If you want to churn out your audience, talk about numbers. Therefore, learning how to create a Scatter Plot Correlation Graph is a massive leap toward crafting compelling data stories.ĭata with no accompanying narrative is boring to any audience, including engineers perceived to be very analytical. For instance, dots progressing on an upward-right side symbolize a linear (causal-effect) relationship. Our brains can easily identify a trend using dots. ![]() Deep Learning with R by François Chollet & J.J.The graph is amazingly easy to read and understand.An Introduction to Statistical Learning: with Applications in R by Gareth James et al.Hands-On Programming with R: Write Your Own Functions And Simulations by Garrett Grolemund & Hadley Wickham.Practical Statistics for Data Scientists: 50 Essential Concepts by Peter Bruce & Andrew Bruce.Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurelien Géron.R for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham & Garrett Grolemund.Inter-Rater Reliability Essentials: Practical Guide in R by A.Practical Statistics in R for Comparing Groups: Numerical Variables by A.Network Analysis and Visualization in R by A.GGPlot2 Essentials for Great Data Visualization in R by A.R Graphics Essentials for Great Data Visualization by A.Machine Learning Essentials: Practical Guide in R by A.Practical Guide To Principal Component Methods in R by A.Practical Guide to Cluster Analysis in R by A.Psychological First Aid by Johns Hopkins University.Excel Skills for Business by Macquarie University.Introduction to Psychology by Yale University.Business Foundations by University of Pennsylvania.IBM Data Science Professional Certificate by IBM.Python for Everybody by University of Michigan.Google IT Support Professional by Google.The Science of Well-Being by Yale University.AWS Fundamentals by Amazon Web Services.Epidemiology in Public Health Practice by Johns Hopkins University.Google IT Automation with Python by Google.Specialization: Genomic Data Science by Johns Hopkins University.Specialization: Software Development in R by Johns Hopkins University.Specialization: Statistics with R by Duke University.Specialization: Master Machine Learning Fundamentals by University of Washington.Courses: Build Skills for a Top Job in any Industry by Coursera.Specialization: Python for Everybody by University of Michigan. ![]() Specialization: Data Science by Johns Hopkins University.Course: Machine Learning: Master the Fundamentals by Standford.Q-Q plot draws the correlation between a given sample and the normal distribution.Ĭoursera - Online Courses and Specialization Data science Visual inspection of the data normality using Q-Q plots (quantile-quantile plots).In other words, we can assume the normality. Shapiro.test(my_data$mpg) # => p = 0.1229įrom the output, the two p-values are greater than the significance level 0.05 implying that the distribution of the data are not significantly different from normal distribution. Alternative hypothesis: the data are not normally distributed.Null hypothesis: the data are normally distributed. ![]()
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