10 Cheat Sheets You Need To Ace Data Science Interview by Abid Ali Awan via @kdnuggets

The only cheat you need for a job interview and data professional life. It includes SQL, web scraping, statistics, data wrangling and visualization, business intelligence, machine learning, deep learning, NLP, and super cheat sheets.

Useful to have and learn from even if it is NOT for an interview.

The Complete Data Science Study Roadmap by Nisha Arya via @kdnuggets

In this article, she is going to map out the things you need to do to become a Data Scientist. This article may solely be for beginners, however, there may be a thing or two that current Junior Data Scientists may have missed out on. This is where I am here to help fill in those gaps so that you don’t have to feel imposter syndrome or lack of confidence in your data science journey.

Interesting and as the introduction says, everyone can fill in gaps of knowledge from this roadmap.

21 Cheat Sheets for Data Science Interviews by Nate Rosidi by @kdnuggets

This article has researched and presents the best data science cheat sheets from around the internet, so you don’t have to do it yourself.

Very useful whether you are working as a Data Scientist already or not. Definitely some worth a bookmark, saving in Evernote or a printout.

Data Science Projects That Will Land You The Job in 2022 by Natassha Selvaraj via @kdnuggets

Project ideas and portfolio tips from a self-taught data scientist.

Some great ideas for you to prove that you know what you are talking about.

8 Free MIT Courses to Learn Data Science Online by Natassha Selvaraj via @kdnuggets

Create a data science learning path with courses from the world’s most prestigious university.

Some great courses from an amazing place,

Best Data Science Books for Beginners by Nisha Arya via @kdnuggets

The best knowledge is still placed in the libraries; within books. In this article, discover some of the top recommended Data Science books catering to beginners.

I would recommend the middle ground - do them both and read books while doing some targeted training too.

10 Python operations for 70% of your Data Analysis by Anmol Tomar via @Medium

Day to day work of a Data Scientist involves a variety of tasks such as data pre-processing, data analysis, machine learning model creation, model deployment.

This is so good I almost feel as if we need to give a commission to Anmol every time we run this kind of code!

8 Must-Have Git Commands for Data Scientists by @snr14 via @kdnuggets

Git is a must-have skill for data scientists. Maintaining your development work within a version control system is absolutely necessary to have a collaborative and productive working environment with your colleagues. This guide will quickly start you off in the right direction for contributing to an existing project at your organization.

I good quick reminder of the commands you need to use in Git - worth a printout or adding it to something like an Evernote folder.

How to Create an Irresistible Data Science Resume (with code) by Frank Andrade via @TDataScience

Stop wasting time using Word. Use templates, a few lines of code, and techniques to increase your chances of getting an interview.

Some really good advice here from Frank that appears to be well worthwhile following. Make the time to really think about what he is saying here.

The Difference Between Data Scientists and ML Engineers by Kurtis Pykes via @kdnuggets

What's the difference? Responsibilities, expertise, and salary expectations.

I like that this gives some places to get training as well as clear expectation on salary.

5 Lessons McKinsey Taught Me That Will Make You a Better Data Scientist by Tessa Xie via @kdnuggets

How to stand out from your peers in the data world.

Some great advice that we could all benefit from no matter what we do.

17 Must Know Code Blocks For Every Data Scientist by Bharath K via @TDataScience

Discussing the 17 code blocks that will help you to effectively tackle most tasks and projects as a data scientist

I think everyone needs to print and keep this great article and you can refer back to it.

A Guide On How To Become A Data Scientist (Step By Step Approach) by Aditya Agarwal via @kdnuggets

Becoming a Data Scientists is an exciting path, but you cannot learn data science within one year or six months—instead, it’s a lifetime process that you have to follow with proper dedication and hard work. To guide your journey, the skills outlined here are the first you must acquire to become a data scientist.

My advice is to do the knowledge but a Data Scientist is not as easy a job to get so you might want or think a bit more about that as an achievable goal. Consider becoming a Data Engineer or other role in the same region of jobs with the option to move up to a Data Scientist at some point when you have a lot more experience to rely upon.

6 side hustles for an aspiring data scientist by Ahmad Bin Shafiq via @kdnuggets

The ideas the author is about to suggest would certainly help you upskill, earn a good side income as a data scientist, and most importantly, be your own boss.

This was interesting.

16 Must-Know Bash Commands for Data Scientists by Giorgos Myrianthous via @TDataScience

Exploring some of the most commonly used bash commands.

This was really useful as I really struggle with anything in the Unix or Linux worlds. I love that you see clear examples for each of the commands.

How to become a Data Scientist: a step-by-step guide by/via @kdnuggets

Data science is everywhere. But what are the best ways to learn the field well enough to enter the profession? Read on for some tips and steps on doing so, and some great courses to help you get there.

Follow the link in the article to find could online courses that the authors recommend. Definitely, a must-read for anyone thinking of going into Data Science.

Data Prep Still Dominates Data Scientists’ Time, Survey Finds by Alex Woodie via @datanami

Data scientists spend about 45% of their time on data preparation tasks, including loading and cleaning data, according to a survey of data scientists conducted by Anaconda. The company also analyzed the gap between what data scientists learn as students, and what the enterprises demand.

Yes, it does take time, but if you prepare your data right then the results will be good.

Soft Skills for Data Science by Rebecca Vickery via @TDataScience

To be a great data scientist, you need more than data acumen.

Some great skills to have no matter what job you do. Worth a read.

Coding habits for data scientists by David Tan via @thoughtworks

Code to train ML models can get messy fast. This article identifies the bad habits that add complexity in code and suggests good habits to cultivate in order to declutter your code.

Some great advice in this article and some great examples of python code - both good and bad.

Want a data science job? Use the weekend project principle to get it by @mrdbourke via @Medium

Online course certificates are great. But projects of your own are better.

My suggestions are to join Kaggle, Data Science Central or some other forum where you can access free data and do some analyses that show or prove something.