COURSERA

Quantitative Methods

Overview Discover the principles of solid scientific methods in the behavioral and social sciences. Join us and learn to separate sloppy science from solid research!This course will cover the fundamental principles of science, some history and philosophy of science, research designs, measurement, sampling and ethics. The course is comparable to a university level introductory course …

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Big Data Integration and Processing

Overview At the end of the course, you will be able to: *Retrieve data from example database and big data management systems*Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications*Identify when a big data problem needs data integration*Execute simple big data integration and …

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Comparing Genes, Proteins, and Genomes (Bioinformatics III)

Overview Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different. In the first half of the course, we will compare two short biological sequences, such as genes (i.e., short sequences of DNA) or proteins. We will encounter a …

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Intro to Analytic Thinking, Data Science, and Data Mining

Overview Welcome to Introduction to Analytic Thinking, Data Science, and Data Mining. In this course, we will begin with an exploration of the field and profession of data science with a focus on the skills and ethical considerations required when working with data. We will review the types of business problems data science can solve …

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Data Visualization and Communication with Tableau

Overview One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions …

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Applied Social Network Analysis in Python

Overview This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness. The third week will explore ways of …

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