Change Career Path in Data Analytics

Create a Portfolio: Guide them to create a portfolio that showcases their best projects. A GitHub profile with code repositories or a personal website with case studies can be valuable.

Assess the Individual’s Background

• Educational Background: Find out if they have a relevant degree (computer science, statistics, economics, etc.) or need additional education.
• Skills Assessment: Evaluate their current skill set and identify areas for improvement (e.g., learning programming languages, data visualization, or statistical techniques).
• Career Goals: Understand their long-term goals—whether they want to specialize in a particular area of data analytics or aim for broader business roles that require data insights.