Hardcore data professionals who understand the complex frameworks and languages involved are in short supply.
I predict new developments that will alleviate challenges for data teams and businesses in the years to come.
The long-heralded citizen data scientists will finally play a greater role in the field thanks to a simplification of the tools and platforms involved. Data professionals will benefit from some of the simpler tools that are available and a push for greater standardization will help the industry as a whole.
Data science is perhaps the most exciting area in all of enterprise technology right now, and it’s evolving at a lightning pace.
There are four predictions for data science in the new year.
Business people don't want to wait for data scientists to give them the data they need, so they're taking matters into their own hands With the availability of pre-configured cloud runtimes and accessible tools like H3 for geospatial data, Python has become more accessible for non- professionals. Business analysts and other less technical users will be able to use Python in the future.
It's possible to install a popular Python distribution in our cloud-based Python runtime if you want.
The beginner's guide from RealPython is one of the many online resources for non- professionals.
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