მონაცემთა მეცნიერება - HP IT GROUP (TEBIM TEBITAGEM) TTGRT HP E-TİCARET

02 Jan

Statistics and R from Harvard University ★★★★☆(20)
Statistical Thinking for Data Science and Analytics from Columbia University ★★☆☆☆(18)
Data Science: R Basics from Harvard University ★★★★★(8)
People Analytics from University of Pennsylvania ★★★★☆(5)
Data Science: Visualization from Harvard University ★★★★★(3)
High-Dimensional Data Analysis from Harvard University ★★★★☆(3)
Data Science: Machine Learning from Harvard University ★★★★☆(2)
Case study: DNA methylation data analysis from Harvard University ★★★★★(2)
Data Science: Linear Regression from Harvard University ★★★☆☆(2)
Causal Diagrams: Draw Your Assumptions Before Your Conclusions from Harvard University ★★★★★(2)
Data Science: Wrangling from Harvard University ★★★★★(1)
Data Science: Productivity Tools from Harvard University ★★★★★(1)
Data Science: Probability from Harvard University ★★★☆☆(1)
Data Science: Inference and Modeling from Harvard University ★★★★☆(1)
Big Data and Education from Columbia University ★★★☆☆(1)
Data Science: Capstone from Harvard University
Principles, Statistical and Computational Tools for Reproducible Data Science from Harvard University
Data, Models and Decisions in Business Analytics from Columbia University

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