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Hathway Management Consulting 107-131 Water Street BC V6B 4M3 www. hmconsulting. ca I have also applied live data imports in Excel to prototype future functionality for a SaaS platform company. NEW I recently strengthened the analytics portfolio with a qualification in R from Johns Hopkins University through Coursera in early 2017. Good risk analysis is based on applying optimally the best expertise to known facts. For individual contributors I have modelled this in Excel. I have also used...

How to fill out data analytics portfolio

How to fill out data analytics portfolio

1. Start by identifying the purpose of your data analytics portfolio. Determine what kind of data analyst you are and what specific skills and expertise you want to showcase.
2. Gather relevant data analytics projects or work samples that highlight your abilities. These could include data analysis reports, data visualization dashboards, or predictive modeling projects.
3. Organize your portfolio in a logical manner. Divide it into sections such as projects, skills, education, and certifications.
4. Provide a brief description or summary for each project or work sample. Explain the problem you solved, the methodologies used, and the impact of your analysis.
5. Include any supporting materials or documentation that demonstrate your proficiency in specific data analytics tools or technologies.
6. Showcase your data visualization skills by including visually appealing charts, graphs, and interactive dashboards.
7. Highlight any relevant professional experience or internships in the field of data analytics.
8. Add testimonials or recommendations from clients or colleagues who have witnessed the value of your data analysis work.
9. Make your portfolio easily accessible by creating a website or an online platform where potential employers or clients can view your work.
10. Regularly update your portfolio with new projects, skills, or certifications to demonstrate your continuous learning and growth in the field of data analytics.

Who needs data analytics portfolio?

1. Data analysts who are looking for new job opportunities can benefit from having a data analytics portfolio. It serves as concrete evidence of their skills and expertise.
2. Data science students or recent graduates can use a data analytics portfolio to showcase their academic projects and demonstrate their abilities to potential employers.
3. Freelance data analysts or consultants can attract clients by presenting a portfolio that demonstrates their past projects and successful data analysis outcomes.
4. Data analytics professionals who want to advance in their careers can use a portfolio to showcase their expertise and differentiate themselves from their peers.
5. Data-oriented companies or organizations that are hiring data analysts can use portfolios as a way to assess candidates' skills and capabilities.

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