HomeBlogHow to learn in-demand tech skills on Coursera and Udemy

How to learn in-demand tech skills on Coursera and Udemy

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

Udemy.com

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

Udemy.com

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

Udemy.com

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

Udemy.com

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

Udemy.com

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

Udemy.com

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

Udemy.com

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

Udemy.com

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

Udemy.com

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

Udemy.com

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

Udemy.com

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

Udemy.com

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

Udemy.com

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

Udemy.com

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

Udemy.com

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

Udemy.com

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

Federico Pacifici
CEO of IoT Worlds. Creative and innovative IoT Engineer, Project Manager and Digital Marketing Specialist with strong passion and skills on high-tech. Able to see the IoT big picture. Build, propose and provide end-to-end turnkey IoT Projects. Experienced in large and complex projects in different market (Automotive, Oil and Gas, Healthcare, Intelligent Transportation Systems, Smart Cities, Telecom) and countries.
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