Search result for Data analysis and statistical inference Online Courses & Certifications
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Inferential Statistics
by Mine Çetinkaya-Rundel- 4.8
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Approx. 17 hours to complete
This course covers commonly used statistical inference methods for numerical and categorical data. The course introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results for both categorical and numerical data Sampling Variability and CLT Week 1 Suggested Readings and Practice Exercises Inference and Significance Data Analysis Project...
Introduction to Probability and Data with R
by Mine Çetinkaya-Rundel- 4.7
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Approx. 14 hours to complete
A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. Exploratory Data Analysis and Introduction to Inference Exploratory Data Analysis and Introduction to Inference Project...
Statistical Inference and Modeling for High-throughput Experiments
by Rafael Irizarry , Michael Love- 0.0
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4 Weeks
A focus on the techniques commonly used to perform statistical inference on high throughput data. In this course you’ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. Data Analysis for Life Sciences: 3x: Statistical Inference and Modeling for High-throughput Experiments...
$149
Statistics with R Capstone
by Merlise A Clyde , Colin Rundel , David Banks , Mine Çetinkaya-Rundel- 4.6
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Approx. 6 hours to complete
A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the previous courses, including exploratory data analysis through data visualization and numerical summaries, statistical inference, and modeling as well as interpretations of these results in the context of the data and the research question....
Statistical Inference
by Brian Caffo, PhD , Roger D. Peng, PhD , Jeff Leek, PhD- 4.2
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Approx. 54 hours to complete
There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. After taking this course, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data. Course Book: Statistical Inference for Data Science...
Population Health: Responsible Data Analysis
by Mar Rodriguez Girondo , Jelle Goeman , Saskia le Cessie- 4.6
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Approx. 21 hours to complete
In this course, we will discuss data analysis from a responsible perspective, which will help you to extract useful information from data and enlarge your knowledge about specific aspects of interest of the population. Knows the pros and cons of statistical methods and can choose the appropriate data analysis approach in common health related problems....
Data Analysis and Visualization
by Peter Baumgartner , Brittany O'Dea- 4.3
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Approx. 11 hours to complete
By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. It begins with common hurdles that obstruct adoption of a data-driven culture before introducing data analysis tools (R software, Minitab, MATLAB, and Python)....
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Advanced Trading Analysis with R
by Diego Fernandez- 2.6
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5.5 hours on-demand video
Estimate bootstrap population mean statistical inference percentile confidence interval and two tails test percentile probability value. It’s designed for advanced trading analysis knowledge levels and a basic understanding of R statistical software is useful but not required. Estimate bootstrap population mean statistical inference percentile confidence interval and two tails test percentile probability value....
$12.99
Data Science in Real Life
by Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD- 4.4
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Approx. 7 hours to complete
Describe possible pitfalls when pulling / assembling data and learn solutions for managing data pulls. Challenge statistical modeling assumptions and drive feedback to data analysts Get a glimpse into a day in the life of a data analysis manager. The course will be taught at a conceptual level for active managers of data scientists and statisticians....
High-Dimensional Data Analysis
by Rafael Irizarry , Michael Love- 0.0
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4 Weeks
If you’re interested in data analysis and interpretation, then this is the data science course for you. Specifically, we will describe the principal component analysis and factor analysis and demonstrate how these concepts are applied to data visualization and data analysis of high-throughput experimental data. 3x: Statistical Inference and Modeling for High-throughput Experiments...
$149
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