Big Mistakes to Avoid When Performing Big Data Analytics
Mark Twain, a famous American author, once stated that there are “Lies, Damned Lies, and Statistics.” This phrase is used to describe the persuasive power of numbers, particularly the use of statistics, to lead people to draw incorrect conclusions. This workshop describes the subtle mistakes that can easily be made when interpreting the results from an analytic study or report. We describe logically sound processes for deciphering data using methods designed to illuminate actionable information for data scientists without distracting or misleading the knowledge worker from the relevant facts needed for effective decision-making.
Participants will learn about:
common mistakes in interpreting data that lead to incorrect conclusions
best practice for avoiding errors when conducting analytics with Big Data
the skill sets that data scientists must possess to avoid big mistakes when performing big data analytics.
About our Seminars
We offer time-poor executives and managers short seminars of 1-2 hours on current, topical and visionary subjects in the domain of data analytics. Stephen Brobst, CTO Teradata, has produced a diverse range of seminars that he can present to your staff at your premises. We may also occasionally run these as public seminars. Stephen frequently delivers keynotes at large conferences and is equally comfortable with business and/or technical audiences in smaller industry, organisational or user group meetings. Multiple seminars can be scheduled for one day. Stephen is experienced in both computer science via his MIT PhD work, and is also well versed in business management through his MBA work in a joint program between the Harvard Business School and the MIT Sloan School of Management. Download Stephen’s full profile [PDF, 212kb] for further details.
Based in the USA, travelling globally
Stephen Brobst is the Chief Technology Officer for Teradata Corporation. Stephen performed his graduate work in Computer Science at the Massachusetts Institute of Technology where his Masters and PhD research focused on high-performance parallel processing. He also completed an MBA with joint course and thesis work at the Harvard Business School and the MIT Sloan School of Management. Stephen is a TDWI Fellow and has been on the faculty of The Data Warehousing Institute since 1996. During Barack Obama’s first term he was also appointed to the Presidential Council of Advisors on Science and Technology (PCAST) in the working group on Networking and Information Technology Research and Development (NITRD). In 2014 he was ranked by ExecRank as the #4 CTO in the United States (behind the CTOs from Amazon.com, Tesla Motors, and Intel) out of a pool of 10,000+ CTOs.
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Private and Corporate Training
In addition to our public seminars, workshops and courses, AlphaZetta Academy can provide this training for your organisation in a private setting at your location or ours, or online. Please enquire to discuss your needs.