Difference Between Reskilling, Upskilling & New Skilling

Difference Between Reskilling, Upskilling & New Skilling

published on
Jul 2, 2024
4 Min REad
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In today's dynamic job market, mastering the art of continuous learning is paramount for your career growth. Understanding the nuances of upskilling, skilling, and reskilling can be a game-changer as you navigate through various professional paths. In this article, we will delve into the definitions, differences, and benefits of upskilling, skilling, and reskilling to equip you with valuable insights for shaping a successful career journey.

 

Understanding Upskilling, Skilling, and Reskilling

Upskilling, skilling, and reskilling are three terms that are often used interchangeably but have distinct meanings. Understanding these concepts will help you make informed decisions about your career development.

1. What is Upskilling?

Upskilling refers to acquiring new skills or enhancing existing ones within the same domain or industry. It focuses on expanding your skillset to keep up with advancements in technology, changing industry trends, or evolving job requirements. By upskilling, you can improve your employability within your current profession and increase opportunities for growth and promotion.

Who benefits from upskilling

  1. Professionals looking to advance their careers within their current field
  2. Individuals aiming to stay relevant in rapidly evolving industries

2. What is Skilling?

Skilling involves acquiring specific skills that are needed within a targeted field or profession. It is focused on developing expertise in a particular area to meet the demands of a specific role. Skilling helps individuals gain the specialised knowledge and abilities required for a particular job or profession.

Who benefits from skilling

  1. Fresh graduates seeking entry-level positions in specific industries
  2. Professionals looking to switch careers in a new field

3. What is Reskilling?

Reskilling refers to completely changing one's skill set to pursue a different career path. It involves learning new skills that are unrelated to one's current profession. Reskilling allows individuals to adapt to changes in industries affected by disruptive technologies or market shifts.

Who benefits from reskilling

  1. Professionals whose current roles may become obsolete due to automation or other technological advancements
  2. Individuals seeking new opportunities in emerging industries

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Upskilling vs. Skilling (with an example in Data Science)

Upskilling and skilling are similar in their objective of acquiring new skills, but they differ in their focus and scope. Upskilling involves expanding your existing skillset within the same field or industry, while skilling is about acquiring specific skills needed for a targeted profession or field.

  1. If you are a data scientist looking to upskill, you may choose to enhance your knowledge of machine learning algorithms or gain proficiency in a new programming language like Python.
  2. If you aspire to become a data scientist, you will need to gain expertise in areas such as statistical analysis, data visualisation, and programming languages like R or Python.

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Skilling vs. Reskilling (with an example in Project Management)

Skilling and reskilling have distinct purposes that cater to different career transitions. Skilling involves acquiring specific skills necessary for a particular job or profession, while reskilling refers to completely changing your skillset to pursue a different career path.

  1. To skill yourself in project management, you would learn techniques such as Agile methodologies or tools like Microsoft Project.
  2. Suppose you are currently working in marketing but wish to transition into project management. In this case, reskilling would involve learning the fundamental concepts of project management from scratch and gaining relevant certifications such as PRINCE2 or PMP (Project Management Professional).

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Upskilling vs. Reskilling (with an example in Business Intelligence)

Upskilling and reskilling differ primarily in their objectives and the extent of change they bring to your career trajectory. Upskilling focuses on developing additional skills while maintaining the same career path, while reskilling involves a more drastic shift in your career.

  1. If you are a business intelligence analyst, you might upskill by acquiring knowledge of advanced data visualisation tools or expanding your expertise in predictive analytics.
  2. Suppose you are currently working as a business analyst but wish to switch to digital marketing. Reskilling would require learning new concepts such as social media marketing, search engine optimisation (SEO), or digital advertising.

Read more about - Understanding the Difference Between Upskilling and Reskilling

When to Upskill?

  1. Technological advancements: If you notice rapid advancements in technology relevant to your industry, it may be an indication that upskilling is required. For example, if you work in software development and witness a surge in demand for mobile app development using cross-platform frameworks like React Native or Flutter, it would be wise to upskill accordingly.
  2. Industry trends: Keeping an eye on current industry trends can help identify emerging skill requirements. For instance, if you work in marketing and observe a growing emphasis on influencer marketing or content creation for social media platforms, it may be beneficial to upskill in these areas.
  3. Changes in job requirements: If you come across job postings or opportunities within your field that require skills beyond what you currently possess, it is a clear sign that upskilling is necessary. Pay attention to the skills and qualifications sought by employers to identify areas where you can improve.

When to Reskill?

  1. Industry disruption: Disruptive technologies or market shifts can render certain job roles obsolete. If you find that your current industry is undergoing significant changes due to automation, artificial intelligence, or other disruptive forces, it may be time to consider reskilling for a more secure career path.
  2. Job market saturation: If you notice a saturation of job opportunities in your current field or an oversupply of professionals, reskilling can help you explore new industries with better prospects.
  3. Personal career goals: If you feel stagnant in your current profession and desire a fresh start or want to pursue a long-held passion, reskilling can open doors to new opportunities aligned with your aspirations.

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Emerging Popular Skills for Career Growth

  1. Data analysis and interpretation
  2. Digital marketing
  3. Project management
  4. Artificial intelligence and machine learning
  5. Cybersecurity
  6. Cloud computing
  7. UX/UI design
  8. Sales and negotiation
  9. Content creation and copywriting
  10. Leadership and team management

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Embracing Lifelong Learning with WiZR

To navigate the dynamic job market successfully, continuous learning is essential. WiZR offers expert guidance on a wide range of upskilling and reskilling programmes and certification courses to help you achieve your career goals. Start your journey today!

 

FAQs

1. Which job roles benefit most from reskilling?

Reskilling is beneficial for professionals in industries experiencing disruption, such as retail, manufacturing, or finance.

2. What are some popular upskilling programmes for teachers?

Popular upskilling programmes for teachers include courses on educational technology integration, teaching students with special needs, curriculum design and development, classroom management strategies, and assessment techniques.

3. Where can I find information about industry demands for specific skills?

You can find information about industry demands for specific skills by researching industry reports and publications, attending conferences or webinars related to your field of interest, and networking with professionals working in the industry you want to explore.

4. What are some popular upskilling programmes for software developers?

Popular upskilling programmes for software developers include courses on cloud computing, programming languages, cybersecurity fundamentals, or machine learning algorithms.

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