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Pay attention to your design, the language you use (and the spelling!) as well as the projects you’re promoting. They’re also dynamic and interactive, responding to the movement of the mouse. Of course, your own portfolio doesn’t need these fancy extras, but it highlights what you can achieve if you’re feeling ambitious. I work with managers and senior professionals who are self-taught and are experts at what they do. When they source for candidates, they rarely put emphasis on an individual’s educational background. Rather, they look for driven applicants who are willing to put in the effort to learn continuously.
To illustrate this, the first image below is what we see on James’ website. The second is the notebook document that we click through to on GitHub.
Introduction to Data Wrangling
Udacity’s mission is to provide students with the tech skills needed to advance their careers. The media shown in this article on building Data Science Portfolio are not owned by Analytics Vidhya and is used at the Author’s discretion. Not only for displaying your skills but also for practicing them regularly. Many companies like ZS Analytics, KPMG, Bain & Co., JPM, etc. have a Data Science Competition like the ones available on Kaggle. I thought that there were two types of people in the world – those who were cut out for programming , and those who weren’t. In this article, I explain the different ways statistics can be misused. I provide case studies on how data has been used to mislead people in the past.
Recently, they introduced a Deepnote profile that will showcase all the notebooks you publish with your information and profile picture. Be active on this platform by contributing, bug reporting, and pushing your current projects.
Tips to Make an Amazing Data Science Portfolio
Then, I built a machine learning pipeline with decision trees to predict the ten year risk of Coronary Heart Disease. Use W&B API to display your machine learning project results.
Writing a blog is not necessary, but you get more traction from various fields. Let me just clear the misconception among data scientists. Yes, GitHub is necessary, and we all should learn git. As a data scientist, I use Github daily, where I look for interesting data sets and projects. This is the most popular platform among developers, and to be honest, the recruiter does check your GitHub profile before calling you for an interview. After learning the basics of data science, you can start to work on real-world problems.
Data Storytelling Project
Rather, they have been conditioned from a young age to stay away from the field. If this project inspired you, gave you ideas for your own portfolio or helped you, please consider buying me a coffee ❤️. The most common place to give a talk is at a local Meetup. Meetups are all focused around specific topics, like “Python”, or “Data visualization using D3”.
Should I put kaggle on my resume?
They need to put their skills and certifications with relevant links that can highlight and authenticate that information. The best is to link GitHub, LinkedIn and Kaggle profile on the resume for the recruiters to get the comprehensive idea of the work that has been done by the candidate.
Fork the project that you like the most and send your first pull request (freecodecamp.org). A British-born writer based in Berlin, Will has spent the last 10 years writing about education and technology, and the intersection between the two. He has a borderline fanatical interest in STEM, and has been published in TES, the Daily Telegraph, SecEd magazine and more.
Projects I created for DataCamp
This is most of the work a data scientist does, and is a critical skill to demonstrate. This project involves taking messy data, then cleaning it up and doing analysis.
- As you can see in my profile below how I have contributed to other people’s projects and also worked on my own projects too.
- Your portfolio is perhaps the most important factor when it comes to landing a job in data science.
- These projects are very popular among aspiring data science professionals, and many other applicants will have similar projects on their portfolio.
- Online portfolios are often framed as a collection of pet projects or topics of interest.
- If you want to expand your audience, I will highly suggest you start with Medium.
A good competition to get started with is here, and you can find a set of tutorials here. In order to show we can build operational systems, we’ll need to build an end to end project. An end to end project takes in and processes data, then generates some output. Often, this is the result of a machine learning algorithm, but it can also be another output, like the total number of rows matching certain criteria. The Ayush profile has impressed me the most as he has been contributing to other organizations while writing blogs about machine learning.
