Today, a career in Data Science is getting popular. According to a recent report by the U.S. Bureau of Labour Statistics 11.5 million new jobs will be created by 2026 in the field of Data Science. India only will have 137,630 data science job vacancies by 2025 as per a report by Analytics Insight.
Data Science is multidisciplinary. It combines computer programming, mathematics, and statistics, as well as business knowledge. As a field of specialization Data Science is relatively new, this discipline has effectively evolved and has a large number of procedures and tools associated with it.
Data Scientists will be in great demand in the near future as the world is going through substantial technological changes as a result of industry 4.0. The technology disruptions have aided in the development of smart factories and work environments which result in a large volume of data that must be appropriately managed.
To build a career in this industry with so enormous potential, all you need is the appropriate mindset along with fundamental knowledge and skills.
You can enhance your knowledge by enrolling in online Data Science courses intended exclusively for aspiring Data Scientists. Major EdTech platforms like TalentSprint are providing tailor-made courses to help you align your skills to the industry needs. The Advanced Programme in Computational Data Science by TalentSprint is a carefully crafted training module that will assist you in developing these abilities and landing a job in Data Science.
Top 5 in-demand Data Science job roles
Data Science is sure to excite you if you’re passionate about analysis. However, it is critical to understand the most in-demand data science job titles on the market. Here are the top 5 job roles that are currently in-demand,
As a Data Analyst, you’ll be in charge of handling vast amounts of it and evaluating data using data analysis tools. A company’s decision-making will be based on the important insights you get from the data. One of the most common responsibilities of a data analyst is to compile reports of data analysis and deliver them to management.
To become a Data Analyst, you must have an aptitude for mathematics and logical reasoning. You should also be proficient in Python, Oracle, SQL.
A Data Scientist’s job is described as being more technical than that of a data analyst. As a Data Scientist, you’ll be responsible for data preparation duties such as data cleaning and organisation. You’ll also be in charge of sifting through massive amounts of data to find helpful patterns and trends.
To build a career as a Data Scientist, you must have skills such as analytical skills, data interpretation, problem-solving skills and mathematical skills.
Machine Learning Scientist
You will be responsible for researching and converting data science prototypes in this position. You’ll also execute statistical analysis and fine-tune models, based on test findings, as well as create and develop machine learning schemes.
To become a Machine Learning Scientist, you must-have machine learning skills, data science skills, problem-solving and time management.
Machine Learning Engineer
To create scalable solutions for businesses, machine learning engineers collaborate closely with machine learning scientists. Working in this field of artificial intelligence, you’ll be in charge of developing programmes and algorithms that allow robots to mimic human intelligence.
To become a Machine Learning Engineer, you must-have machine learning skills with strong statistical and programming skills.
As a Data Architect, you’ll be responsible for developing new database systems and utilising design analytics to improve the company’s interconnected data environment. The goal is to make data scientists’ lives easier by making data readily available and accessible.
To build a career as a Data Architect, you must have skills such as data management, programming, big data development and system analysis.
Here are a few must-have skills
To begin a career in Data Science, you’ll need a few fundamental Data Science skills. You should be well-versed in technology and programming languages. Python, R, SQL, Spark, Hadoop, Java, Tableau, AWS, SAS, Hive, Scala, C++, Excel, and Azure are the most popular Data Science technologies.
- Programing languages – Python, R
- Data Extraction and Processing
- Data Wrangling and exploration
- Data Visualization
- Big Data Processing Framework
- Hadoop platform
- SQL database
- Machine learning and AI
- Business strategy
Aside from technical expertise, a person must possess several nontechnical skills to be a good Data Scientist.
- Continuous learning
- Analytical mindset
- Creative problem-solving skills
- Business thinking
Those who want to pursue a career in data science should have all of the necessary skills and be willing to study regularly. There are programmes intended exclusively for freshers and young IT professionals who want to work as Data Scientists.
Also read: Here’s what you should know about the current skill development trends in the IT industry https://www.nationalskillsnetwork.in/heres-what-you-should-know-about-the-current-skill-development-trends-in-the-it-industry/
Not only for the industry but also your career, data science will be a game-changer. So, are you ready to build a career in the most in-demand technology?