The global world is changing, and advancement in technology is responsible for that. As the need for tech skills, specialized technical expertise is growing, more businesses invest heavily in training, skill acquisition, hiring, and cultivating the best talent they can find to stay relevant with the current global pandemic.
According to the latest release on tech personnel deficit, the tech industry is short of tech personnel, making the tech industry an obvious and attractive career choice for people willing to make a career swap.
Employees willing to spend time developing technical skills will have a huge advantage in landing some of the most in-demand and newly created jobs in the tech sector.
The internet offers a lot of tech skills that are relevant in the labor market. Many in-demand tech skills can be found on Coursera and Udemy platforms.
Tech businesses and, indeed, all organizations in the global era are beginning to understand that digital capabilities are important to workers in the digital world. It is more important than ever for new hires to be cross-disciplined and have hard and soft skills.
Artificial Intelligence
Artificial Intelligence (AI)is the latest addition to the tech industry. It is a unique course that has become synonymous with tech innovation. Today, most businesses now use a vast number of services and tools with Artificial intelligence integration.
According to recent research and statistics, Emerging Artificial Intelligence Jobs experienced a surge in growth, and hiring in the last five years is at a high 74% per year.
Artificial intelligence is aiming to produce some of the most important and disruptive innovations of this century. Self-driving vehicles, robotic aides, and advanced disease diagnostics are all results of the new AI revolution that will reshape how we live and function.
Quick Career Statistics
- The latest data shows that artificial intelligence’s market size was valued at $27.23 billion in 2019 (Fortune Business Insights, 2020).
- The global artificial intelligence market is expected to reach $267 Billion by 2027 (Fortune Business Insights, 2020)
- Artificial intelligence statistics from a recent survey show that more than nine in ten (91.5 percent) top businesses surveyed report having an ongoing investment in AI (NewVantage, 2020).
Online Learning Platform
Cousera.org
- AI For Everyone offered by DeepLearning.AI
- Introduction to Artificial Intelligence (AI) offered by IBM
- AI in Healthcare Specialization offered by Stanford University
Udemy.com
- Tensorflow 2.0: Deep Learning and Artificial Intelligence
- Artificial Intelligence: Reinforcement Learning in Python
- Artificial Intelligence 2018: Build the Most Powerful AI
Skills required to learn Artificial Intelligence
The Skills You Need to Work in Artificial Intelligence
Math: statistics, probability, predictions, calculus, algebra, Bayesian algorithms, and logic.
Science: physics, mechanics, cognitive learning theory, language processing
Computer science: data structures, programming, logic and efficiency
Why study this Course
- Bright career
- AI is versatile
- Skill of the century
- Ingests huge amounts of data
- Improved disaster management
- Benefit of the society
- AI improvises user experience
Learn more about online software courses to be a software engineer on our blog
Machine Learning
With the market for skilled engineers more than doubling over the last few years, there are countless prospects for machine learning experts who want to work on the cutting edge of AI research and development.
While AI and machine learning are related, they are separate specializations: machine learning is part of AI, but not all AI is machine learning. Still, both disciplines deliver exciting career prospects, with AI and machine learning employment primed for accelerated growth.
Skills such as TensorFlow, Python, Java, R, and Natural Language Processing are skills that you can master today to increase your chances of being hired for an AI or ML job, as these skills currently are in high demand.
While machine learning positions provide fantastic opportunities, It can be challenging as it requires a great amount of studying to develop the skills needed. This is particularly true of those who lack formal engineering or computer science knowledge. However, a range of online tools and programs are available to help you get started.
Quick Career Statistics
- Machine-learning jobs are projected to be worth almost $31 billion by 2024. That’s an annual growth rate of more than 40% over six years.
- Since AI is the crux of Machine learning, there are estimates that the machine learning market will contribute as much as $15.7 trillion to the world economy by 2030.
Online Learning Platform
Cousera.org
- Machine Learning Specialization offered by Stanford University
- Machine Learning for All offered by University of London
- Advanced Machine Learning Specialization offered by HSE University
Udemy.com
- Machine Learning A: Hands-On Python & R In Data Science by Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Support, Ligency Team
- Introduction to Machine Learning for Data Science Created by David Valentine
- Data Science: Deep Learning in Python Created by Lazy Programmer Inc
Skills required to learn Machine Learning
Math: statistics, probability, predictions, calculus, algebra, Bayesian algorithms, and logic.
Science: physics, mechanics, cognitive learning theory, language processing
Computer science: data structures, programming, logic and efficiency
Why study this Course
- Bright career
- AI is versatile
- Skill of the century
- Ingests huge amounts of data
- Improved disaster management
- Benefit of the society
- AI improvises user experience
Learn more about other online machine learning courses on our blog
Cloud Computing
The cloud computing course is an in-demand tech skill aimed to improve the skill set in clouds, distributed systems, and Networking. This course will enlighten you about and build distributed and networked systems for clouds and big data. Cloud computing is rapidly becoming the norm, and some industries are further ahead than others making the course a trending career choice in this age.
Quick Career Statistics
- 74% of Tech Chief Financial Officers say cloud computing had the most measurable impact on their business in 2017, according to Forbes
- Demand for cloud will grow 18% this year to $246.8 billion in total worldwide revenue from $209.2 billion, according to Gartner
- IDC also predicts that by 2020, 67% of enterprise infrastructure and the software will be for cloud-based offerings.
Online Learning Platform
Coursera.org
- Cloud Computing offered by University of Illinois
- AWS Fundamentals Specialization offered by AWS
- Introduction to Cloud Computing by IBM
Udemy.com
- Introduction to Cloud Computing by Anand Rao Nednur
- Cloud Computing Basics: Enhance your career as Cloud Engineer by Malay Biswal
- Azure Cloud Computing For Busy .Net Developers by Manzoor Ahmed
Skills required to learn Cloud Computing
Math: statistics, probability, predictions, calculus, algebra, Bayesian algorithms, and logic.
Science: physics, mechanics, cognitive learning theory, language processing
Computer science: data structures, programming, logic and efficiency
Why study this course
- Cloud computing job market is getting huge, and the demand for cloud computing professionals will continue to grow your earning potential
- Secure jobs
- It proves your expertise and promotes credibility with employer and peers
Cybersecurity
The cybersecurity course is an in-demand tech skill and a must-have unit in big companies, financial firms, and Government agencies It is a much-needed skill for businesses who use digital and technology in their day-to-day activities and secure their data. The 2020 pandemic has forced companies to create remote workforce and operate off cloud-based platforms, which has increased the importance of cybersecurity in todays market.
Quick Career Statistics
- According to Gartner, the worldwide information security market is forecast to reach $170.4 billion in 2022.
- 88% of organizations worldwide experienced spear-phishing attempts in 2019.
- (Proofpoint) thus needing experts in the field of cybersecurity.
- Google was fined $57 billion for GDPR violations by CNIL, a French data protection agency. (TechCrunch)
Online Learning Platform
Coursera.org
- IBM Cybersecurity Analyst by IBM
- Introduction to Cybersecurity by New York University
- Introduction to Cybersecurity & Risk Management by University of California
- IT Security: Defence against the Digital dark arts by Google
Udemy.com
- The Complete Cyber Security Course: Hackers Exposed! by Nathan House
- The Absolute Beginners Guide to Cyber Security 2021 by Alexander Oni
- Skills required to learn cybersecurity
- Risk Management for Cybersecurity and IT Managers by Jason
Skills required to learn Cybersecurity
Math: statistics, probability, predictions, calculus, algebra, Bayesian algorithms, and logic.
Science: physics, mechanics, cognitive learning theory, language processing
Computer science: data structures, programming, logic and efficiency
Why study this course
- Cybersecurity is now a global priority as cybercrime, and digital threats grow in frequency and complexity.
- Anyone looking for a stable and successful career may want to consider the
- cybersecurity and intelligence industry.
- According to the Cybersecurity Jobs Report, there will be approximately 3.5 million
- unfilled cybersecurity jobs by 2021,
Full Stack Development
The Full Stack Development is ideal for programmers and developers who want a deep understanding of front-end and back-end web and app development. Today, full-stack developers often work with much larger and more complicated websites, technologies and more layered stacks than in the past: one thing that doesn’t change, the demand for this tech skill.
Quick Career Statistics
- According to the Bureau of Labor Statistics data, the role of “web developer” is expected to grow 13 percent from 2018–2028, much faster than the average occupation.
- The availability of jobs in Full Stack Development will rise from 135,000 to more than 853,000 by 2024 (U.S. Bureau of Labor Statistics)
Online Learning Platform
Coursera.org
- Developing Applications with Google Cloud Platform by google cloud
- IBM Full Stack Cloud by IBM
- Full-Stack Web Development with React by HKU
Udemy.com
- Beginner Full Stack Web Development: HTML, CSS, React & Node by Mark Wahlbeck
- The Full Stack Web Development by Eduonix Learning Solution
- Full-stack web development and AI with Python (Django) by John Harper
Skills to Learn Full Stack Development
Math: statistics, probability, predictions, calculus, algebra, Bayesian algorithms, and logic.
Science: physics, mechanics, cognitive learning theory, language processing
Computer science: data structures, programming, logic and efficiency
Why Study this Course
The demand for full-stack developers stems from the increasing power of the tools.
- React is no longer a front-end library. Today, you can use React to write back-end software and to configure your infrastructure.
- Full-stack development does no longer requires multiple programming languages.
AR and VR
In the digital age, where innovation and technology are top-priority, coding is an essential in-demand skill in augmented reality and virtual reality. Online Courses in virtual reality (VR) aims to create an entirely immersive experience; augmented reality (AR) takes a slightly more modest approach by layering digitally created elements over the real world. Learning this course will put you in a firm position to leverage future technologies.
This course will introduce you to Virtual Reality (VR). The course will teach you everything from the basics of VR-the hardware and the history of VR- to various applications of VR.
Quick Career Statistics
- 5.5 million units of AR and VR devices are set to be further shipped to customers
- worldwide, in 2020 (Statista, 2020).
- The augmented reality market is expected to hit $70-$75 billion in revenue by 2023.
- The global market size of AR and VR is forecast to hit $18.8 billion in 2020 Statista, 2019).
Online Learning Platform
Coursera.org
- Mobile VR App Development offered by Unity
- VR and 360 Video Production by Daydream
- Introduction to Virtual Reality offered by University of London
Udemy.com
- Augmented Reality apps with ARKit and SceneKit on iOS Romain Derrien
- Introduction to Animation, Video Editing & Content Creation by Global education foundation
Skills required to learn AR and VR
Math: statistics, probability, predictions, calculus, algebra, Bayesian algorithms, and logic.
Science: physics, mechanics, cognitive learning theory, language processing
Computer science: data structures, programming, logic and efficiency
Why study this course
The future of augmented reality looks bright in the following areas
- Military AR Investments
- Auto Investments in AR Technology
- AR in the Classroom
- The AR Factory
- Augmented Healthcare
- Wearable AR Devices
Blockchain
Not long ago, the blockchain took the world by storm and changed the whole financial transaction dynamics. It simplifies economic trade through encrypted blockchain software. Though, blockchain has a mixed reaction among many people, the truth remains that it offers the best financial solution for the future and an an in-demand tech skill in this tech age.
You will understand smart contracts, a core idea and computational model of blockchain that enables automation, autonomy, scalability, and transparency. In general, the blockchain course is like an insight into the future and impressive skill that will give you an edge in the global financial world.
Quick Career Statistics
- 77% of financial sector incumbents adopted blockchain as part of their systems or processes in 2020
- Blockchain will expand beyond financial services.
Online Learning Platform
Coursera.org
- Blockchain by University offered by Buffalo
- Business Models of Blockchain offered by Duke University
- Blockchain Revolution offered by Insead business school
Udemy.com
- Blockchain A-Z: Learn How To Build Your First Blockchain by Hadelin de Ponteves
- Bitcoin and Blockchain Fundamentals by George Levy
- Blockchain for Business: The New Industrial Revolution
Skills required to learn Blockchain
Math: statistics, probability, predictions, calculus, algebra, Bayesian algorithms, and logic.
Science: cognitive learning theory, language processing
Computer science: data structures, programming, logic and efficiency
Robotics
Robotic is a unique course in computer science and engineering that deals with the design, construction, operation, and application of robots in everyday activities. This in-demand tech skill course will prepare and equip enrolled students with technology design competencies, programming, repairing, and installing machines.
Quick Career Statistics
- The market demand for advanced robotics in the manufacturing industry is expected to grow at a compound annual growth rate of 46 percent over the next four years to reach 3.7 billion U.S. dollars by 2021.
- 88% of businesses worldwide plan to adopt robotic automation into their infrastructure.
Online Learning Platform
Coursera.org
- Self-Driving Cars offered by University of Toronto
- Modern Robotics: Mechanics, Planning, and Control offered by Northwestern
- Robotics offered by University of Pennsylvania
Udemy.com
- Robotic Process Automation by Bryan Lamb
- Electricity & electronics – Robotics, learn by building by Lan Juby
- Industrial Robotics by Fabrizio Frigeni
Skills required to learn Robotics
Math: statistics, probability, predictions, calculus, algebra, Bayesian algorithms, and logic.
Science: physics, mechanics, cognitive learning theory, language processing
Computer science: data structures, programming, logic and efficiency
Low-Code Programming
Low code programming is an in-demand tech skill for low-level developers who writes code that is very close to the hardware in low-level languages such as assembly and C.
Skills required to learn Low-code programming
Math: statistics, probability, predictions, calculus, algebra, Bayesian algorithms, and logic.
Science: physics, mechanics, cognitive learning theory, language processing
Computer science: data structures, programming, logic and efficiency
Why study this course
- It is a multidisciplinary field
- It is an extremely creative and exciting field
- Numerous opportunities available
- You will have plenty of room for innovation
Product Management
The project management course is ideal in-demand tech skill for individuals who want to advance in the digital marketing workspace. The course will help you create and manage a team that drives alignment and autonomy. You will also be able to lead from the front with actionable design narrative on your customers while enhancing creative innovations.
Quick Career Statistics
- According to Glassdoor, statistics from 40,713 analyzed salaries put the average base pay for a product manager at approximately $108,992.
- According to the results, 26% of the product managers polled had 3-5 years’ work experience.
Online Learning Platform
Coursera.org
- Digital Product Management offered by University of Virginia
- Project Management Principles and Practices offered by UCI
- Brand and Product Management offered by IE Business school
Udemy.com
- Become a Product Manager | Learn the Skills & Get the Job by Cole Mercer
- Product Management 101 offered by Todd Birzer
- Advanced Product Management offered by Evan Kimbrell
Skills required to learn Product Management
- Communication
- Collaboration
- Time management
- Leadership Management
- Organization
- Problem-solving
Why study this course
- More job opportunities
- High demand skill with high salaries
- Constant learning
- It is a growing industry
- Many career options
Internet of Things (IoT)
The internet of things (IoT) is an highly competive course with various job opportunities. Its a market that consist of major players like microsoft, Cisco System, Google, IBM and many others. Enrolling for this online course will enable participants to better understand how to transform physical world into a complex and dynamic system of connected devices.
This in-demand tech skill available on different online learning platforms like coursera, Udemy and EDX covers the development of Internet of Things (IoT) products and services—including devices for sensing, actuation, processing, and communication
Quick Career Statistics
- The global IoT market is expected to reach a value of USD 1,386.06 billion by 2026 from USD 761.4 billion in 2020
- Machine-to-machine connections are anticipated to rise 19% and account for 50% of all connections by 2023, according to Cisco’s 2020 Annual Internet Report.
Online Learning Platform
Coursera.org
- An Introduction to Programming the Internet of Things (IoT) by University of California
- AWS IoT: Developing and Deploying an Internet of Things by Amazon web service
- Industrial IoT on Google Cloud Platform by Google cloud
Udemy.com
- Internet of Things (IoT) – The Mega Course by Ritvik Dave
- The Internet of Things (IoT): 2021 Trends and the Future by Srindhi Ranganathan
- Build Internet of Things with ESP8266 & MicroPython by Miubi Systems
Skills required to learn Internet of Things
Math: statistics, probability, predictions, calculus, algebra, Bayesian algorithms, and logic.
Science: physics, mechanics, cognitive learning theory, language processing
Computer science: data structures, programming, logic and efficiency
Why study this Course
Internet of Things is an extensive field with many number of domains such as Electronics, Computer Science, Mechanical and many others. In fact, it brings you more opportunity for people as the industry grows like;
- IoT Careers Opportunity
- Professional in Sensors and Actuators
- Pay rise in IoT Jobs
Mobile Development
The mobile development app growth has continue to grow at exponential growth and virtually for every five software engineers, there is a mobile developer. The course, an in-demand tech skill teaches enrolled students how to develop mobile apps on various mobile operating systems like Google Android and Apple iOS.
Quick Career Statistics
- According to Statista, in 2020, the number of mobile users worldwide stood at 6.95 Billion, with forecasts suggesting this is likely to rise to 7.1 billion by 2021.
- In 2024, the number of mobile users worldwide is projected to reach 7.41 billion.
- Mobile apps are expected to generate over $935 billion in revenue by 2023.
Online Learning Platform
Coursera.org
- Full Stack Web and Multiplatform Mobile App Development offered by HUC
- Build Your First Android App offered by Cenrale Supelec
- Android App Development offered by Vanderbilt University
Udemy.com
- iOS 11 & Swift 4 iOS App Development offered by Dr Angela Yu
- The Complete Android N Developer Course offered by Rob Percival
- Complete Android 11 Jetpack Masterclass offered by Denis Panjuta
Skills required to learn Mobile Development
Math: statistics, probability, predictions, calculus, algebra, Bayesian algorithms, and logic.
Science: physics, mechanics, cognitive learning theory, language processing
Computer science: data structures, programming, logic and efficiency
Why study this course
- It is creative and fun
- Career fulfilment
- Staggering job demand
- Work flexibility
- You can work from anywhere
Quantum Computing
Quantum computing is not fresh but always relevant in machine learning, as you will Learn the computer architecture of complex modern microprocessors. Everyday Computers use transistors to work with zeroes and ones individually. In contrast, quantum computers can work with zero and one simultaneously, using something called superposition quantum states. This course will allow better Understand computer and computing.
Quick Career Statistics
- The annual wage for physicists in colleges, professional schools, and universities is $63,840.
- There could be between 2,000 and 5,000 quantum computers worldwide by 2030.
- It takes ten years for Boolean logic computers to complete a task the latest Google Quantum computers do in 3 seconds.
Online Learning Platform
Coursera.org
- Computer Architecture by Princeton University
- Programming a Quantum Computer with Qiskit by Project network
- Learn Quantum Computing Online
Udemy.com
- Quantum Computing and Quantum Machine Learning by Rushabh Doshi
- Dummies guide to Practical Quantum Computing with IBM Qiskitby Abhilash Nelson
- Quantum Computing for Beginners by Kazi Nasrat Ali
Skills required to learn Quantum Computing
Math: statistics, probability, predictions, calculus, algebra, Bayesian algorithms, and logic.
Science: physics, mechanics, cognitive learning theory, language processing
Computer science: data structures, programming, logic and efficiency
Why study this course
- Quantum computers could spur advancement and breakthroughs in science, medications to save lives.
- Quantum computers have the potential to revolutionize computation by making certain types of classically intractable problems solvable.
Data Science & Analytics
Data science course is still a rising career choice in the global world and there is still a huge shortage of data scientists to job availability and the demand for the tech skill is not slowing down. If you want to build a successful company in the 21 century, then you have to use data to your advantage. This course covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modelling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. Also, you will be able to distinguish operational from analytic databases, and understand how these are applied in big data
Quick Career Statistics
- the growth rate is data scienctist is actually projected at 31%, one of the highest in The United States.
- The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018.
Online Learning Platform
Coursera.org
- IBM Data Science Professional Certificate offered by IBM
- Data Warehousing for Business Intelligence offered by University of Colorado
- Modern Big Data Analysis with SQL offered by Cloudera
Udemy.com
- Data Science A-Z offered by Kirill Eremenko
- Data Science, Analytics & AI for Business & the Real World offered by Rajeev D. Ratan
- Statistics & Mathematics for Data Science & Data Analytics offered by Nikolai Schuler
Skills required to learn Data Science
Math: statistics, probability, predictions, calculus, algebra, Bayesian algorithms, and logic.
Science: physics, mechanics, cognitive learning theory, language processing
Computer science: data structures, programming, logic and efficiency
Why study this course
- Data Scientists are Highly Prestigious
- Data Science is greatly in demand
- A Highly Paid Career
- No More Boring Tasks
Network and Information Security
Network communication is a course that focuses on launching your career in computer networks and security. Enrolling in this course, will introduce you to the fundamentals of network architecture, concepts, and network design, whereby you learn to develop your communication skills.
Quick Career Statistics
- The number of unfilled Network support jobs is expected to grow by 350 percent, from one million positions in 2013 to 3.5 million in 2021
- 85% of positions are filled through networking.
Online Learning Platform
Coursera.org
- Google Cloud Networking Professional Certificate offered by Google
- Google IT Support offered by Google
- Computer Communications offered by University of Colorado
Udemy.com
- Cisco – TCP/IP & OSI Network Architecture Models offered by Keith Gebhardt
- Security Engineering & Communication and Network Security offered by CISSP Academy
- The Power of Networking: Land your dream job by standing out offered by Philip Hofmacher
Skills required to learn Network and Information Security
Math: statistics, probability, predictions, calculus, algebra, Bayesian algorithms, and logic.
Science: physics, mechanics, cognitive learning theory, language processing
Computer science: data structures, programming, logic and efficiency
Why study this course
- Opportunities abound
- Get access to job opportunities
- You get connected to the most connected people
- Raise your profile
- Advance your career
- Gain more knowledge
Data Visualization
The data visualization course enables participants to learn the skill of graphical representation, information, and data use by using visual elements like charts, graphs, timelines, maps, and data. More than ever, this skill is needed as the world relies more and more on data, and understanding raw data helps create innovative data visualization. This data visualization is perfect for business owners and decision-makers who want to learn and understand how the business data is being interpreted to determine business decisions. Also, you will enjoy using critical thinking and problem-solving skills to take raw data and present it in various ways.
Quick Career Statistics
- According to Nuclear Research, a business intelligence with data visualization capabilities will offer an ROI of $13.01 back on every dollar spent
- According to Kissmetrics, high-quality infographics are 30x more likely to be read than plain text
- People who follow directions with illustrations do 323% better than those who follow text-only directions
- Managers in organizations with visual data recovery tools are 28% more likely to find timely information than those who rely on managed reporting and dashboards
Online Learning Platform
Coursera.org
- Data Visualization with Tableau offered by University of California, Davis
- Data Visualization with Python offered by IBM
- Python for Data Visualization: Matplotlib & Seaborn offered by Coursera Project Network
Udemy.com
- Microsoft Excel – Data Visualization, Excel Charts & Graphs by Maven Analytics
- Learning Python for Data Analysis and Visualization by Jose Portilla
Skills required to learn Data Visualization
Math: statistics, probability, predictions, calculus, algebra, Bayesian algorithms, and logic.
Science: physics, mechanics, cognitive learning theory, language processing
Computer science: data structures, programming, logic and efficiency
Why study this course
- Career path in data visualization
- Grasping the latest trends
- High paying salaries
Data Engineering
Computer engineering is an in-demand career for over 20 years, and there is no sign that this will slow down soon. It is a course that you can learn online and be equipped with technical skills. The Computer engineering course can be divided into various modules and dimensions. You can learn how Digital Computers and electronic systems work, information technology and computer engineering, and the ability to design Computer architecture.
Quick Career Statistics
The computer-aided engineering market is forecast to reach 3.8 billion U.S. dollars in size.
Online Learning Platform
Cousera.com
- Computer Architecture offered by Princeton University
- SRE and DevOps Engineer with Google Cloud offered by Google Cloud
Udemy.com
- Digital Computer Electronic Engineering Circuit Simulations offered by Dr. Oscar Rodriguez
- Computer Hardware, Operating System and Networking offered by Ilanchezhian
- Beginner’s Guide to Information Technology offered by Robert Gioia
Skills required to learn Data Engineering
Math: statistics, probability, predictions, calculus, algebra, Bayesian algorithms, and logic.
Science: physics, mechanics, cognitive learning theory, language processing
Computer science: data structures, programming, logic and efficiency
Why study this course
- Great Income
- Job Security
- Constant Innovation
Learn more about our other online innovation courses on our blog