![]() ![]() ![]() For instance, almost every popular No SQL database has a Python-specific API. Python is a great language for data science because it has many data science libraries available, and it’s widely supported by specialized software. ![]() Don’t worry if you feel intimidated by this list most of these will be gradually introduced in this book, though we’ll focus on Python. Their tools tend to differ too, with data scientist job descriptions more frequently mentioning the ability to use Hadoop, Pig, Spark, R, Python, and Java, among others. The main things that set a data scien- tist apart from a statistician are the ability to work with big data and experience in machine learning, computing, and algorithm building. In a research note from Laney and Kart, Emerging Role of the Data Scientist and the Art of Data Science, the authors sifted through hundreds of job descriptions for data scientist, statistician, and BI (Business Intelligence) analyst to detect the differences between those titles. It adds methods from computer science to the repertoire of statistics. Data science is an evolutionary extension of statistics capable of dealing with the massive amounts of data produced today. ![]()
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