Overview Data scientists analyze complex datasets to extract actionable business insights.Their work involves data collection ...

Data Scientists are not enough. You need 5 cross-functional roles to deliver business value with data science. Using the analogy of home building, we'll see what these roles are and why missing ...

One of Python's best features is the number of libraries you can use with the language. Not only does Python come with lots ...

The main reason to use Python is that you get a lot more options than what's included in most spreadsheets. Spreadsheets are ...

They found that, contrary to the rumors of R’s demise, that R remains an integral part of the data science processes for its customers and prospects. In fact, Qubole concluded that organizations would ...

Harnham said that Python was now the top programming language used in data science, "with R falling firmly into second place." The remaining top-five data science technologies were SQL, AWS and Spark.

In the coming decade, the data scientist role as we know it will look very different than it does today. But don’t worry, no one is predicting lost jobs, just changed jobs.

Discover what data science is, its benefits, techniques, and real-world use cases in this comprehensive guide. Data science merges statistics, science, computing, machine learning, and other ...

This makes it well-equipped for numerical and technical computing. Its appeal for data science is how quickly developers can get started with Python. "For data science experts looking to start writing ...

Because of its simplicity, Python is the language of choice for creating UDFs in the data science community. In fact, the Tuplex team cites a recent poll showing that 66% of data platform users ...