Data scientists are a new type of analyst—part data engineer, part statistician, and part business analyst. And they're in high demand. Companies are combing through résumés and job websites, interviewing recent university grads, and poaching from their competitors in an effort to bring these new talents into their organizations. Of course, we’ve had statistical analysts in our organizations for years. Unfortunately, although these people are great at analyzing data, they are not always the best at explaining their findings to executives and business workers in understandable terms. Data scientists may be the people who can finally bridge the gap between doing advanced data analysis and using the findings to produce business results that align with an organization's goals.
You will learn:
Sponsored by Teradata
In-Depth Education and Research on All Things Data.
For 20 years, TDWI has been helping data professionals get smarter, so the companies they work for can innovate and grow faster.
TDWI advances the art and science of realizing business value from data by providing an objective forum where industry experts, solution providers, and practitioners can explore and enhance data competencies, practices, and technologies.