1. Data Scientist

Data scientists are responsible for collecting, analyzing, and interpreting large amounts of data. They use their skills to help businesses make better decisions, improve their products and services, and identify new opportunities.

Data scientists are essential for businesses that want to make better decisions based on data. They can help businesses to identify new opportunities, improve their products and services, and reduce costs. Data scientists are also in high demand in industries such as healthcare, finance, and retail.

Essential skills:

• Programming languages: Python, R, SQL
• Machine learning
• Statistics
• Data visualization

Best places to learn:

• Coursera
• EdX
• Udacity
• Udemy
• Khan Academy

Here’s a possible learning path for the skills needed to become an expert in Data Science. Remember, you could land an entry level job with only a few of these skills so don’t let this discourage you.

• Foundational skills:
  • Learn the basics of programming languages like Python, R, and SQL.
  • Take courses on machine learning, statistics, and data visualization.
  • Build a portfolio of data science projects.
• Intermediate skills:
  • Gain experience with big data technologies like Hadoop and Spark.
  • Learn about different machine learning algorithms and how to choose the right one for the problem.
  • Work on projects that involve natural language processing or computer vision.
• Advanced skills:
  • Become an expert in a particular area of data science, such as healthcare or finance.
  • Develop your own machine learning algorithms.
  • Publish your research in academic journals.

2. Data Engineer

Data engineers are responsible for building and maintaining the systems that collect, store, and process data. They work with data scientists to ensure that data is accessible and usable for analysis.

Data engineers play a vital role in ensuring that data is accessible and usable for data scientists and other analysts. Data engineers are also in high demand in industries such as healthcare, finance, and retail.

Essential skills:

• Programming languages: Python, Java, Scala
• Cloud computing (AWS, Azure, Google Cloud Platform)
• Data warehousing
• Data pipelines

Best places to learn:

• Coursera
• EdX
• Udacity
• Udemy
• Cloud Academy

Here’s a possible learning path for the skills needed to become an expert in Data Engineer. Remember, you could land an entry level job with only a few of these skills so don’t let this discourage you.

• Foundational skills:
  • Learn the basics of programming languages like Python, Java, and Scala.
  • Take courses on cloud computing, data warehousing, and data pipelines.
  • Build a portfolio of data engineering projects.
• Intermediate skills:
  • Gain experience with big data technologies like Hadoop and Spark.
  • Learn about different data warehousing architectures.
  • Work on projects that involve data integration and data quality.
• Advanced skills:
  • Become an expert in a particular data engineering technology, such as Hadoop or Spark.
  • Develop your own data pipelines.
  • Publish your research in academic journals.

3. DevOps Engineer

DevOps engineers are responsible for bridging the gap between development and operations teams. They work to automate and streamline the software development process, from development to deployment to maintenance and to ensure that software is delivered quickly and reliably. DevOps engineers are in high demand in all industries that rely on software development.

Essential skills:

• Programming languages: Python, Java, Go
• Cloud computing (AWS, Azure, Google Cloud Platform)
• Agile development
• Continuous integration and continuous delivery (CI/CD)

Best places to learn:

• Cloud Academy
• Linux Academy
• A Cloud Guru
• Udemy
• Pluralsight

Here’s a possible learning path for the skills needed to become an expert in DevOps Engineering. Remember, you could land an entry level job with only a few of these skills so don’t let this discourage you.

• Foundational skills:
  • Learn the basics of programming languages like Python, Java, and Go.
  • Take courses on cloud computing, agile development, and continuous integration and continuous delivery (CI/CD).
  • Build a portfolio of DevOps projects.
• Intermediate skills:
  • Gain experience with cloud computing platforms like AWS, Azure, and Google Cloud Platform.
  • Learn about different agile development methodologies.
  • Work on projects that involve automating the software development process.
• Advanced skills:
  • Become an expert in a particular DevOps technology, such as Kubernetes or Ansible.
  • Develop your own CI/CD pipelines.
  • Publish your research in academic journals.

4. Full-Stack Developer

Full-stack developers are responsible for the entire development lifecycle of a software application. Full-stack developers are in high demand because they can work on both the front-end and back-end of a software application. This means that they can develop the user interface, as well as the database and server-side logic. Full-stack developers are essential for businesses that need to develop and maintain web applications and mobile apps.

Essential skills:

• Programming languages: JavaScript, Python, Java
• Front-end frameworks: React, Angular, Vue.js
• Back-end frameworks: Django, Spring Boot, Rails

Best places to learn:

• Free Code Camp
• The Odin Project
• Codecademy
• Udemy
• Pluralsight

Here’s a possible learning path for the skills needed to become an expert Full-Stack Developer. Remember, you could land an entry level job with only a few of these skills so don’t let this discourage you.

• Foundational skills:
  • Learn the basics of programming languages like JavaScript, Python, and Java.
  • Take courses on front-end frameworks like React, Angular, and Vue.js.
  • Take courses on back-end frameworks like Django, Spring Boot, and Rails.
  • Build a portfolio of full-stack development projects.
• Intermediate skills:
  • Gain experience with different front-end and back-end technologies.
  • Learn about different testing methodologies.
  • Work on projects that involve user experience design.
• Advanced skills:
  • Become an expert in a particular front-end or back-end technology.
  • Develop your own full-stack applications.
  • Publish your research in academic journals.

5. Cloud Engineer

Cloud engineers are responsible for designing, deploying, and managing applications on cloud computing platforms. They work with businesses to choose the right cloud platform and services for their needs.

Cloud engineers play a vital role in helping businesses to take advantage of the benefits of cloud computing, such as scalability, flexibility, and cost savings. Cloud engineers are in high demand in all industries that are using cloud computing.

Essential skills:

• Cloud computing (AWS, Azure, Google Cloud Platform)
• Infrastructure as code (IaC)
• Orchestration tools (Terraform, Ansible, Chef)
• Monitoring and logging

Best places to learn:

• AWS Academy
• Microsoft Learn
• Google Cloud Platform Training
• Udemy
• Pluralsight

Here’s a possible learning path for the skills needed to become an expert in Cloud Engineering. Remember, you could land an entry level job with only a few of these skills so don’t let this discourage you.

• Foundational skills:
  • Learn the basics of cloud computing, such as AWS, Azure, and Google Cloud Platform.
  • Take courses on infrastructure as code (IaC) and orchestration tools.
  • Build a portfolio of cloud engineering projects.
• Intermediate skills:
  • Gain experience with different cloud computing platforms and services.
  • Learn about different IaC and orchestration tools.
  • Work on projects that involve deploying and managing applications on the cloud.
• Advanced skills:
  • Become an expert in a particular cloud computing platform or service.
  • Develop your own IaC or orchestration tools.
  • Publish your research in academic journals.

6. Cybersecurity Engineer

Cybersecurity engineers are responsible for protecting computer systems and networks from cyberattacks. They work to identify and mitigate security risks, and develop and implement security solutions. They play a vital role in helping businesses to protect their data and assets from theft, damage, and disruption. Cybersecurity engineers are in high demand in all industries that are vulnerable to cyberattacks.

Essential skills:

• Programming languages: Python, Java, C/C++
• Networking
• Cryptography
• Security analysis
• Incident response

Best places to learn:

• SANS Institute
• The Cyber Security Institute
• Offensive Security
• Udemy
• Pluralsight

Here’s a possible learning path for the skills needed to become an expert in Cybersecurity Engineering. Remember, you could land an entry level job with only a few of these skills so don’t let this discourage you.

• Foundational skills:
  • Learn the basics of programming languages like Python, Java, and C/C++.
  • Take courses on networking, cryptography, and security analysis.
  • Build a portfolio of cybersecurity projects.
• Intermediate skills:
  • Gain experience with different security technologies, such as firewalls, intrusion detection systems, and vulnerability scanners.
  • Learn about different security frameworks, such as the CIS Controls and the NIST Cybersecurity Framework.
  • Work on projects that involve incident response and threat hunting.
• Advanced skills:
  • Become an expert in a particular security technology.
  • Develop your own security tools and solutions.
  • Publish your research in academic journals.

These are just a few of the many in demand IT jobs. The skills and technologies that are essential for these jobs are constantly evolving, so it is important to stay up-to-date on the latest trends. The best way to do this is to take online courses, attend conferences, and read industry publications.