Education and Career News / Trends from around the World — January 30th, 2021

6 min read

Curated by the Knowledge Team of ICS Career GPS


Education

(Image Credit: Freepik)

Most sought after courses in 2021 amidst COVID-19

Excerpts from article published in India Today

It’s that time of the year when students are concerned about making the most crucial decision of their lives, while parents are even more concerned about their child’s journey ahead. Career options after 12th have just taken a new turn in this pandemic time.

To help you in this seemingly daunting decision-making process, we bring to you 5 unique course options that you can pursue after Class 12th. Not only are these options unique but also in demand and lucrative:

1. Data Science

Data exists in every form, be it the purchases you make at an online store, or the type of accounts you follow on Instagram. Data is pervasive. This is valuable for organisations as it helps them understand patterns and trends and make business decisions according to the inferences drawn from the data. Data Scientists, Big Data Engineers, Data Analysts, Data Managers are required to make sense of this data and find patterns in it to enable decision-making. If playing with numbers is your passion, this just might be the perfect career for you.

2. Information Security

As data systems are becoming ubiquitous, the security of data has been a major concern for the simplest of reasons. Several organisations manage large stores of information, becoming easy targets for high-tech criminals. As Machine Learning and Predictive Modeling demonstrate their returns on investment, several businesses will require the skills of a competent Information Security Analysts. The particulars of the job may vary depending on the industry, but an Information Security Analyst is often on standby in case of data breaches, hacking or other emergencies related to the security of technology assets.

3. DevOps Engineering

DevOps Engineering bridges the gap between software development and IT operations. It aims to develop an agile relationship between the two so that organisations can create and release regular updates to their products much quicker than using the more traditional ‘waterfall’ development model. Thus, DevOps engineers sit in between development and deployment, making sure that everything is geared towards releasing updates as efficiently as possible.

4. Digital Marketing 

Digital marketing ensures that the leads generated meet the firmographic requirements necessary to elicit a sales call. This has become ever so important in today’s digital world. It ensures a good lead flow process, and even though marketing has rapidly progressed in terms of obtaining the information pertinent for salespeople to fill out a contact profile, online behaviour is rarely a 100 percent indicator of interest.

5. Robotic Process Automation

Robotic process automation (RPA) is generating a lot of interest and hiring activity because of its potential for automating and integrating processes without the need for a big-budget IT project. As distinct from Business Process Management technology, which tends to be used to redesign processes, RPA is typically used to automate a process as it exists today while subtracting time and labour from them.


Career

(Image Credit: Freepik)

Data Science as a career option

Excerpts from article published by India Education Diary Bureau Admin

The world is moving at a brisk pace. Several technologies have become obsolete, while the technologies that looked impossible a few years back are at our fingertips now. Hence, it has become pertinent for young professionals to learn the skills that drive future technologies. Data Science is one such promising field.

In recent years, millions of professionals have secured their future by choosing Data Science as a career. You can enter this career by completing a degree or a course in Data Science. You can easily find a reliable Data Science course – both online and in top tech cities.

Let’s take a deeper look at this field. 

Who is a Data Scientist?

The world economy is leaning more towards analytics, with companies collecting data for many years. According to LinkedIn, there is an enormous demand for professionals who can mine and interpret data. These are the Data Scientists.

Data scientists are a mix of mathematicians, trend-spotters, and computer scientists. The data scientist’s role is to decode large volumes of data and analyse it further to find trends in the data and gain an insight into what the data suggests. Data scientists work between the business and the IT worlds. They drive markets by analysing complex datasets to reveal insights that companies can leverage into actions.

Skills Required

If you want to have a career in data science, you will need hard skills like analysis, machine learning, statistics, Hadoop, etc. Excelling in this role requires excelling at critical thinking, persuasive communication, and having good listening and problem-solving skills. Opportunities are aplenty in this field. So, once you have the skill-sets and qualifications, the jobs are waiting for you—now and in the future.

Job Roles for these experts

Most companies are embracing data analysis to skyrocket their growth. Data Scientists are in demand not just in the tech world but also in all other major sectors, including FMCG, logistics, and more. The big-five tech giants: Google, Amazon, Apple, Microsoft, and Facebook, employ half of the world’s total data scientists. 

Here, we discuss the lucrative Data Science careers for the aspirants:

Data Scientists:

A Data Scientist explores and scrutinizes various data patterns to estimate the impact on an organisation. A Data Scientist’s role is to explain the importance of data in a simple method so that others can understand it. They require statistical knowledge of different programming languages for solving complex problems. 

Data Analyst:

A Data Analyst’s role is to analyse the data to figure out a market trend. They provide a clear picture of the company’s standing in the market. The company sets the desired goal, and then the Data Analyst provides datasets to achieve the required target. The Data Analyst’s role changes according to the company’s needs.

Data Engineer:

Data Engineers work with the organisation’s core and are the company’s backbone. They are the builders, designers and managers of large databases. Their task is to build data pipelines, correct data flow, and ensure the data reaches the relevant departments. In a nutshell, a data engineer shares his insights with the company through data visualisation and helps the organisation grow. 

Business Intelligence Analyst:

A business intelligence analyst analyses the collected data to maximise the company’s efficiency. They have a more technical role than analytical and require knowledge of popular machines. They are the bridge between business and IT. 

Marketing Analyst:

A marketing analyst assists companies in their marketing division. They analyse and suggest which products to produce and which products to discontinue. They monitor customer satisfaction reports to help the company in improving existing products and services.


(Disclaimer: The opinions expressed in the article mentioned above are those of the author(s). They do not purport to reflect the opinions or views of ICS Career GPS or its staff.)

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