Information technology is a field that is very appealing to students and workers seeking profitable and fulfilling careers. An IT career can not only provide excellent opportunities for steady employment but also provide chances for professional growth. However, there are a few qualities every professional aspiring for a career in IT should have. They should be problem-solvers, enjoy working with computers, and capable of collaborating with a team.

Many people think that an IT career means working in a large glass building in a large city. However, that is not the case. Every sector of an industry requires an IT department that can assist with technical IT-related problems. IT skills have been gaining much popularity in the healthcare sector, governmental and administrative sectors, financial and banking organizations, and educational institutes. With a career in IT, you can choose to work remotely from another part of the world and still be on top of work challenges.

Another important benefit of working in IT is the diversity in career paths. An IT professional can work on cloud computing, data science, cybersecurity, computer support, or other areas. Each area of expertise focuses on specific operations that can help businesses operate quicker and more efficiently.

To help you choose which IT career path would be the best fit for you, we have listed down different potential IT career paths that you can acquire knowledge and education for online:

Different IT Career Paths and How to Select the Perfect One for You

Cybersecurity

An IT career in cybersecurity means that you will be responsible for safeguarding important information on different computer systems and devices and protecting data from malware, damage, malware, and data breaches. Cybersecurity professionals are in high demand in the IT industry, and even starting positions in the market pay handsomely. The projected growth and demand for professionals in the coming years are expected to increase by 31%. As a beginner, you can opt for jobs as a cybersecurity analyst, information security analyst, or a cybersecurity engineer. With more experience in the field, you can also become an ethical hacker for large companies or a senior cybersecurity engineer.

Full Stack Development

Full Stack Development is another great IT career path to choose for beginners. As a Full Stack developer, you will be responsible for both the front and backend of a web application or website. A Full Stack developer works with CSS, HTML, JavaScript, and other backend languages. The reason why the term “Full Stack” is used for these professionals is that they have the complete skill set to build web pages, web applications, and websites from start to end.

Full-stack developers can communicate with both backend and front-end developers, which allows companies to save time and resources. A career path in Full Stack development begins with learning front-end development and learning backend development afterward.

Software Development

Software development is among the most popular IT career paths you can choose. You can create various programs and accomplish any software-related tasks as a software developer. You can change and alter your program code to access your internet browser, stream music services, or interconnect online video calling. The field of software development is quite vast and can include a variety of industries such as game development, tech, finance, etc.

Since a software developer is responsible for many job duties at the workplace, they are compensated handsomely for their contribution. The projected demand for software developers is expected to rise by 22%. You can start a career in software development as a software engineer, software developer, or software quality assurance professional. You can begin your journey by studying the basics of programming languages such as Ruby, Java, and Python.

Cloud Computing

Cloud computing is another popular IT career that has been expected to see the most growth in the coming years. Cloud computing is a field that involves the implementation of cloud-based solutions for data retrieval and storage. Cloud computing professionals build tailored cloud systems for businesses, upgrade existing cloud systems, and manage problems and bugs. A cloud computing professional usually utilizes AWS, Azure, or Google Cloud platforms. As a beginner in the industry, you can avail employment opportunities as a cloud computing programmer or a cloud engineer. A more experienced professional in the industry can work as a cloud architect or cloud consultant.

Data

With ever-present data collection taking place on the internet from different devices, companies have access to key data about their operations, services, and customers. Using this data for their services, business growth, and customer satisfaction, is of the utmost importance to companies worldwide. The rising demand for data skills and data science professionals makes this IT career path one of the most highly-paying and in-demand IT careers of all. A person with some background knowledge about IT support can begin working in data easily. As a data professional, you will be able to work with hardware as a data technician or look for trends or behavior patterns as a data scientist or data analyst.

DevOps

DevOps is an exciting field for people who like to solve complicated problems. It is the perfect job for people who enjoy the process of creating a product more than the finished product itself. DevOps engineers are able to break down complex problems that can be easily resolved and can assist companies in maximizing their productivity through automation. A career in DevOps is not only highly engaging for people who like a challenge but also pays high wages. DevOps can be a great choice to consider if you are looking for a strong, impactful and highly engaging career in IT. It has tremendous growth potential in the coming years and can also allow the flexibility to work remotely from anywhere in the world.

Take Your First Step Towards a Career in IT

Resolve6 Software Solutions is an excellent platform for beginners looking to kickstart a career in IT. Our training courses allow you to develop skills in data science, software QA testing, Full Stack development, DevOps (AWS), and cybersecurity. At the end of your training, you can land a lucrative job with your freshly developed IT skills. Resolve6 promotes IT professionals throughout the process and can help with job placement and on-job support as well.

Build Your Career in Data Sciences With Machine Learning

 

We live in the age of information, and when it comes to technology, we are moving at an unimaginable speed. You must be familiar with the terms ‘Data Science‘ and ‘Machine Learning‘ as they have become the popular buzzwords today. These terms are usually used together, but they are not the same. They play different roles in different scenarios. However, data science does include machine learning as it is a vast field with various tools. 

Before we get started, let’s brush up on your knowledge about data science and machine learning. 

Data Science– a field of study that uses a scientific approach to extract insights from data. It is also known as a combination of information technology, modeling, and business management. Many Universities have realized the importance of the data science field and are creating online data science graduate programs to help people gain more insights into the field.

On the other side, Machine learning is a well-known subfield of artificial intelligence (AI). Its sole purpose is to understand the structure of data and fit that data into various models that people can understand better and utilize. Machine learning plays a huge role in facilitating computers in building models from the sample data to automate the decision-making process.

 

Reasons to learn Data Science and Machine Learning 

 

• Big Data: Virtually almost every organization has it and wants to figure out how to use it to help the businesses grow. To succeed in data sciences, knowing how to make sense out of big data is not enough. You need to understand the data to unravel the hidden solutions in the data and take up the business challenges and goals. 
• Multiple job designations: There are ample opportunities for the roles like Data scientist, Metrics and Analytics Specialist, Data Analyst, Big Data Engineer, Data Analytics Consultant, and more. 
• Business Optimization: Manage your data science project efficiently and deliver real value to your business by having a good overview of data science. You can prevent your customers from churning out by analyzing their behavior and provide them exactly what they are looking for. This helps you increase the engagement with the customer. 
• Easy Job Hunting: If you are looking to take your career to the next level, machine learning helps you to do so. Organizations started to acknowledge the importance of data science; they are looking for an individual who will help them. The demand for a data scientist is on the rise, whereas the supply remains low. Therefore, grab the opportunities that come your way.  
• Increasing Pay: Nowadays, the best machine learning engineers are being paid as high as popular personalities. As the demand for Data science analysts is high and the supply is low, this factor makes the data analytics profession a big bonus in terms of money. 

 

Why is python so popular for Data Sciences and Machine Learning

 

Python is known for being one of the world’s most popular programming languages. Here is why it is so popular:

• Python’s Syntax- It is used to make a computer program work known to be simple and intuitive. 
• Python Integration– It integrates well with other software components that make it a general language that can be used to build a complete end-to-end pipeline. 
• Python Supports Different Paradigms– It works as an object-oriented programming language wherein everything you create is classified as an object. Different objects consist of various properties, and you can operate them in other different ways. 

 

Learning Data Sciences and Machine Learning at Resolve6 

 

Usually, there is a misconception with the term Data sciences as it is generally associated with small-scale tasks. But what you need to know is that it’s not easy to become a data scientist. You must have a passion, interest to play with data, and excitement in making the numbers and alphabets talk. This field requires a plethora of skills that one needs to master.  

Resolve6 is one of the best platforms that offer Data Sciences Training and Machine Learning Training Courses. Once you receive a certification for the course, there is no looking back. You will develop an interest in the data sciences and its unexplored areas. The course will help you build your career and accomplish your goals. 

Ten key learning areas of Data Sciences Training 

• Data Engineering
• Data Mining 
• Cloud Computing 
• Database Management
• Business Intelligence 
• Machine Learning 
• Deep Learning 
• Natural Language Processing 
• Data Visualization 
• Domain Expertise 

To know in detail about these key learning areas, enroll in Resolve6 Data Science Training and Machine Learning Training Course right away!

 

Role of Data Sciences and Machine Learning 

 

Machine Learning (ML) and Artificial Intelligence (AI) are experiencing massive growth as companies constantly look for fast, innovative, cost-efficient ways to deal with big data. 

The companies’ teams need to stay up to date with the latest trends in data science. Data science and machine learning also help businesses make use of advanced tools and technologies. It helps automate complicated business processes that are linked with extracting, analyzing, and presenting the data. 

With such high demand in the Data Science field, a machine learning training course would be a great benefit for your growth. 

 

How are Data Sciences and Machine Learning currently used in Enterprise Applications?

 

Data Sciences and Machine Learning have earned their spots in the enterprise applications as they provide internal support to the businesses by offering automated solutions. The combination of algorithm computation, data inference, analysis, and technology plays a crucial role in solving complex business problems. 

Large scale enterprises use Data Sciences and Machine Learning due to the following reasons: 

1. Gain Customer Insights 
2. Increased Security 
3. Improved Internal Finances 
4. Streamline Manufacturing 
5. Predicting Future Market Trends

 

Career advancement with Data Sciences and Machine Learning Training 

 

Data sciences and machine learning are among the many continuously developing fields. As and when you work with machine learning, you must consider its methodologies and analyze the machine learning process’s impact. 

Data science covers a large spectrum of domains that contain Artificial Intelligence, Machine Learning, Apache Hadoop, Python, and Deep Learning. This might be the right time to enroll in a Data Science Training Course that would help you elevate your career path. 

The data science field demands a continuous learning mindset to succeed. Here is when you will look back and feel proud of yourself for joining Data Sciences Training.

 

Scope of jobs for Data Scientists, Machine Learning and AI Developers

 

Now that you are clear with data scientists’ roles and responsibilities, you must be wondering about the scope of jobs. You need not worry about that as there is a massive demand for data scientists in the market. Artificial intelligence and machine learning are known to be integral parts of data science as they help with insight generation. 

Data scientists and machine learning engineers are among the most in-demand jobs in artificial intelligence. Machine learning engineers come with strong software knowledge that helps with the growth of the company. 

If you are an AI aspirant, you must consider becoming a machine learning engineer. In the near future, data science is expected to dominate in every other industry, not only in computer science but also in healthcare, the public sector, etc. 

 

How much do Data Scientists get paid? 

 

According to a study done by the U.S Bureau of Labor Statistics, the average salary for a data scientist is $100,560. 

 

Is Data Scientist a popular job opening? 

 

Harvard Business Review chose ‘data scientist’ as the sexiest job in the 21st century in 2012. 

Data scientists have been one of the popular jobs in the last few years. However, now data engineering is giving a tough competition to data scientists. While few of their activities do overlap, data engineers deal primarily with moving and transforming data into the data science team’s pipelines to take it forward. 

Data Engineers: Three Critical Tasks 

Design- Build- Arrange Data Pipelines

Data Scientists: Four Critical Tasks 

Analyze- Test- Aggregate- Optimize data 

Data Sciences Training will help you opt for your desired job role. Why Wait longer? Join today! 

 

Salary Ranges you can expect as a Data Scientist 

 

According to PayScale, an entry-level Data Scientist having less than 1 year of experience can expect an average total compensation of $85,291. An early career data scientist with 1-4 years of experience can expect an average of $95,275. However, a Data Scientist having more than 10 years of experience can expect $122,391. 

Your salary will be purely based on your skillset and how they are relevant to the field you are working in. Build your career with Resolve6 Data Sciences and Machine Learning Training Course and gain as many certifications as possible to witness constant growth in your career.