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Statistics Fundamentals with R

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Total Duration
20 Hours

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 …

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Courses in this Learning Path
1
Introduction to Statistics in R
DataCamp Course via DataCamp
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Duration : 4 hours
Price :₹1,093
Level :Beginner
Learn Type :Certification
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 …

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2
Introduction to Regression in R
DataCamp Course via DataCamp
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Duration : 4 hours
Price :₹1,093
Level :Beginner
Learn Type :Certification
Introduction to Regression in R

Two of the most widely used statistical models are linear regression and logistic regression. These models are the key to unlocking data sets' secrets. This course will show you how to solve simple linear and logistic regressions. This course will teach you how to analyze relationships between variables using real-world data. This covers motor insurance claims, Taiwan house prices, fish sizes, …

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3
Intermediate Regression in R
DataCamp Course via DataCamp
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Duration : 4 hours
Price :₹1,093
Level :Intermediate
Learn Type :Certification
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 …

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4
Sampling in R
DataCamp Course via DataCamp
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Duration : 4 hours
Price :₹1,093
Level :Intermediate
Learn Type :Certification
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 …

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5
Hypothesis Testing in R
DataCamp Course via DataCamp
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Duration : 4 hours
Price :₹1,093
Level :Intermediate
Learn Type :Certification
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 …

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6
Statistics Fundamentals with R
DataCamp Course via DataCamp
learnpath-img
Duration : 20 hours
Price :₹1,093
Level :Beginner
Learn Type :Certification
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 …

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