A recent career report from Coursera analyzed data from their learners across countries. It has insights that can help clear the way for aspirants.
We all want to be a part of evolving career goals. However, we miss including some key points at our fingertips.
Finding a skills-based approach to jobs and adopting a multi-disciplinary approach to building those skills is the need of the hour. It’s time to time the clock skillfully.
What are the skills needed for high-demand jobs?
Data scientist and data analyst jobs:
With every company collecting more data than ever, the need for data scientists and data analysts is only expected to rise. The key job of the data scientist is to find the right insights from data that can drive better decisions.
The report found that data management skills are already strong among students who are signing up for these courses. But, there are added skills that students can master for better results. They can try improving their data visualization capabilities to well-present the insights and work on telling a data story, apart from building strength in foundational math, probability and statistics.
Similarly, for data analysts, in-demand tools such as Python and Tableau on Coursera turned out to be helpful for Coursera students.
N ew-age Engineering skills:
For a software engineer looking to enhance her/his skills, there is a need to focus on hands-on coding, build an understanding of data pipelines, get to know about systems engineering, data structures and operating systems apart from mastering programming languages
Meanwhile, for machine learning engineering, there is a need to learn computer and statistical programming apart from mastering machine learning, probability and statistics.
Marketing is a discipline that has undergone tremendous change. Good marketing is still about good storytelling. But the art and science of marketing have evolved now. If performance marketing and SEO and google adwords need to be managed on one side, the building of the narrative and the brand needs to happen on the other. Marketing specialists, Coursera reports, focus today therefore on building both communication skills and data analysis skills. Modern marketing rides on narratives and data-driven personalization.
Learning by doing:
To develop high-demand technical skills, learning alone is not enough. Practice, and that too, practicing on real-world problems becomes an important ingredient of mastering a skill. Looking across data from their guided projects in India Coursera reported the following guided projects as being the top ones:
- Introduction to Game Development using Scratch
- AWS S3 Basics
- Build a full website using WordPress
- Google Ads for Beginners
- Getting started with Azure DevOps Boards
- Create a resume and cover letter with google docs
- Machine learning pipelines with Azure ML Studio
- Develop a company website with WIX
- Getting started with Google Analytics
- Business Analysis and Process Management
With India expected to have one of the highest young and working age professionals globally, in the coming few years, this interconnection between skills and practical projects could help more people thrive in jobs.
From individual skills to multi-disciplinary skills:
Another key insight from the report is on multi-disciplinary pathways. These are becoming more critical when looking at the connections between skills and careers.
Needless to say, technology skills such as computer and statistical programming are being pursued by students across disciplines.
Also, engineering students are looking at building on other skills. Students of Math and Science are trying to focus on leadership skills and communication skills.
Those working to become teachers are prioritizing research, writing and communication skills. Arts and humanities students are learning digital skills like computer graphics, user experience etc too. These can help them enrich and evolve their career options such as teaching while understanding human behaviour better.
Biological science students are focusing on data analysis as are business students. The objective is to help them extract data patterns at scale. Health science students are looking for data science roles.
While the power of deep expertise in an individual area is often considered critical for success, given the complexity of jobs, there is a need to have multiple skills to address the problems. Polymaths might rejoice.
A skills taxonomy is one way in which these different skills can be mapped for a job.
Our key learning is a skills taxonomy. Not just for a job, but also to invest in a personal skills taxonomy that can help each of us build interconnected skills through our careers. This will further help us chart the newer and uncharted territories with better questions, if not immediate answers.
Today, there are emerging facets in the journey of each job. A skills road map could be our guides on that journey.