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How To Design Your Data Science Portfolio

KDnuggets

Read this overview of how the author created a data science portfolio that stands out and gets noticed.

Portfolio 113
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Top Backend Project Ideas for Your Portfolio

Knowledge Hut

The portfolio projects showcase their talents and skills whenever they try to look for new opportunities and jobs. These projects will provide valuable insights, feature details, and implementation ideas so you can develop and design your project portfolio. What are Backend Development Projects?

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Designing a Data Project to Impress Hiring Managers

Start Data Engineering

Adding Dashboard to your Profile Future Work Tear down infra Conclusion Further Reading References Introduction Building a data project for your portfolio is hard. Architecture Diagram 4.3. Getting hiring managers to read through your Github code is even harder.

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Choosing Between UI/UX Designer vs Front end Developer

Knowledge Hut

The average salary for a UI/UX Designer is $73,000 (Source:Indeed.com) compared to the average salary of a Front End Developer which is $62,000. So you want to be a designer or developer? But which one should you choose: Front end Developer vs UX designer or UI designer? Almost every business today has a website.

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How to Build a UX Design Portfolio in 2024? Tips and Examples

Knowledge Hut

Your portfolio functions as a visual CV showcasing your work highlights, application of design thinking approaches, and UX and UI design skills. It's more than just a list of projects; it's a story about your development as a designer. What is a UX Design Portfolio?

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9 Amazing Application of data engineering in real life

Edureka

Financial Portfolio Management Powering Portfolio Management: Data engineers help collect, process, and analyze large volumes of financial and market data. Enabling Smarter Investments: Engineers ensure real-time and historical data is refined for better analytics, risk checks, and portfolio strategies.

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Robinhood Acquires Pluto, AI Investment Research Platform

Robinhood

Real-Time Insights and Portfolio Optimization: Investors receive real-time updates and insights, enabling informed decisions swiftly and confidently. With AI-driven analysis, customer portfolios can be continually optimized for better outcomes, balancing growth and risk according to individual preferences.

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