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Here’s a roundup of new Specializations and courses on Coursera, brought to you by top universities and leading companies from all over the world. Learn foundational data science skills from IBM, machine learning with Google Cloud, and Blockchain from the experts at the University at Buffalo. Explore the list and start learning today:
1. Blockchain Specialization – The State University of New York & University at Buffalo
Blockchain is a revolutionary new technology and demand for blockchain talent is rising rapidly. In the new Blockchain Specialization taught by Dr. Bina Ramamurthy of the University at Buffalo, you’ll learn how to design and implement smart contracts, methods for developing decentralized applications on the blockchain, and much more.
“We encourage anybody curious about the blockchain technology to join these courses, even if they are not developers. You never know, this may be the technology that takes you from a casual observer to an involved developer of the technology!” – Dr. Bina Ramamurthy
2. Machine Learning and Reinforcement Learning in Finance Specialization – New York University
Machine Learning (ML) is one of the fastest growing fields today. Financial institutions continue to implement ML solutions to understand how markets work, access data, and forecast trends. In this new Specialization, you’ll learn the algorithms and tools needed to predict financial markets and how to use ML to solve financial problems.
“Machine Learning gives you more tools in comparison to traditional financial models. When you know both, your abilities quadruple.” – Instructor Igor Halperin
3. Advanced Data Science with IBM Specialization– IBM
Become an IBM-approved expert in massive parallel data processing, data visualization, and advanced machine learning & deep learning. Through course projects, you’ll build fully scalable end to end data integration, machine learning and deep learning pipelines using the most prominent and widely used frameworks and technologies.
4. Machine Learning with TensorFlow on Google Cloud Platform Specialization
Lak Lakshmanan is a Big Data & Machine Learning Tech Lead at Google and helped create this Specialization to give developers a lens into how Google does Machine Learning. We asked him, “After completing this Specialization, what will learners be able to add to their resume?”
“Aside from building skills in TensorFlow and practical ML, learners will be able to add a project to their resume to show they can walk the walk. The Specialization includes practical working ML models that serve batch or online predictions. Being able to put a link to a working ML model like ML Poetry or Babyweight beats buzzwords on a resume at any time.” – Lak Lakshmanan
5. Unity Expert Gameplay Programmer Certification Preparation Specialization
This Specialization is the perfect test-prep for the Unity Certified Expert: Gameplay Programmer exam. It includes five courses designed to challenge you with a series of realistic programming problems in Unity video-game projects, the kind true gameplay programming experts face every day.
Each challenge is inspired by one or more of the topics covered in the Expert Gameplay Programmer exam, and by the end of this Specialization, you will have had extensive, guided practice in the programming skills needed to pass this exam.
6. Applied Data Science Specialization – IBM
This is an action-packed Specialization for data science enthusiasts who want to acquire practical skills for real-world data problems. It appeals to anyone interested in pursuing a career in Data Science and already has foundational skills (or has completed the Introduction to Applied Data Science Specialization). If you don’t know Python, no problem, the first course in the Specialization is beginner friendly and will take you through the basics.
7. Data Visualization Specialization – Arizona State University
Visual representations generated by statistical models help us make sense of large, complex datasets through interactive exploration. This Specialization covers techniques and algorithms for creating effective visualizations based on principles from graphic design, visual art, perceptual psychology, and cognitive science to enhance the understanding of complex data.
This course is part of the fully-online accredited Master of Computer Science degree program from Arizona State University. If you are accepted into the program, you could get credit for course.
8. Managing Major Engineering Projects – University of Leeds
The University of Leeds is ranked in the top 100 in the world for engineering and technology. In their new Managing Major Engineering Projects Specialization, you will be exposed to best practices for planning and delivering major engineering projects. You’ll gain a deep understanding of project management which will prepare you to deliver these projects and progress your career into this area.
9. Introduction to Augmented Reality and ARCore – Google Daydream
Dive into the world of augmented reality (AR) with Google Daydream. This course will break down complex AR concepts to make them easy to understand, while also sharing expert tips and knowledge from Daydream’s ARCore team. The course is great for beginners who are just getting started with AR or ARCore.
10. Mathematics for Machine Learning – Imperial College London
Build a solid foundation in mathematics geared towards machine learning and data science and enter the field of AI with confidence. This Specialization will help you bridge the gap between mathematics, machine learning, and data science, as you learn from one of the top-10 ranked schools in the world.
The post 10 New Specializations and Courses in Cutting-Edge Topics appeared first on Coursera Blog.
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