Embedded Files
Top 20 Skills over 2014-2023
Changes in required skills
Increased demand - Sharp rises in Python and machine learning indicate their growing prominence across industries.
Enduring relevance - Data analysis skills consistently rank highly, underscoring their importance.
Declining focus - Traditional skills like Microsoft Access face reduced emphasis as advanced competencies gain priority.
Rising visualization tools - Tableau and Power BI have grown more vital amid greater data presentation needs.
Balanced demand - Statistical and economic analysis maintain relevance despite technological shifts, suggesting a balanced mix of emerging and conventional abilities retain value.
Rapid evolution - Only 2 of the 2014 specialized skills remained prominent in 2022, indicating swiftly changing demands. (For example 2014 top skill is Microsoft Excel, 2022 is SQL)
AI Rising for Influence - New prominent skills primarily back AI applications.
Software shifts - Python, R and Power BI edged out previous software abilities showing progression towards data science and visualization.
This synthesized analysis rigorously connects AI’s expanding role to transformations in jobs, skills, and hiring practices over the past decade. We underscore the critical necessity of adaptation and lifelong learning to meet the job market’s mounting emphasis on specialized AI competencies.
TOP SPECIALISED SKILLS EXAMPLES
Top 20 Specialized Skills - new entrees in top 10 skills are in machine learnings and visualization (red); analytic skills increase in ranking (yellow); general business skills decrease in ranking (blue) or disappear (gray)
TOP SOFTWARE SKILLS EXAMPLES
Top 20 Software Skills - new entrees in top 10 skills emphasize visualization, managing, and analyzing large datasets (red); visualization and analytics skills increase in ranking (yellow); generic software skills decrease in ranking (blue) or disappear (gray)
Strikingly only 2 of the top specialized skills in 2014 remain in the 2022 list, attesting the high speed of change. Both Data Analysis and Computer Science moved up in rank. The remaining 8 new entrants are in the data analytics, data science, visualization field. While AI knowledge is not explicitly mentioned the new specialized skills are all supporting AI applications.
New to the top 10 skills in 2022 are Python, R and Power BI—all tools specifically supporting for data science and visualization applications. Business Software, MS Access, and MS Visio dropped out of the top ten, while generic applications, such as Excel, PowerPoint MS Office, SAS, remained important but moved down the list.
Page updated
Report abuse