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Statistics usually includes:
statistical distribution: normal distribution, t distribution, gamma distribution, chi-square distribution, F distribution;
statistical modeling: Linear regression, Logistic regression, Generalized linear model, etc;
ANOVA, factor analysis, etc.
Focus on both correlation and causal relation analysis aomong variables and factors.
Using both R and Python to implement statistical programming.
Using ggolot2 in R and matplotlib in Python specially for plotting various statisticl figures.
We provide effective and economically affordable online training courses for R and Python, click here for more details and course…
We provide effective and economically affordable online training courses for R and Python, click here for more details and course…
We provide effective and economically affordable online training courses for R and Python, click here for more details and course…
We provide effective and economically affordable online training courses for R and Python, click here for more details and course…
We provide effective and economically affordable online training courses for R and Python, click here for more details and course…
We provide effective and economically affordable online training courses for R and Python, click here for more details and course…
We provide effective and economically affordable online training courses for R and Python, click here for more details and course…
We provide effective and economically affordable online training courses for R and Python, click here for more details and course…
We provide effective and economically affordable online training courses for R and Python, click here for more details and course…
We provide effective and economically affordable online training courses for R and Python, click here for more details and course…