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Category: Data Science

link to Can Data Analysis Be Automated? (We Find Out)

Can Data Analysis Be Automated? (We Find Out)

Not so long ago, people were used to doing simple repetitive tasks such as performing a simple linear regression by hand, which is quite a tedious task even with the help of a calculator. While...

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link to How Much Does Data Cleaning Cost? And Is It Necessary?

How Much Does Data Cleaning Cost? And Is It Necessary?

With the data growing each passing minute, most industries out there have started to rely on data for their day-to-day operations, especially the data-intensive sectors like banks, retails, and...

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link to Why Is C++ Not Used for Data Science? (Let’s Find Out)

Why Is C++ Not Used for Data Science? (Let’s Find Out)

Data science has been known as the sexiest job of the 21st century a couple of times now. It's been a booming field in the IT industry for quite a long time now. If you take a good look around, it...

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link to 11 Ways Data Scientists Use SQL To Achieve Results

11 Ways Data Scientists Use SQL To Achieve Results

With having a massive quantity of data in every sector nowadays, the need for data scientists is increasing day by day to structure that immense data. A proper skill is required that can store that...

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link to 9 Ways Computer Science Jobs Will Be Automated

9 Ways Computer Science Jobs Will Be Automated

From logistics and telecommunications to security and plant management, every industry has now switched to automation. Manufacturing, on the other hand, is unquestionably the most prevalent sector....

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link to Comparing R And Python – Which Is Harder, Better?

Comparing R And Python – Which Is Harder, Better?

No matter how obscure, all programming languages have been built to solve a problem from the early days when the only way to code was using punched cards to the present, where Artificial intelligence...

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Having been working in Project management, business analysis, and with data science teams to collect, visualize and make needle-moving decisions for the business in the past 5 years, I'd love to learn and share with you all about big data, data science, data analytics, business analytics and how we can use them for far more effective decisions as leaders.

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