Sunday 16 June 2019

Top 14 Tech skills in demand in 2019

Tech is a broad field, and there are a lot of interesting directions you can go in. In this article, we'll look at the various areas of tech, how much demand exists for each skill, and where to go to start your learning journey.

 The tech occupations scene of 2019 will probably look generally equivalent to it did in 2018, with jobs in programming improvement, cybersecurity, and information science ruling crosswise over businesses. 

 "Rising advances will be key impetuses for the sought after employments we hope to see in 2019," said Sarah Stoddard, people group master at pursuit of employment site Glassdoor. "From man-made reasoning, robotization, computer generated reality, digital currency and then some, interest for employments in designing, item, information science, promoting and deals will keep on ascending so as to help the advancement occurring the nation over." 
Increasingly more frequently, customary organizations are starting to look like tech organizations, and this pattern will probably proceed all through the following year, Stoddard said. "As managers crosswise over different enterprises, from human services to fund to car and the sky is the limit from there, keep on actualizing different innovations to streamline work processes and lift business, the interest for first class laborers who have a parity of specialized and delicate aptitudes will keep on rising."

 So, here are top 14 tech skills which are in demand in 2019:-

1. MACHINE LEARNING


Machine Learning
source:www.google.com







Machine learning is one of the most innovative and exciting fields moving into the future, making it one of the most profitable skills you can learn. From Siri and Alexa to chatbots to predictive analysis to self-driving cars, there are a ton of uses for this futuristic tech.
The individuals who start taking on the web courses in AI currently will at present be getting in moderately right on time, as interest is just expanding from here. "61% of associations demand that Machine Learning and Artificial Intelligence will be among their top information activities in 2018 and 2019," reports Shilpa Kulkarni. 
Machine Learning can be connected to each industry, including social insurance, training, account, and so on. Interpretation? The conceivable outcomes are inestimable, and you can apply your AI aptitudes to a job that suits your character and interests.
Quick facts about machine learning as a career:
Course facts:
  • Course Name: Machine Learning
  • Platform: Coursera
  • Course URL: https://www.coursera.org/learn/machine-learning
  • Instructed by: Andrew Ng (cofounder of Coursera)
  • Price: Free! (for the audit option, no graded items) or $79 (with certificate & graded assignments)
  • Skill level: Beginner/Intermediate (requires basic understanding of linear algebra)
Why this course?It has a 4.9-star rating (out of over 62,000 ratings), was created by Stanford University, touches on the theories behind machine learning as well as its practical applications, and is taught by the cofounder of Coursera!

2. MOBILE DEVELOPMENT

Mobile Development
source:www.google.com

In 2018, it's estimated that there will be over 2.5 billion smartphone usersin the world. This means that companies who want to stay relevant don't just need websites; they need apps. Having mobile development skills also comes with the perk that if you can build apps for others, you can build and sell your own as well–so it's an ideal career path for aspiring entrepreneurs.
One interesting direction that mobile apps are headed in is augmented reality. Apps like Pokémon Go and the upcoming Harry Potter: Wizards Unite game engage with the real world, blending technology and reality.
Quick facts about mobile development as a career:
  • Average salary: $101K (with starting salaries as high as $75K)
  • At the time of writing there are 51,181 mobile developer jobs posted on Glassdoor.
  • The global app economy is predicted to be worth $6.3 trillion by 2021, up from $1.3 trillion in 2016.
  • The future of mobile development goes beyond phones: wearable technologies, the Internet of Things, beacon technology, increase in use of VR/AR, and more.
What the course covers:

It builds 12 real-world projects to showcase to potential employers (including full Objective-C app, diary app, movie night app), learn Swift & Objective-C to build apps for i Phones, i Pads, Apple Watches, and Apple TV.

Course facts:
Why this course? Collaborate with others in an exclusive Slack channel, build real-world apps, and receive expert project reviews and feedback.


3. SEO/SEM MARKETING


SEO/SEM
source:www.google.com
Managers are searching for individuals with computerized promoting aptitudes to improve their organization's web nearness and perceivability. This is one of the tech aptitudes sought after for evident reasons: more site visits mean more transformations, clients, and income. 

In case you're information disapproved, SEO/SEM might be an incredible fit, since the job includes steady testing, estimating, and testing to perceive what works and mention changes dependent on objective facts/measurements/KPIs.

Digital marketing is another skill that can benefit you if you decide to start your own business in the future. You can leverage SEO skills to market yourself, find freelancing clients, start a tech/personal blog, and build a brand.

Quick facts about SEO/SEM as a career:

What the course covers: SEO strategy development, keyword research basics, on-page SEO fundamentals, link building.

Course facts:

Why this course? Moz.com specializes in SEO/SEM training, and it’s a comprehensive introduction to SEO giving everything you need to know to get started.

4. DATA VISUALIZATION


Data Visualization
source:www.google.com


Data visualization is a way to help people understand the significance of data by placing it in a visual context (turn spreadsheets or reports into charts and graphs that can be easily understood).
Think of this career as a bridge between technical and non-technical roles. You're taking the data collected by analysts and transforming it into a form anyone can understand.
Quick facts about data visualization as a career:
  • Average salary: $98,264 per year for Data Visualization Engineers
  • It’s in demand because employers can make sense of large amounts of data to drive real business results. For example, predict sales volume, understand what factors influence human behavior, identify areas in the business that can be improved, identify trends, relationships, patterns, etc.
  • It’s a blend of science and art: raw information meeting visually appealing mediums.
  • Data visualization is the key to “bringing the power of Big Data to the mainstream.“
What the course covers: learn how to design interactive charts and customized maps for your website using Google Sheets, Tableau, Highcharts, Carto, Leaflet, GitHub
Course facts:
Why this course? The course is taught by Trinity College faculty, and real-world examples are drawn from their students working with community organizations in Hartford, Connecticut.

5. DATA ENGINEERING

Data Engineering


Data engineering is separate from data science, but the former is what enables the latter to exist. Data engineers build the infrastructure and tools that data scientists rely on to conduct their own work.
Quick facts about data engineering as a career:
What the course covers: All the core services you’ll need to know for the Google Cloud Data Engineer test, the basics of how to use Google Cloud Platform
Course facts:
Why this course? It’s the first course in a series geared at helping you get the Google Cloud Professional Data Engineer Certificate.

6. UI/UX DESIGN


UX/UI Design
source:www.google.com


While they're in a similar family, UI and UX are extraordinary. (UI) pros plan interfaces for sites and applications to be outwardly engaging, stream well, and be simple for clients to explore. UX (client experience) masters complete a ton of research and testing to consider each component of how the client will cooperate with the organization and site, planning with engineers and UI architects. 

This sort of vocation is ideal for the individuals who need an inventive meets-expository kind of job (visual depiction meets A/B testing, etc). 

At last, UI is better for the individuals who need to concentrate on the visuals, format, and general look and feel of a page or item. UX is better for the individuals who need to utilize investigation and testing to help a business consistently address their clients' issues..
Quick facts about UI/UX as a career:
What the course covers: The critical elements of user experience–strategy, scope, structure, skeleton, and surface. Learn the basics (e.g. what UX design is and why it’s important), strategy/theory (e.g. use of color and typography), and implementation (e.g. how to create wireframes).

Course facts:
Why this course? It has a 4.3-star rating from 5,074 ratings, with 58,289 students enrolled. The instructor has been helping Fortune 100, Fortune 500, and various government organizations with UX design for nearly three decades.
BONUS – UI bootcamp option: Career Foundry, The UI Design Course That Gets You Hired.
If you're sure UI is what you want to do as a career, this Career Foundry bootcamp will get you there. The interactive program is taught by leading UI designers, takes you through every element of UI design, and comes with mentorship plus career services to help you refine your portfolio and personal brand. It boasts a 95% job placement rate, with some graduates ending up at companies like Google, Apple, and eBay. The program costs $4,000, so you should be really certain this is your goal!

7. NETWORK AND INFORMATION SECURITY (CYBERSECURITY)


Cyber Security
source:www.google.com
For any company that collects customer information or deals with sensitive data of their own, keeping networks secure is paramount.
When data breaches do happen, they can be big, newsworthy, and costly for the company to recover from. 2017 had its fair share of cybersecurity disasters, and companies famously hacked in the past include Sony, LinkedIn, Chipotle, and others.
These situations underscore just how critical it is for companies to keep their network security up to par, and make cybersecurity one of the most-needed jobs and one of the tech skills in demand in 2019. Unfortunately for those companies, right now there is a shortage of people trained in network security. Fortunately for you, that means there's a gap in the market you can fill.
If you’re curious about filling that gap, read my ultimate guide to starting a career in cybersecurity.
Quick facts about cybersecurity as a career:

What the course covers: the fundamentals of networks, systems administration, how to mitigate vulnerabilities, how to perform digital forensic analysis, risk assessment, etc.
Course facts:
Why this program?  It’s a professional certificate program made up of four courses. You’ll better understand the field of cybersecurity, what roles are available, and what cybersecurity career path is right for you.

8. CLOUD COMPUTING/AWS

Cloud computing jobs are on the rise because more and more companies are switching from the classical server infrastructure to cloud solutions. According to Gartner, the market for public cloud services is projected to grow by 17.3 3% in 2019.
Amazon Web Services is one of these cloud platforms, featuring content delivery, database storage, networking, and more–over 50 services in total. Since it is currently the biggest platform, we’ll highlight some specific facts about AWS in this section (and give an extra course recommendation for it!).
AWS specialists are usually engineers, cloud architects, or system administrators. IT professionals who are AWS-certified earn more than their non-certified counterparts. It's one of the most profitable skills an IT employee can learn to level up their tech career, as AWS specialists earn an average of $113,000 (the highest of all certifications in the United States and Canada)
Quick facts about cloud computing as a career:
What the course covers: Clouds, Distributed Systems, Networking. Learn about and build distributed and networked systems for clouds and big data.
Course facts:
  • Course Name: Cloud Computing Specialization
  • Platform: Coursera
  • Course URL: https://www.coursera.org/specializations/cloud-computing
  • Instructed by: Reza Farivar, Ankit Singla, Indranil Gupta, P. Brighten Godfrey and Roy H. Campbell
  • Price: $49 per month with Coursera subscription
  • Skill level: Intermediate
Why this course? Hands-on activities, taught by computer science professors.
What the course covers: core AWS skills and concepts needed to begin working with AWS and to achieve AWS certification.
Course facts:
  • Course Name: Amazon Web Services (AWS) Fundamentals for System Administrators
  • Platform: Pluralsight
  • Course URL: https://www.pluralsight.com/courses/aws-system-admin-fundamentals
  • Instructed by: Elias Khnaser
  • Price: Free
  • Skill level: Intermediate (requires working knowledge of virtualization, networking essentials, and general systems administration)
Why this course? You’ll have a solid understanding of how various AWS services are architected and how you can use them.

9. BLOCKCHAIN

Originally devised for the digital currency Bitcoin, blockchain has evolved. The tech community is now finding other potential uses for the technology, such as peer-to-peer payments, crowdfunding, file storage, identity management, digital voting, etc. Learn more about blockchain/cryptocurrency jobs in this article.
“With platforms like Ethereum taking the lead, more and more companies need developers who understand the blockchain, smart contracts, and can build decentralized applications,” writes Anna Belaya.
Some of the blockchain skills you should know include networking, cryptography computing, database design, and programming languages ranging from Java, JavaScript, and C++ to Go, Solidity, and Python.
Quick facts about blockchain as a career:
What the course covers: broad intro into what blockchain is, including how to design and program smart contracts and decentralized applications
Course facts:
  • Course Name: Blockchain Specialization
  • Platform: Coursera
  • Course URL: https://www.coursera.org/specializations/blockchain
  • Instructed by: Bina Ramamurthy
  • Price: $49 per month with Coursera subscription
  • Skill level: Beginner/Intermediate (requires knowledge of at least one modern, high-level programming language)
Why this course?  Includes hands-on activities and is taught by a computer science professor at University at Buffalo.

10. IOT

In the broadest sense, the term IoT encompasses everything connected to the internet, but it is increasingly being used to define objects that “talk” to each other.
“Simply, the Internet of Things is made up of devices—from simple sensors to smartphones and wearables—connected together,” says Matthew Evans, the IoT program head at techUK.
Everything that's connected to the internet can be hacked, which is why security is one top concern with these devices. A report from Samsungsays the need to secure every connected device by 2020 is “critical” and that more than 7.3 billion devices will need to be made secure by their manufacturers before 2020. Cybersecurity professionals who specialize in IoT will likely be highly sought after for this reason.
Quick facts about IoT as a career:
What the course covers: Design IoT solutions and networks, identify components required, understand how data management fits in, analyze security risks, and ultimately produce an fleshed-out idea that’s ready to prototype
Course facts:
Why this course?  The MicroMasters program—taught by a range of professors, specialists and lecturers from Curtin University—includes 6 self-paced IoT courses, live discussions, remote access to real laboratory equipment for practical sessions. The program is credit-eligible for Curtin University Master’s degrees.

11. DATA SCIENCE & ANALYTICS

Rounding off our collection of data careers are two more mainstays of Big Data: science and analytics. Revenue from Big Data applications and analytics is projected to grow from $5.3B in 2018 to $19.4B in 2026.
84% of enterprises have launched advanced analytics and Big Data initiatives to accelerate their decision-making and bring greater accuracy.
Data analysis is the more entry-level skill, whereas data science gets more advanced, but the careers are still cousins.
Quick facts about data analysis as a career:

What the course covers: Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.
Course facts:
  • Course Name: Big Data Specialization
  • Platform: Coursera
  • Course URL: https://www.coursera.org/specializations/big-data
  • Instructed by: Ilkay Altintas, Amarnath Gupta and Mai Nguyen
  • Price: $49 per month with Coursera subscription
  • Skill level: Beginner
Why this course?  Taught by San Diego Supercomputer Center experts, involves hands-on activities, and you’ll get a comprehensive knowledge of the entire Big Data industry so you can go on to choose a specialization in data analytics, science, engineering, etc.

12. ARTIFICIAL INTELLIGENCE

AI is rapidly changing the landscape of work, making it an exciting time for programmers looking for something new.
There is crossover with machine learning here, but the key difference is that AI is a broader concept pertaining to machines designed to act intelligently like humans, whereas machine learning relies on devices making sense of a specific set of data.
In 2018, 31% of businesses said implementing AI was on their agenda for the next 12 months. Their top use cases are incorporating AI in data analysis and user experience.
Quick facts about artificial intelligence as a career:
What the course covers: Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.
Course facts:
  • Course Name: Big Data Specialization
  • Platform: Coursera
  • Course URL: https://www.coursera.org/specializations/big-data
  • Instructed by: Ilkay Altintas, Amarnath Gupta and Mai Nguyen
  • Price: $49 per month with Coursera subscription
  • Skill level: Beginner
Why this course?  Taught by San Diego Supercomputer Center experts, involves hands-on activities, and you’ll get a comprehensive knowledge of the entire Big Data industry so you can go on to choose a specialization in data analytics, science, engineering, etc.

12. ARTIFICIAL INTELLIGENCE

AI is rapidly changing the landscape of work, making it an exciting time for programmers looking for something new.
There is crossover with machine learning here, but the key difference is that AI is a broader concept pertaining to machines designed to act intelligently like humans, whereas machine learning relies on devices making sense of a specific set of data.
In 2018, 31% of businesses said implementing AI was on their agenda for the next 12 months. Their top use cases are incorporating AI in data analysis and user experience.
Quick facts about artificial intelligence as a career:
What the course covers:Learn how to make VR and AR apps with 3D game development and C# programming.
Course facts:
Why this course?  No prior experience of Unity or coding required. Learn how to strategically move into a career in the VR/AR field.

14. QUANTUM COMPUTING

If you’re okay with a little uncertainty in your career (and you enjoy science fiction), quantum computing is a field to consider. “The industry has a ways to go,” writes Sophia Chen. “They have a timeline, sort of, give or take a few decades. And at the moment, their roadmap has at least one glaring pothole: a lack of trained people.”
However, this provides an opportunity for you to help move the needle forward. Jeremy O’Brien, physicist and professorial research fellow at the University of Bristol, says that quantum computers could outperform everyday computers in less than 10 years.
Quick facts about quantum computing as a career:
  • Average salary: $73,980
  • Current quantum computing roles include software engineers, researchers, experimental scientists, and programmers.
  • You can contribute to Qiskit Terra and Qiskit Aqua code and algorithms to start getting involved with quantum computing and get noticed by hiring managers.
What the course covers: Mathematical models of quantum computing, quantum algorithms, and more.
Course facts:
  • Course Name: The Introduction to Quantum Computing
  • Platform: Coursera
  • Course URL: https://www.coursera.org/learn/quantum-computing-algorithms
  • Instructed by: Сысоев Сергей Сергеевич
  • Price: $49 per month with Coursera subscription
  • Skill level: Intermediate (requires knowledge of complex numbers and linear algebra)
Why this course?  “We will build a simple working quantum computer with our bare hands, and we will consider some algorithms designed for bigger quantum computers which are not yet developed.”
Any of these profitable technical skills will set you well on your way to a successful new tech career in 2019 and beyond. Now it just comes down to which is best suited for your personality and interests–and that one's up to you :)

That's you for today 
Thank you so much for reading this blog.



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