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Data Science Intensive

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From Springboard: “Prepare for a Data Science career with this Python-based online course. For people with math and programming backgrounds. What you’ll learn: Becoming a senior data scientist takes more than just mastering skills like statistics, data wrangling and visualization. You will need to develop one area of technical analytic expertise (e.g. machine learning), while being conversant in many others. By the end of the course, you’ll be ready to: … Continue Reading

Foundations of Data Science

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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

Data Analytics for Business

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From Springboard: “Learn to make data-driven business decisions. Master the skills needed to become a business analyst. What you’ll learn: Data informs every element of modern business. Top business analysts employ a structured approach to solve any business problem – state hypotheses, seek relevant data, run analyses and build models to test the hypotheses, and present a recommendation. By the end of the course, you’ll: Learn to think like a … Continue Reading

Introduction to Programming with MATLAB

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From Coursera: “This course teaches computer programming to those with little to no previous experience. It uses the programming system and language called MATLAB to do so because it is easy to learn, versatile and very useful for engineers and other professionals. MATLAB is a special-purpose language that is an excellent choice for writing moderate-size programs that solve problems involving the manipulation of numbers. The design of the language makes it … Continue Reading

Statistics with R Capstone

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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

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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

Linear Regression and Modeling

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This is course 3 of 5 in the Statistics with R Specialization. From Coursera: “This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores? Can we predict the test score for a child based on certain characteristics … Continue Reading

Inferential Statistics

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This is course 2 of 5 in the Statistics with R Specialization. From Coursera: “This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data examples, you will learn to report estimates of quantities in … Continue Reading

Introduction to Probability and Data

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This is course 1 of 5 in the Statistics with R Specialization. From Coursera: “This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes’ rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will … Continue Reading

Coursera Statistics with R Specialization

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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