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The field of data science has seen enormous growth over the last few years. Organizations increasingly leverage data as a strategic asset that data scientists turn into meaningful insights. These…
The field of data science has seen enormous growth over the last few years. Organizations increasingly leverage data as a strategic asset that data scientists turn into meaningful insights. These days, data science and machine learning are essential to software products that need to classify information and deliver personalized experiences and unique interactions with users.
R and Python are popular programming languages in data science because they combine text with code to clean and explore data for reproducible insights. As data science and machine learning are iterative processes for testing new ideas, Git and GitHub are ideal tools for tracking changes and working together.
Git and GitHub help data scientists:
Our data science webcast series will explore the different ways data scientists use Git and GitHub:
We look forward to seeing you there!