5 Free Platforms for Building a Strong Data Science Portfolio
KDnuggets
OCTOBER 5, 2023
Build an irresistible portfolio that hooks recruiters with these 5 free platforms - you won't believe how easy it is!
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KDnuggets
OCTOBER 5, 2023
Build an irresistible portfolio that hooks recruiters with these 5 free platforms - you won't believe how easy it is!
KDnuggets
OCTOBER 17, 2022
Outshine others and increase your odds of getting hired by maintaining a data science portfolio with projects, resumes, blogs, and reports.
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Build a strong data science portfolio by showcasing technical skills, working on real-world projects, staying active on LinkedIn, and leveraging platforms like GitHub and Kaggle to demonstrate your expertise.
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In this article, you'll learn how to create a portfolio that stands out.
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In this article, we are going to learn a unique way to create a data science portfolio. After learning the basics of data science, you can start to work on real-world problems. But how do you showcase your work?
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Robinhood
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based Chartr Limited, a data-driven media company and newsletter publisher, to its portfolio through an acquisition by Robinhood Markets, Inc. The post Sherwood Media Portfolio Grows with Chartr Limited Acquisition appeared first on Robinhood Newsroom. Sherwood Media, LLC has added U.K.-based
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Not every data science portfolio is worth showcasing. Follow these five tips to build a portfolio that impresses employers and gets you a job.
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The portfolio projects showcase their talents and skills whenever they try to look for new opportunities and jobs. This article is mainly focused on explaining different backend projects for beginners or students, intermediate learners, or those who have mid enough software development experience building large scalable projects.
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By the end of 2024, we’re aiming to continue to grow our infrastructure build-out that will include 350,000 NVIDIA H100 GPUs as part of a portfolio that will feature compute power equivalent to nearly 600,000 H100s. RSC has accelerated our open and responsible AI research by helping us build our first generation of advanced AI models.
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Most Popular Posts Last Week 7 Free Platforms for Building a Strong Data Science Portfolio by Abid Ali Awan 25 Advanced SQL Interview Questions for Read more »
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Steps to decide on a data project to build 2.1. Introduction 2. Objective 2.2. Research 2.2.1. Job description 2.2.2. Potential referral/hiring manager research 2.2.3. Company research 2.3. Data 2.3.1. Dataset Search 2.3.2. Generate fake data 2.4. Outcome 2.4.1. Visualization 2.5. Presentation 3. Conclusion 4. Read these 1.
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This is a short introduction to Made With ML, a useful resource for machine learning engineers looking to get ideas for projects to build, and for those looking to share innovative portfolio projects once built.
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Are you a data science beginner looking to build your portfolio? Start working on these projects today.
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Your portfolio functions as a visual CV showcasing your work highlights, application of design thinking approaches, and UX and UI design skills. In this competitive world of UX/UI design, success depends on your ability how to create a UX design portfolio and customize it to the position you want to get. What is a UX Design Portfolio?
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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.
KDnuggets
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The best way to learn Data Science is by solving real-world problems with the data and building your own portfolio. In this article, we will discuss three projects that you can work on to build your portfolio and impress interviewers.
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If portfolio management is done efficiently, companies focus on fruitful collaborations and can take calculated risks to reach their desired goals. They plan how implementing the lean principles at the senior management level can help build a portfolio that aligns with the company’s investment goals.
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Adding Dashboard to your Profile Future Work Tear down infra Conclusion Further Reading References Introduction Building a data project for your portfolio is hard. Formatting, Linting, and Type checks 4.2. Architecture Diagram 4.3. Getting hiring managers to read through your Github code is even harder.
The Pragmatic Engineer
FEBRUARY 23, 2023
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Precisely
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I want to note that at Precisely, we have excellent data appending and enrichment capabilities, but we use the term data enrichment as it encompasses our portfolio of data content products. Ensure you have permission and rights to use the data before you invest time in building the processes to use the data.
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11am: Bloomberg reported that Founders Fund, a VC fund co-founded by Peter Thiel, advised all its portfolio companies “to pull money from Silicon Valley Bank.” — Howard Lerman (@howard) March 9, 2023 From 12am: VCs tell portfolio companies to pull money they have in Silicon Valley Bank.
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Robinhood
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Robinhood Crypto customers in the United States can now use our API to view crypto market data, manage portfolios and account information, and place crypto orders programmatically Today, we are excited to announce the Robinhood Crypto trading API , ushering in a new era of convenience, efficiency, and strategy for our most seasoned crypto traders.
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Learn how to build a strong portfolio with personal projects using Generative AI. This will help you to stand out from the crowd!
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The transition from a data analyst to a data strategist with this guide on acquiring skills, building a portfolio, networking, and job search strategies.
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Let's explore each of these components: Step 1: Master Skills To really make it in the world of Marketing Project Management, I've discovered that building a diverse set of skills is absolutely essential. Discussion of your portfolio and experiences to gauge your suitability for the role.
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Build a Solid Data Science Foundation If you’re willing to secure a job as a data scientist without any prior experience and get hired in data science openings for freshers , ensure to build a solid data science foundation. Build a data science portfolio to highlight your work and learn from others' work as you progress.
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