Opinions
We welcome guest blogs and opinions - see submission guidelines.
Latest:
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5 Mistakes I Wish I Had Avoided in My Data Science Career - Jul 26, 2021.
Everyone makes mistakes, which can be a good thing when they lead to learning and improvements over time. But, we can also try to first learn from others to expedite our personal growth. To get started, consider these lessons learned the hard way, so you don’t have to. -
Why and how should you learn “Productive Data Science”? - Jul 26, 2021.
What is Productive Data Science and what are some of its components? -
Design patterns in machine learning - Jul 21, 2021.
Can we abstract best practices to real design patterns yet? -
Why Saying “We Accept the Null Hypothesis” is Wrong: An Intuitive Explanation - Jul 19, 2021.
“The opposite of ‘Rejecting the Null’ is ‘Accepting’ isn’t it?”. Well, it is not so simple as it is construed. We need to rise above antonyms and understand one crucial concept. -
AGI and the Future of Humanity - Jul 13, 2021.
The possibilities for humanity's future very likely includes at least one in which computers will exceed human abilities. Artificial General Intelligence (AGI) does not necessarily have to be all doom and gloom. However, we must begin now to understand how this technical evolution might progress and consider what actions to take now to prepare. -
How Can You Distinguish Yourself from Hundreds of Other Data Science Candidates? - Jul 13, 2021.
A few easy (and not-so-easy) ways to prove to employers that your skills and attitudes place you in a higher bracket. -
Abstraction and Data Science: Not a great combination - Jul 12, 2021.
The article is about too much abstraction and how this programming concept when extended to Data Science makes Data Science non-intuitive. -
Relax! Data Scientists will not go extinct in 10 years, but the role will change - Jul 7, 2021.
About 70% of KDnuggets readers think that the demand for Data Scientists will increase, and 50% think it will increase significantly. At the same time, over 90% think the role of Data Scientist will change. What will the Data Scientist role be in 10 years? -
How To Transition From Data Freelancer to Data Entrepreneur (Almost Overnight) - Jul 6, 2021.
Data freelancers trade hours for dollars while data entrepreneurs have found a way to make money while they sleep. Ready to make the transition? Keep reading to learn how to do it as SEAMLESSLY and PROFITABLY as possible. -
Data Scientists and ML Engineers Are Luxury Employees - Jul 5, 2021.
Maybe it seems that everyone wants to become a data scientist and every organization wants to hire one as quickly as possible. However, a mismatch often exists between what companies tend to need and what ML practitioners want to do. So, it's time for the field to take another step toward maturity through an enhanced appreciation of the broad range of technical foundations for an organization to become data-driven. -
5 Lessons McKinsey Taught Me That Will Make You a Better Data Scientist - Jul 1, 2021.
How to stand out from your peers in the data world.
June:
- Ethics, Fairness, and Bias in AI
- Unleashing the Power of MLOps and DataOps in Data Science
- Data Scientists are from Mars and Software Developers are from Venus
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What will the demand for Data Scientists be in 10 years? Will Data Scientists be extinct?
, by Matthew Mayo Participate in the latest KDnuggets survey and share your opinion: what does the next decade have in store for data scientist demand? - In-Warehouse Machine Learning and the Modern Data Science Stack
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Analytics Engineering Everywhere
, by Jason Ganz Many new roles have appeared in the data world ever since the rise of the Data Scientist took the spotlight several years ago. Now, there is a new core player ready to take center stage, and we may see in five years, nearly every organization will have an Analytics Engineering team.
- Major changes: Where Analytics, Data Science, Machine Learning were applied in 2020/21
- Data Science is Not Becoming Extinct in 10 Years, Your Skills Might
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How to Land a Data Analytics Job in 6 Months
, by Natassha Selvaraj Go from zero to hero in under six months. - Data storytelling: brains are built for visuals, but hearts turn on stories
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Data Scientists Will be Extinct in 10 Years
, by Mikhail Mew And why it’s not a bad thing. - Data Scientists, You Need to Know How to Code
- How a Single Mistake Wasted 3 Years of My Data Science Journey
- 5 Tips for Picking an Edge AI Platform
- BigQuery vs Snowflake: A Comparison of Data Warehouse Giants
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Will There Be a Shortage of Data Science Jobs in the Next 5 Years?
, by Pranjal Saxena The data science workflow is getting automated day by day.
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How I Doubled My Income with Data Science and Machine Learning
, by Terence Shin Many career opportunities exist in the ever-expanding domain of data. Finding your place -- and finding your salary -- is largely up to your dedication, focus, and drive to learn. If you are an aspiring Data Scientist or have already started your professional journey, there are multiple strategies for maximizing your earning potential.
- Overcoming the Simplicity Illusion with Data Migration
