Want to know what the best Udacity classes are?
If so, you’ve come to the right place.
Udacity has 200+ courses taught in collaboration with the likes of Google and Amazon. So there’s a lot to choose from.
In this Best Udacity Courses article, I’ll be looking at the best courses Udacity has to offer so that can cut through the noise and find the best courses for you.
If you want to learn about the top classes on one the world’s top e-learning platforms, read on!
We chose the top courses by looking at enrolment rates, student feedback, reviews, credentials, and course descriptions. With that in mind, here are the best Udacity courses by category:
- Android: “Android Basics” (Google collaboration, 4.8 rating)
- Data Science: “Business Analytics” (Mode collaboration, 4.8 rating)
- C++: “C++” (4.5 rating)
- Digital Marketing: “Digital Marketing” (4.7 rating)
- Deep Learning: “Deep Learning” (4.7 rating)
- Business Strategy: “AI for Business Leaders” (BMW collaboration, 4.6 rating)
- Excel and Spreadsheets: “Marketing Analytics” (4.7 rating)
- Functions: “Introduction to Programming” (4.7 rating)
- Game Development: “2D Game Development with libGDX” (Amazon Appstore collaboration)
- HTML: “Front End Web Developer” (4.6 rating)
- Interview Practice: “Data Science Interview Prep”
- Machine Learning: “Data Scientist” (collaboration with Bertelsmann, Figure Eight, IBM Watson, Insight, Kaggle, Starbucks, 4.7 rating)
- Neural Networks: “Intel® Edge AI for IoT Developers” (collaboration with Intel)
- Partitions: “SQL” (4.6 rating)
- Python: “Programming for Data Science with Python” (collaboration with Mode, 4.7 rating)
- Spark: “Data Engineer” (collaboration with Insight, 4.6 rating)
- User Research: “UX Designer” (4.7 rating)
- Variables and Constants: “Learn Swift Programming Syntax”
- Whiteboarding: “Android Interview Prep” (collaboration with Grow with Google)
Of these classes, our top pick for Udacity’s best course is “Android Basics.” Partnered with Google and taken by over 3,000 students, this class is ideal for aspiring programmers who are looking to learn real-world skills.
Best Udacity course reviews
As you can see, Udacity has a range of course categories and topics to choose from. And, the platform also has different course types available, including:
- Executive programs – These are Udacity’s mid-length courses (around 4-8 weeks on average). While there are feedback and projects, these are usually limited when weighed up against Udacity’s Nanodegrees
- Nanodegrees – Udacity-trademarked, Nanodegrees are 3-4 month skills-based courses designed to equip you with the real-life skills needed to succeed in your field. Unlike other Udacity courses, these classes consist of multiple projects with mentor feedback and formal assessments.
- Free courses – Udacity’s free courses lack the end-of-course certificate you get with the other options. But, these are still great for if you lack the budget/time to invest in full Nanodegrees, and are also ideal for exploring new subjects. To date, there are over 80 free courses to choose from.
Taking these different course types into account, here are the best Udacity courses in each category:
Category: Android | Instructors: Katherine Kuan, Jessica Lin, Jennie Kim Eldon, Asser Samak, Lyla Fujiwara, Joe Lewis, Vicky Tu, Chris Lei | Length: 3 months (estimated) at 10 hrs/week | Number of reviews: 3,183 | Certificate: Yes | Free: No
Taught with Google, Udacity’s Android Basics Nanodegree covers real-world programming basics so you can build your skills toward becoming a professional Android Developer.
Among its teachers includes Katherine Kuan, a former developer advocate at Google and software engineer on the Android Apps team. Also in the mix is Jessica Lin – Udacity’s Android Basics Curriculum Lead.
It's therefore no wonder this is one of Udacity’s most highly rated and reviewed classes. For many aspiring programmers, Google is the dream place to work. So, this chance is really unrivalled.
Unlike some of the other more daunting courses on Udacity, Android Basics appeals to so many because there are no prerequisites. So, you don’t need to have taken any prior classes to get the most out of this Nanodegree.
Plus, you’ll learn:
- How to develop Android apps without prior experience
- Programming foundations (namely, Java)
- How to use XML markup language
- The basics of Android networking (including HTTP)
- How to plan and develop an app from start to finish
Category: Data Science | Instructors: Josh Bernhard, Dana Sheahen, Derek Steer, Mat Leonard | Length: 3 months (estimated) at 10 hrs/week | Number of reviews: 2,611 | Certificate: Yes | Free: No
Partnered with Mode, Udacity’s Business Analytics Nanodegree teaches you foundational data skills applicable to any industry. This course covers SQL, Excel, and Tableau, with the goal of helping you to make data-driven decisions.
Lead Data Science Instructor at Galvanize, Josh Bernhard is the foremost instructor for this class. With a range of data science experience under his belt, Bernhard gives excellent insight into the field – especially for those who are “non-technical” learners.
As the course collaborator, Mode, is itself a data science platform, this course has been carefully tailored to give you the analytical skills you need to go forward in any data-driven field.
In sum, you’ll learn to:
- Interpret, analyze, and manipulate data
- Summarize data using statistics and visuals
- Understand different types of data and statistics
- Visualize and analyze data using spreadsheets and functions
- Familiarize yourself with common business metrics
Category: C++ | Instructors: David Silver, Stephen Welch, Ermin Kreponic, Andreas Haja | Length: 4 months (estimated) at 10 hrs/week | Number of reviews: 1,113 | Certificate: Yes | Free: No
Third on our list, this Nanodegree teaches you how to use C++ for a range of exciting jobs like robotics and gaming. With five real-world projects to dive into, this class optimizes your chances of success in a range of engineering fields.
Research engineer David Silver leads the class, along with Ph.D. graduate and content developer Stephen Welch. Plus, with Ermin Kreponic from Abstract Thinking and Andreas Haja, Professor at the University of Applied Sciences, this course is led by the best in the industry.
So, in this class, you’ll learn:
- C++ basics like syntax, functions, and containers
- How to use the A* search algorithm
- Write multi file programs with C++
- What Object-Oriented Programming is
- Memory management and allocation
Category: Digital Marketing | Instructors: Anke Audernaert, Daniel Kob & Julia Aspinal | Length: 3 months (estimated) at 10 hrs/week | Number of reviews: 2,409 | Certificate: Yes | Free: No
One of Udacity’s most popular Nanodegrees, this Digital Marketing course is an impactful learning journey for anyone interested in digital marketing. With growing demand for digital market researchers both in and outside of the US, this class is worth the investment if you’re looking for career progress.
Head instructor, Anke Audernaert, personally led the development of digital marketing programs at Udacity. And, her fellow instructors are both digital marketing experts. As underlined in the many student reviews, this course is helpful for those who are already in marketing and those starting out.
So, with this in mind, you’ll learn how to:
- Build data-driven insights about your customers
- Grasp newly emerging marketing technologies
- Plan and strategize effective marketing content
- Analyze marketing performance with digital tools
- Create your own marketing campaign for business
Category: Deep Learning | Instructors: Erick Galinkin, Giacomo Vianello, Nathan Klarer & Thomas Hossler | Length: 4 months (estimated) at 10 hrs/week | Number of reviews: 3, 359 | Certificate: Yes | Free: No
With a focus on how deep learning can help you to fix complex problems and maximize results, this Nanodegree introduces you to the world of AI. With intermediate knowledge of Python required, this program equips you with the skills needed to excel in an AI- or programming-based career.
This Nanodegree also boasts an impressive host of instructors, from AI researcher, Erick Galinkin, to data scientist Nathan Klarer. Representing leading software companies like Rapid7 and Cape Analytics, this panel of teachers provides an ideal training ground for Deep Learning.
In particular, you’ll learn:
- The differences between AI, machine learning, and deep learning
- How to use PyTorch to preprocess data
- The essential concepts in neural networks
- How to test and validate a trained network
- The basics layers used in CNNs
Category: Business Strategy | Instructors: William Ross, Luis Serrano & Josh Bernhard | Length: 4-8 weeks (at 5 hrs/week) | Number of reviews: 118 | Certificate: Yes | Free: No
The AI for Business Leaders program is a foundational course geared at management professionals. Its goal is to help you master artificial intelligence basics for AI implementation. Namely, you’ll learn how to use machine learning technologies to increase efficiency and power corporate growth.
With this in mind, leading the course are corporate development leader, William Ross, Apple engineer, Luis Serrano, and data scientist Josh Bernhard. William Ross is also an experienced AI investor – so who better to learn this challenging yet engaging course from?
In this 4-8 week program, you’ll learn:
- The fundamental terms of machine learning
- How to implement AI infrastructures
- Methods for incorporating ML/AI into business
- How to create strong ML/AI project proposals
- Considerations for business use cases
Category: Excel and Spreadsheets | Instructors: Brad Batesole, Josh Bernhard, Dana Sheahen & Mat Leonard | Length: 3 months (at 5 hrs/week) | Number of reviews: 356 | Certificate: Yes | Free: No
With marketing analytics the fastest growing area in marketing (accounting for nearly 10% of marketing spend in 2018), this Nanodegree program teaches you how to analyze data and unlock new marketing opportunities.
This program is led by marketing executive Brad Batesole, data scientist Josh Bernhard, and content developers Dana Sheahen and Mat Leonard. With extensive experience in marketing strategy and user experience, Batesole has even led teams of top marketers at companies like TMZ, LegalZoom, and LinkedIn.
So, in this Nanodegree program, you’ll learn to:
- Understand and use Google Analytics, Excel, Data Studio, and Tableau
- Interpret data visualizations and survey data
- Use Excel for pivot tablets, data, and presentations
- Tell impactful stories through data using Tableau dashboards
- Create campaign reports and ensure ROI
Category: Functions | Instructors: Karl Krueger, Kelly Howard, Julia Van Cleve & James Parkes | Length: 4 months (at 10 hrs/week) | Number of reviews: 3,847 Certificate: Yes | Free: No
This Intro to Programming Nanodegree is perfect for anyone with an interest in coding but no prior experience. If this sounds like you, you’ll be pleased to hear that there are no prerequisites for this class.
In this Nanodegree program, you’ll learn from instructors Karl Krueger, Kelly Howard, Julia Van Cleve, and James Parkes. Before joining Udacity, Krueger was a Site Reliability Engineer at Google, and James Parkes received his degree in Computer Science and Mathematics.
With these minds behind the Programming Nanodegree, you’ll learn how to:
- Make basic web pages using HTML and add style using CSS
- Use Python to create text-based games, draw, and write code
- Define and call functions to create reusable code
- Take practical steps toward a career in programming
Category: Game Development | Instructors: Peter Heinrich & Jeremy Silver | Length: 8 weeks (estimated) | Certificate: No | Free: Yes
As a free Udacity course, this program lacks the end-of-course certificate that’s a selling point for most Udacity classes. However, as a collaboration with Amazon AppStore, this class is still taught by industry experts, and it’s also a lot shorter than Udacity’s Nanodegree programs.
The course is taught by Udacity course developer Jeremy Silver and Amazon Evangelist Peter Heinrich. First working on Red Baron, Heinrich has a strong background in 2D game development. Plus, hacking the Asteroids source code, Jeremy Silver is also seasoned in 2D game exploration.
In this class, you’ll learn:
- How to use LibGDX to build 2D games on mobile/PC
- What makes games different from other types of apps
- How to decompose a game
- Understand game engines
- Develop your games through animation
Category: HTML | Instructors: Daniel Silber-Baker, Rachel Manning, Alyssa Hope & Richard Kalehoff | Length: 4 months (at 5-10 hrs/week) | Number of reviews: 1,184 | Certificate: Yes | Free: No
Udacity’s Front End Web Developer Nanodegree teaches you how to build high quality websites and dynamic applications. Through this, you can optimize user experiences and ensure that business voices are heard.
In this class, you’ll learn from expert programmer, Daniel Silber-Baker, front end web developer Rachel Manning, full stack developer Alyssa Hope, and Udacity course developer Richard Kalehoff. Together, they aim to teach you the best methods for building front end software for businesses.
- Intermediate CSS, including layouts and component design
- How to build interactive and responsive websites
- Skills to become an expert at designing data-driven user interface
- How to test and deploy websites for businesses
- The best way to connect web applications to back end server data
Category: Interview Practice | Instructors: Arpan Chakraborty & Jimmy Lafontaine Rivera | Length: 1 week (estimated) | Certificate: No | Free: Yes
One of Udacity’s perks is that it offers free interview practice in a range of categories. While these are by no means 1-1 courses, they are well-tailored to help you sell yourself in your job interview.
This free course in Data Science Interview Prep is led by instructor Arpan Chakraborty and data scientist Jimmy Lafontaine Rivera. Between them, they aim to help you ace the data science interview with practice interviewing and behavioral questions.
By the end of this course, you’ll learn how to:
- Design experiments or models for your interview
- Be prepared for problem-solving questions involving Python and SQL
- Demonstrate connecting data skills to business strategy
- Review common questions asked in data science roles
- Answer questions relating to machine learning and impress your interviewer
This class is taught by course developer Andrew Wong, senior software engineer Michael Tsamis, full stack developer Alyssa Hope, Google Developer Expert Tyler McGinnis, and course developer Richard Kalehoff. In fact, McGinnis is even the organizer of React Utah and currently runs the React Newsletter.
So, in this React Nanodegree program, you’ll learn how to:
- Build declarative user interfaces with React
- Develop mobile apps using React Native
- Create interactive React components for application
- Build more efficient React apps using recent features such as Hooks
- Explore and understand the basics of Redux
13. Data Scientist
Category: Machine Learning | Instructors: Josh Bernhard, Juno Lee, Luis Serrano, Andrew Paster, Mike Yi, David Drummond & Judit Lantos | Length: 4 months (at 10 hrs/week) | Number of reviews: 1,185 | Certificate: Yes | Free: No
In collaboration with IBM, this Nanodegree program is an analysis-focused course that gives you real-world experience through hands-on projects. The prerequisites for this class are Python, SQL & Statistics.
This course is led by data scientist Josh Bernhard, data science instructor Juno Lee, and instructors Luis Serrano and Andrew Paster. Also featured in this class are data scientist and content developer Mike Yi, VP of Engineering at Insight, David Drummond, and Senior Data Engineer at Netflix, Judit Lantos.
Together, these experts equip you with skills in:
- Pursuing and excelling in a range of data science jobs
- Using statistics and probability to design A/B tests and recommendation engines
- Manipulating and analyzing distributed datasets (in Apache Spark)
- Communicating results effectively with stakeholders
- Enriching business decision-making with data
Category: Neural Network | Instructors: Stewart Christie, Michael Virgo, Soham Chatterjee & Archana Iyer | Length: 3 months | Certificate: Yes | Free: No
In collaboration with Intel, this Nanodegree teaches you how to use Intel Edge AI applications for the Internet of Things. You’ll also learn how to use Intel’s OpenVINO toolkit to optimize these systems.
Community Manager for the IoT Developer Program at Intel, Stewart Christie leads this class. Christie has been with Intel for over 20 years and has extensive hardware and software knowledge. Also joining him are Senior Curriculum Manager at Udacity, Michael Virgo, Software Innovator Soham Chatterjee, and Research Engineer Archana Iyer.
Requiring some knowledge of Python as well as experience with Deep Learning, Command Line, and OpenCV, this class teaches you how to:
- Use OpenVINO for computer vision inferencing
- Assess and select the right hardware for your projects
- Identify the key specifications of Intel’s CPUs and Integrated GPUs
- Implement optimization techniques to improve model performance
- Use DevCloud to test model performance on various hardware types
Category: Partitions | Instructors: Ziad Saab & Malavica Sridhar | Length: 2 months (at 10 hrs/week) | Number of reviews: 322 | Certificate: Yes | Free: No
As Udacity puts it, SQL is the core language for Big Data analysis. So, in this Nanodegree, you’ll learn how to master data analysis on relational and non-relational databases systems to fuel business decision-making. And, the only prerequisite for this course is a basic understanding of data types.
This course is led by experienced software developer, Ziad Saab, who previously co-founded and taught full stack web development at DecodeMTL. He’s joined by Product Manager at Waymo, Malavica Sridhar, who considers data and ML needs for organization expansion.
In this Nanodegree, you’ll learn to:
- Analyze data through SQL to provide key businesses insights
- Build and manipulate everything database and data-related
- Understand the key difference between using relational vs. non-relational databases
- Determine, create, and execute SQL and NoSQL queries that dissect datasets
- Use SQL commands, functions, and data cleaning methods for business strategy
Category: Python | Instructors: Josh Bernhard, Derek Steer, Juno Lee, Richard Kalehoff & Karl Krueger | Length: 3 months (at 10 hrs/week) | Number of reviews: 1,532 | Certificate: Yes | Free: No
Udacity has designed its Programming for Data Science Nanodegree as the perfect gateway to data science careers through programming. With no prerequisites, this program is ideal for anyone looking to take a step in the right direction when it comes to learning the fundamental data programming tools: Python and SQL.
The course is led by data scientist Josh Bernhard, CEO at Mode Analytics, Derek Steer, curriculum lead Juno Lee, and instructors Richard Kalehoff and Karl Krueger. Derek Steer is also the author of SQL School and a mentor at Insight Data Science.
So, this Nanodegree is a great entryway into the field of data programming. You’ll learn how to:
- Grasp the fundamentals required for a data science career
- Write common SQL commands and JOINs
- Represent data using Python’s data types
- Run and edit Python scripts
- Use Git and Github to manage program versions
17. Data Engineer
Category: Spark | Instructors: Amanda Moran, Ben Goldberg, Luis Serrano, Andrew Paster, David Drummond, Judit Lantos & Juno Lee | Length: 5 months (at 5-10 hrs/week) | Number of reviews: 1,743 | Certificate: Yes | Free: No
With a focus on how to build production-ready data infrastructure, Udacity’s Data Engineer Nanodegree teaches you the essential skills to advance your career in data science. With intermediate knowledge of Python and SQL required, this course isn’t for beginners.
That being said, the instructors aim to further your knowledge through real-world exercises. You’ll be taught by developer advocate Amanda Moran, data engineer Judit Lantos, and curriculum lead at Udacity, Juno Lee. Joining her are staff engineer Ben Goldberg, Novelari CEO Luis Serrano, data engineer Andrew Paster, and VP of Engineering, David Drummond.
In this Nanodegree program, you’ll learn to:
- Design data models and build data warehouses
- Automate data pipelines and work with massive datasets
- Create user-friendly relational and NoSQL models
- Build and interact with a cloud-based data lake
- Develop proficiency in Spark, Airflow, and AWS tools
18. UX Designer
Category: User Research | Instructors: Shuang Liu, Gabriel Ruttner, Michael Dedrick & Melissa Hui, | Length: 3 months (at 10 hr/week) | Number of reviews: 1,026 | Certificate: Yes | Free: No
With user design at the heart of the best products, Udacity’s UX Design Nanodegree recognizes the importance of optimizing user experience with their products. So, in this program, you’ll learn UX fundamentals and how to conduct design research.
This course is taught by UX Designers at Google, Shuang Liu and Michael Dedrick, UX leader, Gabriel Ruttner, and Founder of Context Leap, Melissa Hui. With extensive experience working in UX Design, Liu received her Master’s in Human Computer Interaction from The University of Michigan.
So, with instructors of the highest caliber, you’ll learn:
- The foundational skills all UX Designers use
- How to create development-ready designs
- Quantitative and qualitative research methodologies
- How to synthesize user research and frame design opportunities
- Design conversion into a wireframe through to a high-fidelity interactive design
Category: Variables and Constants | Instructors: Gabrielle Miller-Messner | Length: 3 weeks (estimated) | Certificate: No | Free: Yes
This quick Swift Programming Syntax course is a free program for intermediate learners. Designed especially for iOS development, Swift comes with tools to make visualizing code a lot less difficult.
In this course, instructor Gabrielle Miller-Messner focuses specifically on Swift’s syntax to help you grasp its essential and unique aspects. Miller-Messner is a Senior Instructional Engineer at LinkedIn and also has 9+ years of teaching experience.
- An introduction to Swift types and operators
- The difference between value types and reference types
- Develop deftness in defining variables and constants
- Gain experiences with exercises in Swift playgrounds
- Learn about the Swift Collection Types
Category: Whiteboarding | Instructors: Eric Gonzalez | Length: 1 week (estimated) | Certificate: No | Free: Yes
If you’re looking to prepare for a technical interview, this is the class for you. And, because it’s completely free, there really is nothing to lose and a whole lot to gain. This course features mock interviews, industry-related questions, and whiteboard problems.
Taught by Android Engineer, Eric Gonzalez, this course puts you in good hands for learning how to impress your interviewer. Gonzalez is an industry pro and engages your attention through interactive quizzes, behavioral questions, and a range of practice methods.
You’ll learn how to:
- Understand tech interview formats at different companies
- Gain insights into how interviewers think
- Answer industry-specific questions with confidence
- Break down steps for answering whiteboarding questions
- Assess and decide if these industry roles are for you!
How to find the best courses on Udacity
As you can tell, Udacity has a huge scope of courses available for equipping you with job-ready digital talent. While this is great, it can make it hard to know where or how to start looking for the best course for you.
That being said, we have some top tips for finding the best courses on Udacity.
In particular, you can filter by:
- Difficulty level
As well as this, you can sort courses by:
- Best match
- Most reviewed
- Highest rated
Of course, you can also search for keywords if you have a specific topic or area in mind.
Once you’ve signed up, Udacity will recommend courses based on your history. Plus, when you take a course, you’ll also see course recommendations to further your learning.
Scrolling down to the bottom of any course, you’ll see the “Related Programs” header, which features at least two similar courses beneath it. This is an excellent way to expand your learning and explore relevant fields further.
As well as using Udacity’s own filters, here are some other ways to discover the best Udacity programs:
- Reading reviews from impartial sites like Learnopoly
- Checking out student comments/reviews on the course page
- Assessing the average rating and course popularity
- Looking at the instructors’ credentials
- Seeing how many students are enrolled/how long the course has been established
How much does Udacity cost?
Udacity is a huge platform with various target audiences and programs. As such, costs can vary. But, considering the most popular choices (Nanodegrees) to give you an idea, there are two purchasing options:
Udacity’s Nanodegree prices start at $399/month. In general, most Nanodegree programs take around 3-4 months to complete (if you put in the time). With pay-as-you-go, you pay to access the Nanodegree each month until you earn your certificate.
Pay upfront (all-access purchase)
By paying upfront, you save around 15% compared to the pay-as-you-go option. This way, you have the recommended enrollment period to complete the course and can switch to pay-as-you-go if you need longer.
That being said, the most cost-effective option depends on the hours you can commit. If you know you can commit more time to your program than Udacity estimates, the pay-as-you-go option might be better for you.
Of course, some of the courses on Udacity are completely free, and this is a great way to get a taste for a topic without risk of loss. In fact, there are over 200 free courses, with most being 1 week/month in length.
For full details on Udacity's pricing check our article, Udacity Costs.
How to get the best value out of Udacity
Unlike other subscription platforms, with Udacity you pay per course. So, in terms of getting value for money, the number one tip is to consider the pay-as-you-go vs. pay upfront options.
Also, the value that you get out really comes down to the time and effort you put in. If you make the most of Udacity’s hands-on projects, extra resources, and instructor feedback, you’re more likely to retain these skills and put them into practice.
It’s hard to summarize the best courses on such a large platform like Udacity. In fact, with all the subject niches, this list could have been a lot longer!
But, to pick the top courses on Udacity, I compiled the list by:
- Focusing on “umbrella” topics and in-demand fields
- Searching for the highest rated courses
- Filtering by most reviewed and most enrolled
- Seeing what people said both on and outside of Udacity
Relevant articles: Udacity vs Coursera
All in all, you’d struggle to find another e-learning platform as focused on data science as Udacity. While its Nanodegree programs can be pricey, they’re taught by industry leaders and are a strong investment in your career.
As shown, there are also plenty of non-Nanodegree courses that are shorter and cheaper – plus a range of free classes alongside these. So, if you’re interested in the types of courses Udacity has to offer, the above are worth considering.
In my opinion, whether you’re a new learner, a graduate, or an established professional, Udacity is a wonderful way to build upon current skills and new ones. Sebastian Thrun, Udacity’s founder, designed the platform for anyone looking to break into exciting industries or progress in their career.
And, while there are so many different topics to explore, our top pick for the best Udacity course is the “Android Basics.” This is because the level of tutelage is unbeatable. In collaboration with Google, it’s no wonder this class is one of the most popular on the site.
Despite its prestige, it’s also a universal course that is geared toward anyone with any level of interest in programming. As such, this course can either be a great step toward more advanced programming study, or, a fascinating insight into the greatest minds in the field!
Plus, with Udacity’s 2-day refund policy, you really have nothing to lose and a whole lot to gain from this impressive platform.
Android Basics (in collaboration with Google).
Programming for Data Science with Python (in collaboration with Mode).
Business Analytics (in collaboration with Mode).
2D Game Development with LibGDX (in collaboration with Amazon AppStore).
Rebecca graduated from King's College university with a first class honours in English Language, followed by a Masters' Degree in Eighteenth Century Studies.