Path overview
In this path, you’ll learn the foundations of statistics such as sampling, working with variables, and understanding frequency distribution tables and the fundamentals of probability and how to use them for analysis. You’ll also learn how to create and test hypotheses with significance testing, and how to make forecasts based on patterns and trends with real-world data.
Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Key skills
- Cleaning, preparing and analyzing data with R
- Creating insightful data visualizations
- Using statistics to perform descriptive analytics
- Using probabilities to perform predictive analysis
Path outline
Part 1: Probability and Statistics with R [5 courses]
Introduction to Statistics in R 5h
Objectives- Sample data using simple random sampling, stratified sampling, and cluster sampling
- Measure variables in statistics
- Build, visualize, and compare frequency distribution tables
Intermediate Statistics in R 3h
Objectives- Summarize a distribution using the mean, the weighted mean, the median, or the mode
- Measure the variability of a distribution using the variance and the standard deviation
- Compare values using z-scores
Introduction to Probability in R 1h
Objectives- Estimate theoretical and empirical probabilities
- Define the fundamental rules of probability
- Identify combinations and permutations
Conditional Probability in R 2h
Objectives- Assign probabilities based on conditions
- Assign probabilities based on event independence
- Assign probabilities based on prior knowledge
- Create spam filters using multinomial Naive Bayes
Hypothesis Testing in R 1h
Objectives- Implement probability density functions
- Create testable hypotheses
- Decide which hypotheses to support based on your data
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Go from zero to job-ready
Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.
Build your project portfolio
Build confidence with our in-depth projects, and show off your data skills.
Challenge yourself with exercises
Work with real data from day one with interactive lessons and hands-on exercises.
Showcase your path certification
Impress employers by completing a capstone project and certifying it with an expert review.
Projects in this path
Guided Project: Investigating Fandango Movie Ratings
Learn to combine the skills you learned in this course to perform practical data analysis.
Guided Project: Finding the Best Markets to Advertise In
Learn to combine the skills you learned in this course to perform practical data analysis.
Guided Project: Mobile App for Lottery Addiction
Learn to use probability and combinatorics in a practical setting.
Guided Project: Building a Spam Filter with Naive Bayes
Learn to use conditional probability and Naive Bayes in a practical setting.
Guided Project: Winning Jeopardy
Learn how to analyze text while figuring out strategies to win at Jeopardy.
Plus 0 more projects
Build your project portfolio with the Data Analyst in Python path.
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