IBM has tripled the size of its Data Science Elite Team, launched in 2018, to nearly 100 data scientists that have been deployed on more than 130 projects. According to Seth Dobrin, Ph.D., vice ...

Building on its $300 million investment in Apache Spark a year ago, IBM is announcing new initiatives including an environment where data scientists can learn, create and collaborate with peers using ...

Overview Structured Python learning path that moves from fundamentals (syntax, loops, functions) to real data science tools ...

Students can take this class first in the program if they have completed the entire IBM Applied Data Science Professional Certificate (especially the IBM Capstone course) and be able to recall ...

Job seekers sometimes ask how IBM defines "data scientist." It's an important question since more and more would-be data scientists are fighting for attention in an increasingly lucrative labor market ...

SciPy, Numba, Cython, Dask, Vaex, and Intel SDC all have new versions that aid big data analytics and machine learning projects. If you want to master, or even just use, data analysis, Python is the ...

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job. Among the many use cases Python covers, data analytics has become perhaps ...

Overview:Choosing between tools like Tableau and Microsoft Excel depends on whether users need fast visual reporting or ...

What do you get when you combine the No. 1 code editor with the No. 1 programming language for data science? You get more than 60 million installs of the Python ...

The CU MS-DS program on Coursera has collaborated with IBM to bring you the opportunity to practice the work data scientists do in real life. As a learner in this course, you have been provided access ...