theITern : Top 10 IT Skills In High Demand In The Tech Industry

At theITern, a lot is said about the Tech industry today becoming one of the biggest and most industry in the world as there is a daily demand for IT professionals all over the world. Technology is changing lives and the world at large, hence the growth and power.

Skills you might consider getting to enhance your IT career include but limited to the following and in no particular order:

  1. Cloud Computing
  2. AI & ML
  3. Cyber Security
  4. Data Science
  5. Software Development
  6. Business Intelligence
  7. Programming
  8. DevOps
  9. Project Management
  10. Augmented Reality (AR) & Virtual Reality (VR)

Cloud Computing (theITern)

Cloud Engineers in a Data Center

As taught at https://theITern.com, Cloud refers to a network or internet that provides both public and private networks. Cloud computing is about storing our data in the internet from anywhere and accessing it from everywhere. Cloud engineers are IT professionals who goes into cloud to use infrastructure, services and tools available therein to build IT solutions that solve real life problems. They use these tools to administer, manage resources and secure Networks by taking advantage of Cloud’s Availability, Durability, Scalability, Resilience and other features.

Skills: Knowledge of the following cloud platforms can be useful: Amazon AWS, Google Cloud, Microsoft Azure, Oracle Cloud.

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Artificial Intelligence(AI) & Machine Learning (ML) (theITern)

Artificial Intelligence (theITern)

Artificial Intelligence is a broad branch of Computer Science used to create intelligent machines that can recognize human speech, objects, learn, plan and solve problems just like humans. AI is becoming increasingly important within medicine as it supports doctors when diagnosing diseases. Looking at the educational sector, we would see how AI helps to individualize learning activities. AI is capable of converting spoken languages into texts and translating them into other languages using these methods:

  • You can program each individual instruction so that the machines solve tasks step by step.
  • You can use programs that learn data by themselves, this enables them to detect relevant data. This is known as Machine Learning.

Machine Learning

Machine Learning (ML) is a subset of Artificial Intelligence (AI) and it is the science of making computers learn and act like humans by feeding them with data and information without being explicitly programmed.  The system learns on its own, we only provide historical data.

A Typical example is the use of Snapchat to apply filters on our photos. Do you know how snapchat recognizes the photo on the screen and put filters on it? Snapchat does this using a technique called Facial Recognition which in turn uses Machine Learning (ML). The ML algorithms detect the features on your face like your eyes, nose, mouth and it knows exactly where they are and applies the filters accordingly.

Skills: Skills such as Python, Java are the highest demand.

Cyber Security (theITern)

This involves techniques that help in securing various digital component networks, data and computer systems from unauthorized digital access. Cyber security can be executed in several ways depending on the type of cyber-attacks you are prone to and networks you are connected to.

Types of Cyber-attacks

  • Malware Attack: This is one of the most common cyber-attacks like trojan, hardware and spyware
  • Phishing Attack: Here, the hacker sends fraudulent emails which are assumed to be sent from a legitimate source. This is done to install malware or to steal sensitive data like login credentials and credit card information.
  • Man-In-The-Middle Attack: Here, the hacker gains access to the information path between the victim’s device and the website server. The hacker’s computer takes over the victim’s IP address. By doing so, the communication line between the victim and the website is intercepted. This commonly happen with unsecured WIFI networks and through hardware.
  • Password Attack: This is one of the easiest ways to hack a system. Here, the victim’s password is cracked by using common passwords or by trying all possible alphabetical combinations.

How to Prevent Future Cyber-attacks

  • Install a Firewall Law: As the name suggests, it is a virtual law between your computer and the internet. Firewalls filters the incoming and outgoing traffic from your device to safeguard your network. Firewalls can be either software application or hardware re-inforcement.
  • Implement Honeypots: Just as flowers attracts bees, dummy computer systems called Honeypots are used to attract attackers. These systems are made to look vulnerable in order to deceive attackers and in turn defend the real systems
  • Use Antivirus Software: Cyber-attacks are not just confined to individuals but also to public and private companies, and attacks in such places are more deadly and results in colossal loses.

Types of Cyber-Attacks Companies Are Subjected To

  •  Advanced Persistent Threat (APT): In this form of attack, hackers gain access to information for a prolonged period of time in other to continuously gain confidential information of a company.
  • Denial of Service Attack (DOS): In this Type of attack, when networks are flooded with traffic, this could in turn leave legitimate service(s) requested unattended to.
  • Distributed Denial of Service Attack (DDOS): This is a variant of the DOS attack in which multiple systems are used to launch the attack.
  • SQL Injection Attack: This is when a hacker manipulates a standard SQL query in a database website. By doing so, the hacker can view, edit and delete tables from a database.

 To help with these, cyber security professionals are hired to work on identifying cyber-threats and securing a company’s network.

Data Science (theITern)

Data Scientist (theITern)

Data Science is the process of using data to find solutions to problems. Data on its own isn’t useful until it is turned into information. You get this information from analyzing your data to get insights. A Data Scientist gathers and processes data to convert its raw format to a cleaner format. Data Science goes beyond creating awesome visualization or writing codes, it is about using data to solve problems, by preparing data acquired, analyzing and modeling the data into useful solutions. Various roles offered to Data Scientists include Data Analyst, Machine Learning Engineer, Data Engineer, etc.

 Skills: These include Specific programming skills like Python, R, Java, Julia, Go, SQL, Scala, etc.

Software Development (theITern)

software Engineer (theITern)

Software Development is a process of building computer programs using testing, development, documenting and building of systems software and applications software. Software Developers are professionals who use their knowledge of research, and prototyping , and modification to make improvements to websites and applications, fixing bugs etc. Some Tech giants that employ Software Developers are Microsoft, Oracle, Google, Amazon, Mphasis, Accenture, IBM, HP, Facebook etc.

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Types of Software Developers

  • Frontend Developer: They specialize in the designing of the user’s-end of a desktop application or mobile application. It requires the understanding of human and machine interaction and design principles. Popular languages required are HTML, CSS, JavaScript.

Skills: Building responsive designs that supports multiple devices, ability to write codes for various types of testing, Fundamental knowledge of Git Version Control Systems, etc.

  • Backend Developer: This is the one who takes care of designing the server’s-end of a desktop application or mobile application. Programming languages needed are Perl, java, etc.
  • Full Stack Developer: This professional is someone who has mastered the Frontend and Backend development practices.

Skills:  Knowledge of both Frontend and Backend fundamental design skills, knowledge in databases, backend programming languages like Ruby, Python, PHP, etc.

  • Web Developer: These are the ones who specialize in creating websites. Major programming languages needed are Python, PHP, CSS, JavaScript etc.

Skills: Knowledge of Debugging tools, knowledge of Version Control Systems, understanding standard lawsuits on web design copyrights

  •  Desktop Developer: This professional works on software applications that run on desktop Operating System such as Linux, Mac, and Windows etc. Programming languages needed are Python, JavaScript, Perl, Java etc.
  • Mobile Developer: These are the ones who code the applications that run on mobile devices such as tablets and smart phones. Programming languages needed are Python, JavaScript, Java

Skills: He/she must have the ability to learn quickly, have strong technical and communication skills, ability to understand clients’ requirements.

Programming (theITern)

Coding is vital for any backend and frontend development and they serve as instructions for computer systems. These instructions, which are written by the Programmer will contain step by step information to perform specific tasks. Programmers must keep up with as new programming languages emerge daily. Programming languages include Java, JavaScript, Go, Python, and C++, etc. These skills keep you relevant in our ever-evolving IT world.

Business Intelligence Analyst (theITern)

Business Intelligence Analyst (theITern)

Business Intelligence (BI) is about harnessing the data that your business generates in all of its business activities. Then we analyze and visualize these data in other to clearly understand them and gain valuable insights into how your business is performing. Now, these insights in turn help you make better informed and smarter business decisions to help your business evolve and grow. BI are experienced with database technology, analytics, and reporting tools for effective delivery. These professionals are highly sought after in the IT industry because they provide data-driven analysis and accuracy of where a company stands in the industry.

 Skills: Basic skills include having an analytical, mindset Data preparation, data query, data analysis, data visualization etc.

DevOps (theITern)

DevOps Engineer (theITern)

DevOps is a methodology that aims at bridging the gap between development and operations teams. DevOps engineers use a set of software tools for effective job delivery of their projects. These engineers work with various tools to implement continuous integration and continuous deployment. These tools are Git, Jenkins, Amazon AWS cloud, Puppet, Ansible, Kubernetes, etc. DevOps engineers take a lead managing project development from start to finish, making sure everyone is clear on objectives, and aware of major deadlines, and in regular contact with each other.

To learn more about DevOps, register at https://theITern.com

Skills: Broad understanding of tools and technologies, software and infrastructure security, infrastructure automation tools, testing, Collaboration, flexibility, strong communication skills, soft skills and customer-first-mindset, etc.

Project Management (theITern)

project manager (theITern)

Project Management involves both learned and natural skills, tools and techniques that are used to meet project activities. Success projects do not just happen, they are a masterpiece of planning, management, organization, communication and sequel of events where progress is smooth and steady, one step lead seamlessly to the next to achieve success. Project management is the application of skills, knowledge and experience to carry a project to its conclusion without compromising on time, cost or quality.

Skills: Strong leadership, management skills, sound communication skill, process management, problem solving, collaboration, organizing and planning, software tools, etc.

Augmented Reality (AR) & Virtual Reality (VR) (theITern)

Augmented Reality

Augmented Reality (AR) is a technology that allows the real world blend with the virtual physical. It does not cut out the real world but enhances it to add more beauty. Example of AR is Snapchat filters where you add some emojis/elements to your face as captured by Snapchat face recognition. Hence, AR is about enhancing your experience within the real world, using digital information and it all starts with AR enabled hardware whether it is a phone or glasses. Companies are using these technology to give customers much better experiences and better use of their technology.

Virtual Reality (VR) is a technology that uses software to generate realistic images, sounds and other sensations that replicate a real environment. The user is able to look around, move about and interact with the artificial world hence, VR allows you to be anyone, do any thing or go anywhere you can possibly imagine in an artificial world. It is a digital technology that allows you to step inside a video game or a movie. The key components of a VR are the hardware(VR headset), trackability, and interactivity.

Skills: Programming Language Skills, 3D Gaming Engine or Modeling Skills, Command over UI/UX, Graphic Designing Skills, Networking Skills etc

 

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