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Working as a data scientist means managing a lot of information, including the constantly evolving business problem, the data sources we use, the model produced, and much more. With so much happening, this information management can quickly become overwhelming. The Notion platform can help improve your information management — and ultimately your productivity — with the plethora of the platform community’s ready-made templates.
What, exactly, are these templates? Let’s take a look.
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Data Science Project Tracker
Let’s start with the Data Science Project Tracker by Sandile Mfazi. As its name states, this is a Notion template designed to track your data science project in a single, simple form. The template provides everything needed in an effective project tracker, including the project’s overall progress, timeline, tasks to be completed, and finished tasks.
For those who need better data science project tracking, this template is perfect for you.
Data Science Planner 2.0
The next template we will explore is the Data Science Planner 2.0 by Sandile Mfazi. It’s designed for data scientists to plan and map their projects more granularly.
In this template, you can structure your data science project into daily, weekly, or monthly tasks. At the same time, you can prioritize the tasks to determine which ones you should do initially. It’s a simple template but valuable when your data science tasks become complex as the project progresses.
Coding Project
The modern data science project is now about optimizing the works using the programming language. This is why the Coding Project Template by itsneziee is helpful in tracking our coding progress in the data science project.
The Coding Project Template was developed with computer science students in mind, but it applies to many data scientist projects. As you can see in the image below, the template can be used to describe all our coding projects and add the code snippets that are important for finishing the tasks. It’s also helpful to structure our project, the coding project phase, and the timeline for finishing them. By having a standard template for any of our coding for the data science project, we could document our coding much more quickly.
API Documentation
For many data science projects, the deployment process uses microservice APIs to make things easier. The information we develop and the many models and endpoints must be managed well. For that reason, we can use the API Documentation from Sidita Duli.
The documentation is simple, as it provides the groundwork for the user to gather all the information necessary to understand the API, as you can see in the image below. You can include information about the API we developed, the template, the rate limit, and all the necessary guides from the template. Using the template, you can control and manage all the APIs for your deployed model and share the information with the team.
Research Processing System
Data science is all about learning from the research that comes from the community and academia. New research is produced daily in this field; sometimes, controlling which one to read is hard.
To help manage research papers, we can use the Research Processing Template by Richard Mathews II.
The Research Processing System provides a template for managing all the research papers we want to read, finishing processing the paper, and determining the status of the papers we read. The template itself is based on research on how to read a research paper so we can get all the values when we read the paper. Try to use it to control which paper you should spend time on and which one is not significant enough.
ChatGPT Data Science Prompts
We are in an era where generative AI products such as ChatGPT are helping all of us work, including data scientists. From ideation for the data science pipeline and performing coding debugging to finding insight, generative AI can help you do that. What is important is that we have the appropriate prompt.
The ChatGPT Data Science Prompts by Sandile Mfazi is a template that helps you manage all the prompts specific to data science work. The template provides all the data science topics prompt that we can use for our daily work, including those for tasks such as data cleaning, data exploration, model deployment, and more. Additionally, you can store and document additional necessary prompts for your work.
Ultimate Interview Prep
Before we can perform data scientist work, we need to be able to secure employment. Therefore, we need to prepare for our interview with the company. The Notion Ultimate Interview Prep by Valfile can help you with the process.
The template is designed to contain all of your necessary interview preparation materials, such as career guides on preparing for the interview, an interview question bank, and more. It also provides a place to list all the companies you have applied to and interviewed with, along with their results. There is also an interview calendar that would be useful for you to remember when to interview and the company where the interview will happen. You can use this template to fully prepare for your data science job and the process of attaining it.
Conclusion
Notion is a platform that fosters productivity and collaboration, and we can improve our data science work by using their available templates. Check out Notion now, and leverage its power to to increase your productivity in so many ways.
I hope this has helped!
Cornellius Yudha Wijaya is a data science assistant manager and data writer. While working full-time at Allianz Indonesia, he loves to share Python and data tips via social media and writing media. Cornellius writes on a variety of AI and machine learning topics.
