Using Data Science to Explain Financial Freedom

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Hello Everyone.
Most of us spend our lives working.
Some enjoy it, some do not.

We work hard, fall sick, and even burn out from time to time.

Doing what you love is the cornerstone of having abundance in your life. — Wayne Dyer

After some time, you feel like…

Extracting Data from Multiple Data Sources

If you’re in tech, chances are you have data to manage.

Data grows fast, gets more complex and harder to manage as your company scales. The management wants to extract insights from the data they have, but they do not have the technical skills to do that. They then hire…

Data Engineering is the new Data Science

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All of us have heard about the title —
Data Scientist, the sexiest job of the 21st Century.
But is it really?

For many people who are new to the data industry, Data Science will be the first thing they hear about, and the title just sticks. …

Level up your Data Pipelines!

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Everyone: What do Data Engineers do?
Me: We build pipelines.
Everyone: You mean like a plumber?

Something like that, but instead of water flowing through pipes, data flows through our pipelines.

Data Scientists build models and Data Analysts communicate data to stakeholders. So, what do we need Data Engineers for?

Hands-on Tutorials

Data pipelines require version control too!

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If you’ve ever dealt with code collaboratively, you’d understand the importance of version control and branching strategies. These are the key tools that allow multiple developers to work on a project in parallel. Without them, your product is very likely to break.

For those who don’t understand what version control…

Once you go Plotly, you can’t go back

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Data Visualization is the language of Data Scientists.
If you are in the Data Industry, chances are you would need to present data to someone. You can’t do that without some visualization magic.

As the tech industry matures, the demand for better visualizations increases. Each type of visualization has its…

Using Data Science to Estimate Retirement

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In 2021, millennials are determined to retire early.
The determination does not mean they are lazy. In fact, millennials are more determined to pursue their passion in life, after solving their financial problems.

However, determination does not equal results. …

A data scientist’s productivity toolkit

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Hi Everyone,
We’re here to talk about productivity and organization today.
If you work in data, it is even more important to get your life organized,
as your data won’t be.

Productivity is being able to do things that you were never able to do before — Franz Kafka


Data engineering tricks to build quality data pipelines

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Hey everyone,
behind every tech product, there is automation to be done to keep data clean and up to date. It's 2021, only knowing how to build cool data models isn't sufficient to survive in the data scientist space. You have to dive deeper.

Nowadays, data pipelines are getting more…

How To Become A Data Scientist Without A Coding Background

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If you’re like me — you like tech, and data.
In this digital era, people are starting to realize that technology is bringing insane benefits to the human race, and it's up to humans, to drive it.

Yes, that's right, and I have heeded my call.

People call the military…

Nicholas Leong

Data Scientist turned Engineer — Crunching data and writing about it so you don’t get headaches.

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