Nash @DataNash1

On a mission to become an elite Data Scientist & A.I. Practitioner 👨🏿‍💻🤓 Joined August 2023

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Nash @DataNash1

2 years ago

Obsidian is changing my life.

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Ekefan @_ekefan

2 years ago

Awesome time getting data science insights from @DataNash1, at Coffee With Nash. Thanks bruv💯💯

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Nash @DataNash1

2 years ago

Hey guys, hosting another call (9 Dec) with you guys to talk all things data since everyone enjoyed the last one. Spots are limited, if you want to join fill this out forms.gle/dRZxs6bYsgn27V…

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Nash @DataNash1

2 years ago

Big thanks to ‘Think Like A Data Scientist’ by Brian Godsey for these important lessons and plenty more! 📚

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Having clear acceptance criteria is a game-changer 🤯 This way you know when to stop tweaking a model and move on to the next bit. Without this criteria, you can spend a very long time trying to make model improvements that are so small it’s not worth it 🥴😅

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Nash @DataNash1

2 years ago

3) Before starting a project, always consider data availability (and potential to get more), difficulty level and any potential pitfalls. The method you choose to follow is often determined by these 3 things.

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Nash @DataNash1

2 years ago

2) THE BIGGEST LESSON 💡 Avoid reinventing the wheel by leveraging existing solutions: take advantage of open-source code and learn from blogs and tutorials. This way you reduce time and effort which increases efficiency 👌

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Nash @DataNash1

2 years ago

1) Data science projects are often messy, time consuming with uncertain end results 🤕so clear goals are crucial 🎯 This one equation changed the way I think about what to pursue in a project. The goal is to always maximise Efficiency

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Nash @DataNash1

2 years ago

This one book transformed my data science career 🔥and these are the BIGGEST lessons it taught me👇👇 #datascience #bookrecommendation #datascientist

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Nash @DataNash1

2 years ago

Throwback to when I tried to use ChatGPT to augment some text data 🤦🤦🤦 And this is why you always check the output

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Nash @DataNash1

2 years ago

Hosting a video call with some of my newsletter subs to talk all nerdy things about data science. Limited spots but if you wanna join, fill out this form: forms.gle/WV4AnCVmcC49Re…

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Nash @DataNash1

2 years ago

5: NOT KEEPING UP WITH THE INDUSTRY Data Science is constantly evolving so you need to stay updated with the latest trends and techniques. You can do this by following experts on X, reading #datascience articles and watching educational YouTubers. Keep learning 📚

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Nash @DataNash1

2 years ago

4: The TRAP OF UNREALISTIC DEADLINES ⏳deadlines can be tricky to gauge in data science. It’s better to under-promise and over-deliver to avoid unnecessary stress. Give yourself time to produce quality work 👌

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Nash @DataNash1

2 years ago

3: UNDERESTIMATING ENGAGING COMMUNICATION Data science work is not just about presenting data, it’s about conveying business value. Remember the insights you give will be used to help the company to operate more efficiently. Being an engaging communicator helps you stand out 🙋

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Nash @DataNash1

2 years ago

2: BUSINESS KNOWLEDGE MATTERS 🕴️Your technical technical skills are critical but they need to be applied in a business environment. You need to understand the domain you work in and how data is used to achieve specific business results 🎯

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Nash @DataNash1

2 years ago

Regret 1: NOT LEARNING GITHUB 🙆‍♂️ As a data scientist, version control is a game-changer! When you build data tools that need to be accessed by others, #Github allows you to retain original code, make changes & instantly share with the team.

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Nash @DataNash1

2 years ago

My biggest Regrets from my first year as a Data Scientist 👇👇👇:

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Nash @DataNash1

2 years ago

4) No matter how you start, make sure to include projects in your portfolio when you're applying for jobs 🤓 Employers want to see that experience 🔥

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Nash @DataNash1

2 years ago

3) If you’re doing a degree, take advantage of the built-in projects that are part of your coursework 💻 You can collaborate with classmates on projects, or work on your own.

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Nash @DataNash1

2 years ago

2) If you're self-taught, try to work on projects as you go 🧑‍💻 You can find project ideas online and even small projects can be helpful, as long as they challenge you and help you learn new skills 💪