There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.
There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...2023240532
Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
Common Method Bias (Harman Single Factor Test)
Frequency Analysis (Demographic)
Descriptive Analysis
Completed specialization certificate for building data science teams
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CERTIFICATE
OCTOBER 29, 2015
Jeffrey Allan Schroeder
Building a Data Science Team
an online non-credit course authorized by Johns Hopkins University and offered
through Coursera
has successfully completed
Brian Caffo, PhD, MS, Jeffrey Leek, PhD, Roger D. Peng, PhD
Verify at coursera.org/verify/YJ6CUWR4SSFU
Coursera has confirmed the identity of this individual and
their participation in the course.