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Data science professionals rely on a range of tools, from basic spreadsheets to advanced languages like R and Python.

Data science is a process. This overview describes the 16 steps involved in the data science pathway.

Data science is sexy because it is one of the highest paying, most in-demand jobs around.

While data science relies heavily on statistical concepts, data science brings additional elements that make it a significantly ...

What exactly is data science, where did it come from, and why is it more important now than ever? annotated transcript: ...

Mathematics forms the foundation of data analysis. This presentation introduces some common mathematical concepts as used in ...

For those learning to code, the concept of functions does not come naturally. Kaiser explains functions, what they do, their general ...

Statistics is distinct from – but critical to – data science. In this non-technical, conceptual overview, learn how statistical practices ...

This video is part of the virtual useR! 2020 conference. Find supplementary material on our website https://user2020.r-project.org/.

Data science sits at the intersection of coding, math/statistics, and applied domain knowledge. This video explores those ...

The purpose of data science is to direct behaviors. Make sure you analysis supports actionable insights.

Big data and data science share many important elements, but this video shows how they represent conceptually distinct areas of ...

The statistical analysis of data is at the heart of data science. This overview introduces the most important concepts of analysis for ...

This video is about missing data. Missing data is sneaky. In time series settings it is important to impute these values, but you can't ...

Ensure your works legacy. Future proof it with the principles of reproducible research.

Existing data is theoretically the fastest and easiest way to get started in data science, but such data can bring it's own challenges.

Tableau Public is one of the most important tools for exploring data to get new insights. This video provides a condensed view of ...

Learn about the Data Science Pipeline with the National Student Data Corps! The first step in the Data Science Pipeline concerns ...

In this video we learn about centrality algorithms, which are one of the traditional categories of graph algorithms. You can read ...

What is Data Science ? | Data Science in 5 minutes | XPERGE In this video, you will come to know about "What is Data Science".

hello and welcome to foundations of data science at ncssm i'm excited that you've decided to join us this semester to learn a little ...

Your data science analyses are useful only to the extent that they can be interpreted and applied.

This workshop-style module provides an introduction to the emerging field of Data Science in R, including data analysis and ...

In this video we learn about the applications of Graph Data Science and how these approaches fit into the wider pipeline.

Exploratory statistics allow you to get a well-informed and flexible understanding of your data. For more on this topic – and all of ...