Tag: statistics

Foundations of Data Science


From Springboard: “Launch your Data Science career with this introductory course. Build a solid foundation in R and start exploring data-related careers. What you’ll learn: Becoming a data scientist isn’t easy. It takes more than just mastering skills like statistics, data wrangling, and visualization. You need to learn how to ask the right questions and weave a story around your findings. By the end of the course, you’ll: Build a … Continue Reading

Statistics with R Capstone


This is course 5 of 5 in the Statistics with R Specialization. From Coursera: “The capstone project will be an analysis using R that answers a specific scientific/business question provided by the course team. 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 … Continue Reading

Bayesian Statistics


This is course 4 of 5 in the Statistics with R Specialization. From Coursera: “This course describes Bayesian statistics, in which one’s inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes’ rule to transform prior probabilities into posterior probabilities, and be introduced to the underlying theory and perspective of the Bayesian paradigm. The course will apply Bayesian methods to several practical problems, to show … Continue Reading

Coursera Statistics with R Specialization


From Coursera: “In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and … Continue Reading


2017 Event:  June 20th-24th – Berkeley, CA Accepted Talks and Workshops for 2017 Videos from JuliaCon 2016  

Data Analysis Tools


This course is 2 of 5 in the Data Analysis and Interpretation Specialization. From Coursera: “In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and … Continue Reading

DataCamp – Foundations of Inference


From DataCamp: “One of the foundational aspects of statistical analysis is inference, or the process of drawing conclusions about a larger population from a sample of data. Although counter intuitive, the standard practice is to attempt to disprove a research claim that is not of interest. For example, to show that one medical treatment is better than another, we can assume that the two treatments lead to equal survival rates only … Continue Reading

DataCamp – Statistical Thinking in Python (Part 2)


From DataCamp: “After completing Statistical Thinking in Python (Part 1), you have the probabilistic mindset and foundational hacker stats skills to dive into data sets and extract useful information from them. In this course, you will do just that, expanding and honing your hacker stats toolbox to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing. You will work with real data sets as you learn, culminating … Continue Reading

DataCamp – Statistical Thinking in Python (Part 1)


From DataCamp: “After all of the hard work of acquiring data and getting them into a form you can work with, you ultimately want to make clear, succinct conclusions from them. This crucial last step of a data analysis pipeline hinges on the principles of statistical inference. In this course, you will start building the foundation you need to think statistically, to speak the language of your data, to understand what … Continue Reading

DataCamp – Visualizations with ggplot2 (Part 2)


Part 1 From DataCamp: “This ggplot2 tutorial builds on your knowledge from the first course to produce meaningful explanatory plots. We’ll explore the last four optional layers. Statistics will be calculated on the fly and we’ll see how Coordinates and Facets aid in communication. Publication quality plots will be produced directly in R using the Themes layer. We’ll also discuss details on data visualization best practices with ggplot2 to help make … Continue Reading