This is the fourth of seven courses in the Google Advanced Data Analytics Certificate. In this course, you’ll discover how data professionals use statistics to analyze data and gain important insights. You'll explore key concepts such as descriptive and inferential statistics, probability, sampling, confidence intervals, and hypothesis testing. You'll also learn how to use Python for statistical analysis and practice communicating your findings like a data professional.
Learners who complete the seven courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate.
By the end of this course, you will:
-Describe the use of statistics in data science
-Use descriptive statistics to summarize and explore data
-Calculate probability using basic rules
-Model data with probability distributions
-Describe the applications of different sampling methods
-Calculate sampling distributions
-Construct and interpret confidence intervals
-Conduct hypothesis tests
Course 1 • Foundations of Data Science Quiz Answers |...
Course 2 • Get Started with Python All Quiz Answers |...
Course 3 • Go Beyond the Numbers Translate Data into ...
Course 5 • Regression Analysis Simplify Complex Data ...
Course 6 • Regression Analysis Simplify Complex Data ...
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