The Power of Statistics

This course is part of Google Advanced Data Analytics Professional Certificate

Instructor: Google Career Certificates

What you'll learn

  •   Explore and summarize a dataset
  •   Use probability distributions to model data
  •   Conduct a hypothesis test to identify insights about data
  •   Perform statistical analyses using Python 
  • Skills you'll gain

  •   Advanced Analytics
  •   Statistical Inference
  •   Statistical Software
  •   Statistical Programming
  •   Statistical Methods
  •   Data Literacy
  •   Sampling (Statistics)
  •   Analytics
  •   Data Analysis
  •   Statistics
  •   Jupyter
  •   Descriptive Statistics
  •   Statistical Hypothesis Testing
  •   Technical Communication
  •   Statistical Analysis
  •   Probability Distribution
  •   Sample Size Determination
  •   Probability
  •   A/B Testing
  • There are 6 modules in this course

    Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career. 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

    Probability

    Sampling

    Confidence intervals

    Introduction to hypothesis testing

    Course 4 end-of-course project

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