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Jobs In Data Science Industry
The data science sector is expanding quickly. Software, big data, and technology are developing daily, and there is a pressing need for more skilled professionals to meet this demand.
The data science sector is expanding quickly. Software, big data, and technology are developing daily, and there is a pressing need for more skilled professionals to meet this demand. According to US News and World Report, information security analysts, software engineers, data scientists, and statisticians were among the top 10 (out of 100) jobs in 2022.
The US Department of Labor Statistics forecasts a 36 percent increase in data scientists between 2021 and 2031. Jobs for data analysts are expected to increase by 23%.
Jobs in Data Science typically pay highly due to the high demand and technical skill set its demands. There are many opportunities to find your specialisation because data science influences almost every sector, including technology, retail, and health care. If this interests you, you can think about majoring in statistics, math, programming, coding, or software development
Upskilling in Data Science training programmes is integral to becoming an expert. Leading data science certification courses like the ones at Skill-Lync will introduce you to the current trends and recognized industry practices. These will help aspiring professionals thoroughly understand data analytics, data science, machine learning, programming, and deep learning. To equip you with the abilities required to succeed in the field, you will work extensively with software tools, including Python, Power BI, Tableau, and Anaconda, as a part of these data science courses.
In the era of upskilling, a mere college degree in STEM would not suffice. Although 4-5 years of a college education has its perks, the rate at which technologies evolve in the digital age makes it impossible for college curricula to be up-to-date with new-age tech. Therefore skill-building through job-oriented programmes has become the new rage among engineering students.
Moreover, hiring managers prioritize candidates with skill-based expertise for various job roles.
Regarding Data Science, prospective employers are eager to hire applicants who have completed at least one type of Data Science online training. Data Science courses can include online or offline training programmes from academic institutions or edtech firms.
Below are the three popular types of Data Science courses which any aspirant could consider for upskilling:
The formal degree programmes in Data Science are available to students seeking academic recognition. Some of the Indian colleges that offer Data Science training in their curriculum are Amity University, VIT-Vellore, SRM University, Amrita University, Manipal University, Chitkara University, IIT-Kharagpur, IIT-Delhi etc.
Data Science courses offered by EdTech companies like Skill-Lync are sought by students and professionals interested in starting their careers in new-age technologies. One of Skill-Lync’s advanced data science and analytics courses is the Post Graduate Program in Data Analytics and Data Science.
Learners can build skills recognised by the esteemed National Skill Development Council through this Data Science Analysis certification.
India's engineering talent base is steering the country's destiny in the electric vehicle industry. Should they wish to pursue training in embedded systems, many engineering students and professionals might not have access to the right academic possibilities. They might benefit greatly from taking part in industrial co-ops and internships at tech companies.
Internship opportunities are excellent for young engineers wishing to expand their expertise in Data Science. If finding the best internships online seems difficult, enrolling in hands-on data science certification courses from edtech businesses like Skill-Lync is advised. Several electric vehicle courses on Skill-Lync allow students to intern.
Skill-Lync’s Data Science training programs are designed to train engineers with cutting-edge Data Analytics and Science skills. For instance, the Post Graduate Program in Data Analytics and Data Science covers these four key concepts in its training modules:
In this SQL for Data Science course, learners can understand the handling and working of relational databases. It also explores how data can be efficiently retrieved, altered, saved, and extracted using SQL. This SQL certification courses offer multiple assignments and projects in its curriculum to help students develop mastery.
Completing this SQL course will make you job-ready for the following roles:
In this Business Analytics Fundamentals course, learners will understand the scope and duties of a business analyst, project management methodologies like Waterfall and Agile and project planning with JIRA. Moreover, the Business analyst course covers concepts like a flow chart, Draw.io, Service Models like IaaS, PaaS, SaaS, and Deployment Models like Public, Private, Hybrid Cloud, and Virtualization through interesting projects.
Completing this Business Analyst Online course will make you job-ready for the following roles:
This is one of those few data science Python training programs ideal for deep learning enthusiasts. The deep learning certification course explores how AI and deep learning are used to make intelligent machines. The deep learning course will also cover structured and various deep learning patterns using data and complex algorithms that play a major role in automation.
Completing this Deep Learning Online course will make you job-ready for the following roles:
This online cybersecurity course teaches the fundamental foundations of cybersecurity, different kinds of cyber threats, and various preventive measures. It also covers how Security Operations Center (SOC) Teams work in the industry and provides a hands-on learning experience through interesting projects.
Completing this cybersecurity course will make you job-ready for the following roles:
The cost of Data Science courses at Skill-Lync varies depending on the curriculum and program duration.
The fee structure of this advanced Data Science certification course has been divided into three different categories: basic, pro, and premium.
It’s ideal for aspiring professionals who want to pursue a lucrative and rewarding career in the industry. Through one Data Science training program, they can get ready for the following jobs:
Learners who are committed to continual learning can pursue their higher studies in the following programs after this Data Science certification course: