- Level Expert
- المدة 37 ساعات hours
- الطبع بواسطة Google
-
Offered by
عن
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. 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 testsالوحدات
Get started with the course
6
Videos
- Introduction to Course 4
- Evan: Engage and connect
- Welcome to module 1
- The role of statistics in data science
- Statistics in action: A/B testing
- Descriptive statistics versus inferential statistics
2
Readings
- Helpful resources and tips
- Course 4 overview
1
Quiz
- Test your knowledge: The role of statistics in data science
Descriptive statistics
4
Videos
- Measures of central tendency
- Measures of dispersion
- Measures of position
- Alok: Statistics as the foundation of data-driven solutions
3
Readings
- Measures of central tendency: The mean, the median, and the mode
- Measures of dispersion: Range, variance, and standard deviation
- Measures of position: Percentiles and quartiles
1
Quiz
- Test your knowledge: Descriptive statistics
Calculate statistics with Python
3
Labs
- Annotated follow-along guide: Compute descriptive statistics with Python
- Activity: Explore descriptive statistics
- Exemplar: Explore descriptive statistics
1
Videos
- Compute descriptive statistics with Python
1
Quiz
- Test your knowledge: Calculate statistics with Python
Review: Introduction to statistics
1
Videos
- Wrap-up
1
Readings
- Glossary terms from module 1
1
Quiz
- Module 1 challenge
Basic concepts of probability
4
Videos
- Welcome to module 2
- Objective versus subjective probability
- The principles of probability
- The basic rules of probability and events
2
Readings
- Fundamental concepts of probability
- The probability of multiple events
1
Quiz
- Test your knowledge: Basic concepts of probability
Conditional probability
3
Videos
- Conditional probability
- Discover Bayes' theorem
- The expanded version of Bayes’s theorem
2
Readings
- Calculate conditional probability for dependent events
- Calculate conditional probability with Bayes's theorem
1
Quiz
- Test your knowledge: Conditional probability
Discrete probability distributions
3
Videos
- Introduction to probability distributions
- The binomial distribution
- The Poisson distribution
1
Readings
- Discrete probability distributions
1
Quiz
- Test your knowledge: Discrete probability distributions
Continuous probability distributions
2
Videos
- The normal distribution
- Standardize data using z-scores
1
Readings
- Model data with the normal distribution
1
Quiz
- Test your knowledge: Continuous probability distributions
Probability distributions with Python
3
Labs
- Annotated follow-along guide: Work with probability distributions in Python
- Activity: Explore probability distributions
- Exemplar: Explore probability distributions
1
Videos
- Work with probability distributions in Python
1
Quiz
- Test your knowledge: Probability distributions with Python
Review: Probability
1
Videos
- Wrap-up
1
Readings
- Glossary terms from module 2
1
Quiz
- Module 2 challenge
Introduction to sampling
6
Videos
- Welcome to module 3
- Cliff: Value everyone's contributions
- Introduction to sampling
- The sampling process
- Compare sampling methods
- The impact of bias in sampling
4
Readings
- The relationship between sample and population
- The stages of the sampling process
- Probability sampling methods
- Non-probability sampling methods
1
Quiz
- Test your knowledge: Introduction to sampling
Sampling distributions
3
Videos
- How sampling affects your data
- The central limit theorem
- The sampling distribution of the proportion
2
Readings
- Infer population parameters with the central limit theorem
- The sampling distribution of the mean
1
Quiz
- Test your knowledge: Sampling distributions
Work with sampling distributions in Python
3
Labs
- Annotated follow-along guide: Sampling distributions with Python
- Activity: Explore sampling
- Exemplar: Explore sampling
1
Videos
- Sampling distributions with Python
1
Quiz
- Test your knowledge: Work with sampling distributions in Python
Review: Sampling
1
Videos
- Wrap-up
1
Readings
- Glossary terms from module 3
1
Quiz
- Module 3 challenge
Introduction to confidence intervals
3
Videos
- Welcome to module 4
- Introduction to confidence intervals
- Interpret confidence intervals
1
Readings
- Confidence intervals: Correct and incorrect interpretations
1
Quiz
- Test your knowledge: Introduction to confidence Intervals
Construct confidence intervals
2
Videos
- Construct a confidence interval for a proportion
- Construct a confidence interval for a mean
1
Readings
- Construct a confidence interval for a small sample size
1
Quiz
- Test your knowledge: Construct confidence intervals
Work with confidence intervals in Python
3
Labs
- Annotated follow-along guide: Confidence intervals with Python
- Activity: Explore confidence intervals
- Exemplar: Explore confidence intervals
1
Videos
- Confidence intervals with Python
1
Quiz
- Test your knowledge: Work with confidence intervals in Python
Review: Confidence intervals
1
Videos
- Wrap-up
1
Readings
- Glossary terms from module 4
1
Quiz
- Module 4 challenge
Hypothesis testing
3
Videos
- Welcome to module 5
- Elea: Keep learning in the ever-changing data space
- Introduction to hypothesis testing
2
Readings
- Differences between the null and alternative hypotheses
- Type I and type II errors
1
Quiz
- Test your knowledge: Introduction to hypothesis testing
One-sample tests
1
Videos
- One-sample test for means
1
Readings
- Determine if data has statistical significance
1
Quiz
- Test your knowledge: One-sample tests
Two-sample tests
2
Videos
- Two-sample tests: Means
- Two-sample tests: Proportions
4
Readings
- One-tailed and two-tailed tests
- A/B testing
- Experimental Design
- Case study: Ipsos: How a market research company used A/B testing to help advertisers create more effective ads
1
Quiz
- Test your knowledge: Two-sample tests
Hypothesis testing with Python
3
Labs
- Annotated follow-along guide: Use Python to conduct a hypothesis test
- Activity: Explore hypothesis testing
- Exemplar: Explore hypothesis testing
1
Videos
- Use Python to conduct a hypothesis test
1
Quiz
- Test your knowledge: Hypothesis testing with Python
Review: Introduction to hypothesis testing
1
Videos
- Wrap-up
1
Readings
- Glossary terms from module 5
1
Quiz
- Module 5 challenge
Apply your skills to a workplace scenario
3
Videos
- Welcome to module 6
- Sean: Showcase your talents to potential employers
- Introduction to your Course 4 end-of-course portfolio project
1
Readings
- Explore your Course 4 workplace scenarios
Automatidata scenario
2
Labs
- Activity: Course 4 Automatidata project lab
- Exemplar: Course 4 Automatidata project lab
2
Readings
- Course 4 end-of-course portfolio project overview: Automatidata
- Activity Exemplar: Create your Course 4 Automatidata project
1
Quiz
- Activity: Create your Course 4 Automatidata project
TikTok scenario
2
Labs
- Activity: Course 4 TikTok project lab
- Exemplar: Course 4 TikTok project lab
2
Readings
- Course 4 end-of-course portfolio project overview: TikTok
- Activity Exemplar: Create your Course 4 TikTok project
1
Quiz
- Activity: Create your Course 4 TikTok project
Waze scenario
2
Labs
- Activity: Course 4 Waze project lab
- Exemplar: Course 4 Waze project lab
2
Readings
- Course 4 end-of-course portfolio project overview: Waze
- Activity Exemplar: Create your Course 4 Waze project
1
Quiz
- Activity: Create your Course 4 Waze project
End-of-course portfolio project wrap-up
1
Videos
- End-of-course project wrap-up and tips for ongoing career success
1
Readings
- Course 4 glossary
1
Quiz
- Assess your Course 4 end-of-course project
Course review: The Power of Statistics
1
Videos
- Course wrap-up
2
Readings
- Reflect and connect with peers
- Get started on the next course

Google Career Certificates