Data Science
& AI
VR, AR, XR
MR
Career
Coaching
Access to Tailored Job Opportunities
Receiving valuable tips and resources for your career growth
Continuous Career Support from Industry professionals
Find the best job based on your
interests and areas of expertise!
Click on the bubble to see the job
position and required skills!
Data
Specialist
Technical
Operation Expert
Machine Learning
AI Engineer
Software
Developer
Required Skills:
Develop a deep understanding of programming languages, algorithms, MR Technology, data structures, and computer architecture to lay the groundwork for learning advanced technologies.
Keep up-to-date with the latest advancements in machine learning, computer vision, VR, AR, Mixed Reality field, natural language processing, and other related topics to gain expertise in these rapidly evolving fields.
Work closely with experts in diverse fields, such as psychology, neuroscience, and design, to create interdisciplinary solutions that meet real-world needs.
Focus on developing technologies that have real-world applications and can improve your working environment. Understand the needs and desires of people to create meaningful solutions that provide value to society.
Data science is the process of applying statistical and computational methods to extract insights from data, discover relationships, and detect patterns. In today's dynamic marketplace, data-driven decision making is becoming increasingly important, and companies across industries are relying on data scientists to harness the vast potential of big data as an asset for success, and these skills are opening up job opportunities in a variety of industries.
Foundation in mathematics
Statistics
Computer programming
Machine learning algorithms
Data visualization techniques
Learning to create interactive design structures in mixed reality can open up many exciting opportunities for students in various industries. It requires a combination of technical and creative skills. Incorporating images into a student learning platform related to mixed reality can enhance the learning experience and make complex concepts more accessible.
3D modeling and animation
Unity or Unreal Engine
Programming languages C#, C++, Python
User experience (UX) design
Mixed reality technologies
Our cutting-edge solutions take youto a New level of success.
Build your
technical skill
A structured learning plan that covers all the topics and skills needed to master cutting-edge disciplines. To understand complex concepts and apply them in real-world scenarios. Daily progress monitoring and key takeaways.
1
Find your
career path
Enables you to be the best you can be, both in your role now, and in your career in the long term. Coaching is all about realising your potential, by looking at things more broadly and gleaning from others' experiences, to fast-track your own progress.
2
Project
experience
Even college students, recent graduates, and engineers with only a few years of experience in real projects can overcome their lack of experience by experiencing multiple projects through courses with project work.
3
Job interview
preparation
Feedback on applications - As a Job seekers may submit many applications without feedback on their candidacy. Providing application feedback can help job seekers feel more engaged and understand where they stand.
4
The dashboard visualizes your understanding of the subject you are studying, your progress rate, your position in the whole, and the gap between your goals and your current status, making it easy to set goals.
Test Series
Anyone who registers as a member can take a free test for each lecture category. The tests are constantly updated, so check & improve your current skills as many times as you like! Every Sunday, Exam will be sent out to subscribes!
Structured curriculum &
project work for real work
Learning a new field on your own can make it difficult to understand complex concepts and apply them in the real world, but our comprehensive curriculum and practical skills.
Incorporate interactive
content for learning achivement
Including content such as quizzes, polls, and surveys, the system incorporates elements of active student participation in education within the offline lecture.
Online community
for growing together
Discuss the learning topics – this includes sharing feedback, asking questions, and more. Grow your data science skills by competing in our exciting competitions
Career goals are a clear definition of the ideal job you aspire to throughout your career. Our professional coach with extensive experience as an engineer will help you set realistic and clear career goals and enable you to set your own action plan (personal development plan) to achieve your professional ambitions.
Leverage our professional coaching to sharpen your CV, optimize your GitHub repositories, and polish your LinkedIn profile. Our zeroney coaches assist in aligning these key professional tools with your career objectives, ensuring they effectively showcase your skills, experience, and potential to employers. Elevate your professional brand and open doors to new opportunities with a compelling, cohesive online presence.
The interview may involve questioning from the hiring manager and tests that require you to demonstrate your industry knowledge. Knowing how to prepare for the meeting with the employer can enable you to make a good impression and show that you can handle the responsibilities of the job you’re seeking. ambitions.
Data Science Basic Course
I usually work as a software engineer, creating business management applications, etc. I decided to study data science and AI because I wanted to advance my career from a software career. Although I was originally good at mathematics, I felt limited in my ability to study on my own due to the wide range of areas I had to learn in the data science field. The course even advised me on the order in which to study in the curriculum and how to study efficiently, so I was able to study intensively for 6 months and achieve the career advancement I wanted. In the future, I would like to take developmental courses to increase my expertise in this field, become a rare talent, and become an engineer who can handle a wide range of projects.
IT company,
Software engineer
Data Science Basic Course
In the field of product manufacturing, AI and machine learning are being implemented, so learning the basics of mathematics and IT, which are essential in streamlining and automating operations, was very useful. At university, I studied basic mathematics, but I had forgotten many parts and was not good at mathematics, but as I repeatedly watched lecture videos and completed assignments, I was able to naturally consolidate my knowledge. My interest in statistics has grown stronger, and I would like to continue learning and deepening my knowledge in the statistical field.
Electronics Company,
Product manager
Data Science Basic Course
Although I did not major in IT at university, I worked at a financial securities firm and felt the need for mathematics to deepen my understanding of how financial products work. The Basic Course covered everything from elementary to intermediate university mathematics, so I was able to master it without difficulty, even though I had been away from studying mathematics. In order to clarify the ideal job I want to pursue throughout my career, Zeroney's professional coach with extensive experience as an engineer will help me set realistic and clear career goals and create my own action plan to achieve my professional aspirations. I will continue to utilize this course to broaden my professional horizons.
Financial securities firm
Business manager
We cooperate with leading universities and companies
Nishendra Singh
Stadler Rail AG, Switzerland
Cyber security and Networking
Engineer
Computer Science
Pei Chun Lin
Feng Chia University, Taiwan
Associate Professor
Department of Information
Engineering and Computer Science
Patric Hung
Ontario Tech University, Canada
Professor
Faculty of Business and Information
Technology
Maria Mushtaq
Telecom Paris, France
Associate Professor
Department of Communications and
Electronics
Charles C.N. Wang
Asia University, Taiwan
Associate Professor
Department of Bioinformatics
Save 10%
One time payment
Make a single payment at checkout
Save with our 10% Discount offer
Retake any lectures as many times as needed within the set period
Course certificates
Easy Budjeting
Installment Payment
Pay for your course in three installments
First payment charged at checkout
Remaining two payments automatically charged at 30-day intervals
Installment payments are available for courses lasting longer than 6 months.
Retake any lectures as many times as needed within the set period
Course certificates
Flexible
Course Extension Plan
Purchase plan to extend course duration in one-month increments
Flexible course completion
Retake any lectures as many times as needed within the set period
Course certificates
Installment payment is a financial arrangement where a large sum of money is divided into smaller, manageable payments over a specified period. You can choose to pay in a one-time payment or in installments on the payment page.
Data Science
Basic Course
Total
Amount
US$660
Course Price
US$220.0/month for 3 months
*No additional fees for installment payments
Installment
Amount
US$220
1st Month
Installment
Amount
US$220
2nd Month
Installment
Amount
US$220
3rd Month
Stripe enables you to make payments easily and securely in your own currency using a variety of local payment methods including online banking, bank transfers, cards, and e-wallets. The available payment methods depend on the country you are paying from. You will be able to take advantage of these increased payment options to make payments via the ‘My Account’ section of the Student Portal.
Notes :
Residents of Myanmar are not allowed to use online banking, bank transfers and e-wallets, so credit cards are the only accepted payment method.
Maximize the value of the lives of working engineers, regardless of the country or style
Asami Moriya
Founder & CEO
Zeroney Inc.
Zeroney Co., Ltd
HoneStyle Co., Ltd
Kodai Wakisaka
Chief Technical Advisor
M.S.Mathematics and Mathematical
Analysis, Graduate School of Science,
Kyoto University
Vishal Chauhan
Technical Advisor
Doctoral researcher in Creative
Informatics, The University of Tokyo
Hsu Hninn Htike
Marketing Director
Bachelor of Arts, Political Science
University of Yangon
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