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Posts by Daisy

link to Can You Use Tableau for Data Analysis?

Can You Use Tableau for Data Analysis?

As part of an analyst's work, data is gathered and presented to stakeholders in a manner that makes sense to the business, be it to explain the past, predict future trends, or show a current data...

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link to Machine Learning vs. Normal Programming: What’s the Difference?

Machine Learning vs. Normal Programming: What’s the Difference?

Programming is how we’ve been building computer programs for over a century. But in the last few decades, machine learning has been rapidly taking over the world. Even though they’ve become an...

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link to The 15 Golden Skills That Make a Great Data Scientist

The 15 Golden Skills That Make a Great Data Scientist

Data science has recently risen to one of the most employable fields in modern times. With the big tech companies beating index funds in stock performance and big data getting bigger by the day, it...

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link to Scala vs. Python: Which Is Better for Data Science?

Scala vs. Python: Which Is Better for Data Science?

Data science is valued across all mediums of an organization due to the need to make sense of historical, current, and predict future uses and trends using massive amounts of data. Data scientists...

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link to The 15 Best Books for Machine Learning in Python

The 15 Best Books for Machine Learning in Python

Python is the most common language for machine learning. With various libraries and new techniques popping up frequently, it is essential to keep yourself updated using books written by subject...

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link to Is Data Analysis a Stressful Job? What You Need To Know

Is Data Analysis a Stressful Job? What You Need To Know

The data analyst is valued across all channels of an organization due to the need to understand and analyze information, and to state that analysis in digestible pieces. As an indispensable element...

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About the Author

Daisy is the founder of DataScienceNerd.com. Passionate for the field of Data Science, she shares her learnings and experiences in this domain, with the hope to help other Data Science enthusiasts in their path down this incredible discipline.

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