Johns Hopkins University

Medicine & Health
Mathematics, Statistics and Data Analysis
Course added: long ago

This course is about learning the fundamental computing skills necessary for effective data analysis. You will learn to program in R and to use R for reading data, writing functions, making informative graphs, and applying modern statistical methods. In this course you will learn how to program in R...

Johns Hopkins University

Medicine & Health
Mathematics, Statistics and Data Analysis
Course added: long ago

Learn about the most effective data analysis methods to solve problems and achieve insight. You have probably heard that this is the era of “Big Data”. Stories about companies or scientists using data to recommend movies, discover who is pregnant based on credit card receipts, or confirm the existence...

Johns Hopkins University

Biology & Life Sciences
Medicine & Health
Mathematics, Statistics and Data Analysis
Course added: long ago

This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and...

Johns Hopkins University

Engineering & Technology
Medicine & Health
Mathematics, Statistics and Data Analysis
Course added: long ago

Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples. This class presents fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples. Students having taken this class should be able...

PH207x is the online adaptation of material from the Harvard School of Public Health's classes in epidemiology and biostatistics. About this Course *Note - This is an Archived course*
This is a past/archived course. At this time, you can only explore this course in a self-paced fashion. Certain features...

Statistics One is a comprehensive yet friendly introduction to statistics. Statistics One is designed to be a comprehensive yet friendly introduction to fundamental concepts in statistics. Comprehensive means that this course provides a solid foundation for students planning to pursue more advanced courses...

An introduction to descriptive statistics, emphasizing critical thinking and clear communication. About this Course *Note - This is an Archived course*
This is a past/archived course. At this time, you can only explore this course in a self-paced fashion. Certain features of this course may not be active...

An introduction to probability, with the aim of developing probabilistic intuition as well as techniques needed to analyze simple random samples. About this Course *Note - This is an Archived course*
This is a past/archived course. At this time, you can only explore this course in a self-paced fashion...

An introduction to statistical ideas and methods commonly used to make valid conclusions based on data from random samples. About this Course *Note - This is an Archived course*
This is a past/archived course. At this time, you can only explore this course in a self-paced fashion. Certain features of...

University of Washington

Computer Science
Engineering & Technology
Mathematics, Statistics and Data Analysis
Course added: long ago

Join the data revolution. Companies are searching for data scientists. This specialized field demands multiple skills not easy to obtain through conventional curricula. Introduce yourself to the basics of data science and leave armed with practical experience extracting value from big data. #uwdatasci...

Get ready to analyze, visualize, and interpret data! Thought-provoking examples and chances to combine statistics and programming will keep you engaged and challenged.

We live in a time of unprecedented access to information. You'll learn how to use statistics to interpret that information and make decisions.

What does a data scientist do? In this course, we will survey the main topics in data science so you can understand the skills that are needed to become a data scientist!

Data is everywhere and so much of it is unexplored. Learn how to investigate and summarize data sets using R and eventually create your own analysis.

In this short course, learn the fundamentals of MapReduce and Apache Hadoop to start making sense of Big Data in the real world!

Data Scientists spend most of their time cleaning data. In this course, you will learn to convert and manipulate messy data to extract what you need.

Stanford University

Computer Science
Mathematics, Statistics and Data Analysis
Course added: long ago

Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. Machine Learning is now available in Coursera’s on demand format! To watch videos and complete assignments at your own pace, join the on demand course now at: https:...

Introductory Machine Learning course covering theory, algorithms and applications. Our focus is on real understanding, not just "knowing." About this Course This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big...

In this class, you will learn the basics of the PGM representation and how to construct them, using both human knowledge and machine learning techniques. What are Probabilistic Graphical Models?
Uncertainty is unavoidable in real-world applications: we can almost never predict with certainty what will...

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