The Most Important Mindhack for the Data Science Aspirant

The Most Important Mindhack for the Data Science Aspirant

In order to improve as a student of the data world, realise that everybody around you is an able mentor. You have finished working on your first data science project. It’s simple, but works. You are amazed by how much you have learnt while working on it. Now, you wish to share your work to the rest of the world. So, you begin writing a blog.

You have finished working on your first data science project. It’s simple, but works. You are amazed by how much you have learnt while working on it. Now, you wish to share your work to the rest of the world. So, you begin writing a blog. Soon, you realise that your project is not decorated enough to be “blog-worthy”.

You could have always written a “How to do X” or a “Build X with Y” article. But, you prefer to not add onto the redundancy of certain content on the internet. You think about posting your project on LinkedIn. After all, its the network that could help you increase your professional contacts.

Then you think of the projects you have seen on your LinkedIn feed over the past few days. Each being scarier than its predecessor. Once again you realise that your project is not ready to go onto a platform, especially one with so many complex projects ruling the likes and shares.

At this point, some of you might save your code files into Github, with or without documentation. If you prefer to keep the code files in your local system, I pray you don’t delete them by mistake during a routine desktop cleanup. I was stupid enough to do it.

After a few weeks, you forget all about the project. Life moves on. You start learning new things. You build more projects, but do not discuss about your work with anybody. You are literally the Bruce Wayne of beginner data science projects. This is no doubt the road riddled with convenience. But convenience is a very poor catalyst to improvement.

The less convenient pathway would be to discuss your work with others, communicate your efforts with them, help them understand your work, understand their feedback and improve upon what you already know.

If you would be taking away only one statement from this article, I want it to be this — “In order to improve as a student of the data world, realise that everybody around you is an able mentor”.

beginner feedback project-based-learning data-science education

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Python Projects for Beginners: The Best Way to Learn

Python Projects for Beginners: The Best Way to Learn - Building projects is an extremely succesful way to learn, but building Python projects for beginners can be difficult. Learn how to build with success!

Free Data Sets for Data Science Projects

In this post, we’ll walk through several types of data science projects, including data visualization projects, data cleaning projects, and machine learning projects, and identify good places to find datasets for each.

50 Data Science Jobs That Opened Just Last Week

Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.

Learn Data Science Today - Data Science Tutorial for Beginners 2020!

How and why to start Learning to be a data scientist in 2020! This Data Science Course will give you a Step by Step idea about the Data Science Career, Data science Hands-On Projects, roles & salary offered to a Data Scientist!

15 Machine Learning and Data Science Project Ideas with Datasets

Learning is a new fun in the field of Machine Learning and Data Science. In this article, we’ll be discussing 15 machine learning and data science projects.