Data Analysis and Statistical Modeling in R
Learn the foundation of Data Science, Analytics and Data interpretation using statistical tests with real world examples
What you’ll learn
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Statistical modelling in R with real world examples and datasets
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Develop and execute Hypothesis 1-tailed and 2-tailed tests in R
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Test differences, durability and data limitations
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Custom Data visualisations using R with limitations and interpretation
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Applications of Statistical tests
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Understand statistical Data Distributions and their functions in R
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How to interpret different output values and make conclusions
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To pick suitable statistical technique according to problem
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To pick suitable visualisation technique according to problem
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R packages which can improve statistical modelling
Requirements
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Course will teach how to install R and R-studio on Windows OS
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Students should know and familiar with MAC/Linux distribution software installation, if they are using one.
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Should know basic R fundamentals such as vectors, data frames etc.
Who this course is for:
- University and college data science students
- Data Science aspirants
- Beginners who want to perform statistical modelling and learn about its applications
- people who want to shift from SPSS and EXCEL to R to perform statistical analysis
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