Data Science Fundamentals

Data science has its roots in statistics, computer science, and data analysis in the 1960s. It has since evolved into a multidisciplinary field that leverages advanced algorithms, machine learning, and artificial intelligence to uncover valuable insights and knowledge from data. Today, data science is more important than ever, enabling organizations to make data-driven decisions. The potential of data science is limitless, and its impact on the world is just beginning to be realized.

In this Series, we’ll delve into the fundamentals of data science, exploring the tools, techniques, and languages used to extract insights from data. From Python and R to SQL and PySpark, we’ll cover the most popular programming languages used in data science today. We’ll also explore niche, cutting-edge options, such as Julia, Scala, and Haskell, that offer unique advantages for specific use cases. Whether we’re new to the discipline or looking to expand our skillset, this Series will provide a solid foundation for building your knowledge and mastering the art of data science.

Throughout a collection of carefully-curated material, we’ll delve into the foundational knowledge of probability theory, statistics, optimization, computer science, software development, big data processing, and much more.

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Exploratory data analysis (EDA) is a scientific technique developed by the mathematician John Tukey in the 1970s widely used in…
In the last part of this 3-segment Guided Project, we introduced the concept of Exploratory Data Analysis (EDA). We…
Data Analysis Expressions (DAX) is a domain-specific language created by Microsoft and used in various Microsoft products, particularly in…
Higher-order functions take other functions as arguments and/or return other functions as a result. These powerful abstractions allow us…
Over the last two articles of this series, we have discussed different Big Data file formats and their overall…
Machine Learning is a field focused on developing, comprehending, and utilizing computer programs that can learn from experience to model,…

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