track
Statistician in R
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Statistician in R
Unlock the Power of Statistics with R
Become a statistician and help solve real-world problems across industries by mastering statistical methods and tools in R. In this Track, you'll learn how to collect, analyze, and draw accurate conclusions from a wide variety of datasets. Gain hands-on experience in exploring and modeling data, interpreting results, and effectively communicating your findings.Essential Skills for a Statistician
Throughout the Track, you'll develop a strong foundation in key areas of statistics, including:- Probability theory and random variables
- Regression analysis and predictive modeling
- Sampling techniques and survey design
- Hypothesis testing and inference
- Experimental design and analysis
- Bayesian data analysis
- Factor analysis and latent variables
Solve Complex Problems with Real-World Data
Apply your statistical knowledge to tackle authentic challenges across business, engineering, and scientific domains. Learn to identify trends, make data-driven predictions, and provide actionable insights to stakeholders. By working with diverse datasets, you'll gain the practical experience needed to excel in a statistician role.Leverage R for Statistical Analysis
R is the go-to programming language for statisticians due to its extensive collection of statistical packages and tools. In this Track, you'll learn to utilize R's capabilities to streamline your workflow and perform advanced analyses. From data manipulation with dplyr to creating visualizations with ggplot2, you'll master the essential tools of the trade.Advance Your Career as a Statistician
Statisticians are in high demand across industries, with opportunities in finance, healthcare, technology, and more. By completing this Track, you'll have the skills and portfolio to:- Apply for statistician positions at top companies
- Collaborate with cross-functional teams to drive data-informed decisions
- Communicate statistical findings to both technical and non-technical audiences
- Contribute to cutting-edge research and innovation
- Advance your career with sought-after expertise
Cerințe preliminare
Nu există condiții preliminare pentru această pistăCourse
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.
Course
In this course, you'll learn about the concepts of random variables, distributions, and conditioning.
Course
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
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Learn to perform linear and logistic regression with multiple explanatory variables.
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Master sampling to get more accurate statistics with less data.
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Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.
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In this course you'll learn about basic experimental design, a crucial part of any data analysis.
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Learn survey design using common design structures followed by visualizing and analyzing survey results.
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In this course you will learn to fit hierarchical models with random effects.
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Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!
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Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.
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Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.
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Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.
Project
Explore habitat data using factor and survival analysis tools.
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Înscrie-te AcumAlătură-te 19 milioane de cursanți și începe Statistician in R chiar azi!
Creează-ți contul gratuit
sau
Continuând, acceptați Termenii și condițiile de utilizare, Politica de confidențialitate și faptul că datele dvs. sunt stocate în SUA.