Statistics Fundamentals with R

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Learn Path Description

Statistics is the study of how best to collect, analyze, and draw conclusions from data. A strong foundation will serve you well, no matter what industry you work in. In this beginner’s track, you'll learn the concepts, topics, and techniques used by data scientists and statisticians every day—including observational studies and experiments, correlation, regression, exploratory data analysis, and inference. You’ll also develop your stats skills by working with real-world data, including Stack Overflow surveys, real estate prices, and medical shipment data. Start this track today to learn about the power of statistics and how it can be used in your day-to-day analyses!

Skills You Will Gain

Courses In This Learning Path

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Total Duration

4 hours

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Level

Beginner

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Learn Type

Certifications

Introduction to Statistics in R

Statistics is the study and analysis data. Statistics is a powerful tool that can help you to see the future and answer many questions. What is the likelihood that someone will buy your product? How many phone calls will your support team receive? How many calls will your support staff receive? This course will show you how to use sales data for these answers. Learn how scatterplots can show correlation and the relationship between numeric numbers. Probability, which forms the basis of statistical reasoning, is covered. Learn how to create a study that draws your conclusions.

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Total Duration

4 hours

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Level

Beginner

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Learn Type

Certifications

Introduction to Regression in R

This course is designed to provide an introduction to linear and logistic regression, two widely used statistical models for analyzing relationships between variables. By the end of the course, students will have a solid understanding of how to solve simple linear and logistic regressions using real-world data. The course covers a range of topics, including motor insurance claims, Taiwan house prices, and fish sizes. Students will learn how to use R programming language to perform linear regression analysis and build regression models. In addition, they will gain the skills to make predictions and measure model performance using their own data. This course is ideal for anyone looking to enhance their data analysis skills and unlock the secrets hidden within data sets.

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Total Duration

4 hours

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Level

Intermediate

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Learn Type

Certifications

Intermediate Regression in R

Two of the most widely used statistical models are linear regression and logistic regression. These models are the key to unlocking the secrets of data sets. This course builds on the skills acquired in "Introduction to Regression in R" and covers both logistic and linear regression with multiple explanation variables. Learn how variables interact with real-world data such as Taiwan house prices and customer churn modeling, among other topics. This course will show you how to combine multiple explanatory variables in a model, how they interact and how logistic regression and linear regression work.

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Total Duration

4 hours

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Level

Intermediate

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Learn Type

Certifications

Sampling in R

Sampling is an important part of hypothesis testing. Sampling is essential in survey analysis and experimental design. This course will teach you how to conduct common sampling methods and why sampling is so important. This course covers simple random sampling up to more complex methods like stratified and cluster sampling. This course will teach you how to estimate the population and quantify uncertainty by using bootstrap or sampling distributions. This course will provide real-world data about employee attrition, Spotify songs and coffee ratings.

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Total Duration

4 hours

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Level

Intermediate

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Learn Type

Certifications

Hypothesis Testing in R

Hypothesis testing allows for you to ask statistically sound questions about your data. This course will show you how to use commonly used tests like chi-square, proportion and t-tests. These tests will be explained in great detail, and you'll also learn the assumptions behind them. Use the "There's only a test" framework to learn how different hypothesis tests relate. Non-parametric tests can be used to bypass the traditional requirements of hypothesis tests. Throughout the course, you'll be able access a Stack Overflow survey as well as a database of late shipments to medical supplies.

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Total Duration

20 hours

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Level

Beginner

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Learn Type

Certifications

Statistics Fundamentals with R

Statistics is the study and analysis of data. No matter what industry, a solid foundation will help you succeed. This track is for beginners. It will teach you the topics and concepts used every day by statisticians and data scientists. Working with real-world data such as Stack Overflow surveys and real estate prices will help you to improve your stats skills. This track will teach you how statistics can be used to your daily analyses.

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