TNN | Posted on Wednesday, August 10,2022 19:17
Out of the host of programming languages, 90% of Data Science professionals use Python as their choice for Statistical Modeling, a recent survey revealed. Beyond that, SQL and R are preferred by 52.8% and 38.3% of the respondents respectively. The use of SQL (68.4%) is highest in Retail, CPG, and eCommerce, followed by IT at 62.9%. R is the most commonly used programming language in the Pharma and Healthcare sector, with three in five (60.0%) professionals claiming they use it for statistical modelling.
The survey was released by Great Learning, a BYJU’S group company. The Data Science Skills Survey 2022 was undertaken to find out different tools, technologies, and skills across categories that are imperative for students and professionals and for an advanced career in the Data Science domain.
Methodology
The report has been developed after primary research through a survey conducted amongst Data Scientists and leading AI/ML practitioners. This was complemented by direct discussions with job-seekers to understand and gauge their perspective on the in-demand skills in this domain. The participants were also interviewed on the critical skills expected by recruiters from professionals of all experience levels while hiring.
Most preferred skills by recruiters
Around 84.4% of professionals mentioned that recruiters look for Machine Learning as the most crucial skill when hiring a Data Scientist, followed by Statistics at 78.9%. Nearly 2 out of 3 professionals with 0-3 years of experience said recruiters consider data visualisation as a must-have skill. This number reduces for respondents with more years of experience.
Continuous learning a necessity
As Data Science proves to be a critical proficiency to ensure the company’s development, 98.6% of respondents agree with the need for continuous upskilling in the field. Around 3 in 4 Data Science professionals with less than three years of work experience engage in upskilling weekly, while more than 50% professionals in the 3-6 years bracket upskill weekly. Professionals with 6-10 years of experience prefer to upgrade their skills quarterly.
Data Scientists upskilling in Cloud, MLOps and Transformers to stay relevant
More than 3 out of 5 (61.7%) Data Scientists believe upgrading skills in Cloud Technologies is crucial followed by Machine Learning Operations (MLOps) (56.1%) and Transformers (55.0%) to remain relevant to the industry’s current needs. Nearly 3 in 4 professionals with 10+ years of experience are learning MLOps to upgrade their skill sets. Mid-career professionals with 3-6 years of experience are learning Cloud Technologies (71.7%) as a core new skill, followed by MLOps (62.3%), Transformers (60.4%), and others. Sector-wise, professionals in Retail, CPG, and eCommerce are more inclined to learn Cloud Technologies (73.7%) as a new skill. 70.0% of professionals working in BFSI upskill in MLOps. Another 70% and 60% of professionals in Pharma & Health Sector sector are interested in learning Transformer and Computer Vision as core skills.
Basic skills to make a career in Data Science
As per the survey, 9 out of 10 Data Science professionals mentioned that knowledge of programming language (R, Python, SAS) is among the most basic skills to start a career in Data Science. This is followed by knowledge of statistics (80.6% of respondents) and basic ML (75.6% of respondents). More than 3 in 4 professionals claimed that basic Machine Learning understanding is a must-have skill for a career in Data Science and is indicative of how far we have come in the field.
Top Data Visualisation Tools
Despite all the technological advancements in Data Science, the use of MS Excel remains high with 2 in 3 (63.3%) professionals using it regularly. This is followed by Tableau (56.7%), Power BI (43.9%), and QlikView (12.2%). When it comes to experience levels, MS Excel (84.6%) is mostly used by professionals with more than 10 years of experience. Tableau is the preferred choice for mid-senior career Data Scientists with 6-10 years of experience. Sector-wise, Tableau is the most popular tool in Pharma & Healthcare, and IT. Apart from that, MS Excel remains the highest used tool for data visualisation in all the other sectors surveyed.
Recently, Great Learning also published the Upskilling Financial Impact report that highlights the gap in salaries of a professional who upskills and who does not.
The competition saw four Army Public Schools in the Delhi/NCR region compete for the AWWA rolling trophy
The universities will be responsible for the quality assessment of Phd degrees for which they can in
The value of the scholarship will be advised based on predicted grades or on meeting the offer conditions
The courses that have received approval include BA (Hons) in Business Economics, BA (Hons) Multi-Med
Disclamer: www.EducationTimes.com does not vouch for, nor is responsible for any claims made by the counsellors in this column. In the event the claims made are not honoured by the counsellor, this newspaper and publishing house including the owners, editors and all employees will not be liable in any manner whatsoever. The reader may satisfy himself/ herself by due inquiry or otherwise, before acting upon or making any commitment on these claims.All information are true and correct. The e-mail ID and mobile number are my personal contact information. I allow BCCL and any third party authorized by BCCL to send me SMS, other communications, promotional content or material necessary for the service.
The entrance exam will be conducted on August 28, 2022 …
HEIs will be allowed to give 25% supernumerary seats to international students in both UG and PG programmes …
Compartment examination is scheduled to be held in paper-pen mode from August 23 onwards …
Seeking counselling at the desired time is helpful as it provides solutions to the existing problems, writes psychologis …
Copyright 2017 © Bennett Coleman & Co. Ltd. All rights reserved.