electronic Data Interface (STEDI). It is a working application used to assess fall risk for seniors.

Whenever a senior takes a test, they are scored using an index that reflects the likelihood of falling, and potentially sustaining an injury in the course of walking.

STEDI will use a Redis datastore for risk score and other data. The Data Science team has completed a working graph for population risk at a STEDI clinic.

The problem is the data is not populated yet. You will have to work with Kafka Connect Redis Source events and business events to create a Kafka topic containing anonymized risk scores of seniors in the clinic.

Pros and Cons

So after discussing all the prerequisites, costs, duration, and syllabus of the Udacity Data Streaming Nanodegree. Now, let’s discuss some of the Pros and Cons of the Udacity Data Streaming Nanodegree.

Pros of the Udacity Data Streaming Nanodegree:

  • Data Engineers play an important role in the team of Data Scientists. Most of the big companies are always looking for skilled Data Engineers and their demand is rising day by day.
  • According to an online survey, the job role of a Data Engineer is found to be one of the best jobs of 2019, with a base salary of $100k.
  • Specific advancement in technology has made it cheaper and affordable for everyone connecting to the internet worldwide. That’s the reason behind the companies maintaining large datasets that are handled by Data Engineers.
  • This Data Streaming Nanodegree is perfect for intermediate programmers building a strong foundation of Data Streaming and API Development along with some Documentation.
  • This Udacity Data Streaming Nanodegree has 2 projects which cover all the concepts and topics taught in the program. Working on realistic projects such as Evaluate Human Balance with Spark Streaming and Optimize Chicago Bus and Train Availability using Kafka will surely enhance your practical knowledge required for Data Streaming.
  • Top-class technical mentor support throughout the program. They always motivate you and help you to stay on your track while pursuing the course.
  • With Udacity there is always personalized learning at your pace and achieve personal goals with the help of their flexible learning program.
  • Studying with Udacity will always give you the advantages of a Personal career coach and services to help you out in interview preparation, building a resume, and online professional profile to boost your career.
  • The Course has been rated 4.2 stars out of 5 by most of the learners and graduates enrolled in the program.
  • Financial support is available worldwide in this challenging time of Pandemic for you to stay sharp and on track with the Nanodegree program.

Cons of the Udacity Data Streaming Nanodegree:

  • This Udacity Data Streaming Nanodegree is not for beginners. It requires a level of experience in Python programming and SQL along with ETL. However, this Nanodegree is perfect for Intermediate programmers who want to learn Data Engineering skills.

Nanodegree Certificate of Udacity Data Streaming Nanodegree

Udacity Data Streaming Nanodegree Certification Image

You will receive a similar Udacity Data Streaming Nanodegree certification upon graduation and completion of the complete program. Well, you should know that this certificate is not accredited by any university but it’s definitely a perfect way to show potential recruiters your qualification and skills. 

You should definitely add it to your LinkedIn or GitHub profile to highlight your proficiency in Data Engineering. You can easily access your certificate through your Udacity account.

The Advance features you get with Udacity

Udacity Data Streaming Nanodegree Features

Udacity is popular for its valuable and updated courses which have helped thousands of students, learners, and professionals to improve their skills and land a better job. Apart from the courses and lessons in the program, they offer some extra services which make this Data Streaming Nanodegree so special. Let’s have a look at some of their services.

 1. Mentorship

They have a world-class mentorship, which is one of the best parts of the Udacity programs. Mentors guide you throughout the entire program. 

They will try to answer your every query and doubts which you might face in the program. Also, they will be responsible for reviewing your projects and providing feedback.

They already know how challenging some of the typical concepts can be, so they will always be in your corner to boost your confidence and motivate you.

2. Career Services

They always try their best to get you hired and that’s the reason why they help you in the preparation of Job interviews and building a professional resume and profile.

Your resume and profile will be reviewed by an expert who will recommend you to make changes or improvement in it if required.

Udacity also shares your profile with its partnered organizations.

3. Community and discussion forums

Udacity has a nice community feature where you will meet other like-minded peers from your batch and communicate with them.

You can share your ideas, ask a question in a group of students, and build a professional classroom-like environment.

4. Projects and High-Quality content

The quality of the content of any online learning platform is what really matters. It is more important than any other stuff available online. Here in Udacity, you will get high-quality content and project-based learning, the programs are overall project-centric.

You will be working on some realistic and interesting projects, which will definitely help you to gain more practical experience. All of your projects will be reviewed by your mentors, who will guide you throughout the program.

You can add your projects and certificates to your LinkedIn profile to attract potential employers. The instructors are industry professionals and many of them come from big MNC’s. 

5. Graduation certificate

Having a certificate from a reputed Massive open online course is always an advantage for you. After the completion of the Udacity Data Streaming Nanodegree, you will receive a decent graduation certification from them.

Most of the employers and potential recruiters are aware of the value of the content provided by Udacity and other big online educational platforms.

Also read: Lambda School Data Science review

About Instructors

Ben Goldberg (Staff Engineer At SpotHero)

In his career as an engineer, Ben Goldberg has worked in fields ranging from Computer Vision to Natural Language Processing. At SpotHero, he founded and built out their Data Engineering team, using Airflow as one of the key technologies.

Judit Lantos (Senior Data Engineer At Netflix)

Judit is a Senior Data Engineer at Netflix. Formerly a Data Engineer at Split, where she worked on the statistical engine of their full-stack experimentation platform, she has also been an instructor at Insight Data Science, helping software engineers and academic coders transition to DE roles.

David Drummond (VP of Engineering at Insight)

David is VP of Engineering at Insight, where he enjoys breaking down difficult concepts and helping others learn data engineering. David has a Ph.D. in Physics from UC Riverside.

Sean Murdock (Faculty Member, Byu-idaho)

Sean has worked as an Architect or Software Engineer for Columbia Ultimate, Firstsource Global, Intermountain Healthcare, General Motors, The Church of Jesus Christ, Northup Grumman, Zions Bank, and Ancestry. He currently teaches DevOps and Cybersecurity at Brigham Young University, Idaho.


This Udacity Data Streaming Nanodegree is best for intermediate programmers who have hands-on experience in Python and SQL along with ETL.

Working on a realistic project and completing on your own literally boosts your confidence to face various tech interviews for the role of Data Engineer.

At last, We say Yes to this Udacity Data Streaming Nanodegree, however, it’s up to you, how talented you are and the level of effort you do to extract out the best possible outcome from this Nanodegree Program.

FAQ’s of Udacity Data Streaming Nanodegree

1. Why should I enroll?

Various Big companies store and manage big datasets and rely on the applications and software which is used to produce and process data in real-time with the help of Data Streaming. It’s an in-demand skill of every Data Engineer.

2. What jobs will this program prepare me for?

This Udacity Data Streaming Nanodegree is designed to upskill software engineers and Data Engineers to learn the latest advancements in the world of Data Science.

3. How do I know if this program is right for me?

This Nanodegree is for software engineers and IT professionals looking to build real-time data processing proficiency, as well as data engineers looking to enhance their existing skillset with the next advancement in technology.

Akshay Vikhe

Akshay Vikhe

I am a aspiring ML Engineer with huge interest in technology.  I like to review courses which are genuine and add real value to students career. Here’s my story

Josh Hutcheson

E-Learning Specialist in Online Programs & Courses Linkedin

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