Learn to create an effective Data Analyst Portfolio to showcase skills and increase your appeal to employers Plus E-book
What you will learn
Understand the Purpose of a Data Analyst Portfolio – Recognize the value of a portfolio in showcasing skills and experience in data analysis.
Curate Meaningful Projects – Learn how to select and present projects that highlight analytical and problem-solving skills.
Develop Data Visualization and Storytelling Techniques – Use visual storytelling to present data-driven insights effectively.
Gain Practical Experience with Portfolio Tools – Explore GitHub, Tableau Public, and personal websites as platforms to showcase projects.
Apply a Structured Approach to Data Projects – Follow best practices for defining business problems, analyzing data, and drawing conclusions.
Create a Professional Portfolio Website – Learn how to organize and present projects using platforms like GitHub Pages, Notion, or WordPress.
Optimize Portfolio for Visibility – Understand how to present work professionally and make it accessible to industry professionals.
Enhance Professional Profiles with a Portfolio – Learn strategies to integrate portfolio projects into LinkedIn and resumes to strengthen professional presence.
Explore Methods to Share and Promote Work – Use social media, blogs, and networking to showcase projects and engage with industry professionals.
Develop Confidence in Presenting Work – Learn techniques to effectively communicate portfolio projects in professional settings.
English
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