Courses tagged with "Statistics and Data Analysis" (99)

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Starts : 2015-12-07
No votes
Coursera Free Closed [?] Computer Sciences English Information Statistics and Data Analysis Tech & Design

Learn how to gather, clean, and manage data from a variety of sources. This is the third course in the Johns Hopkins Data Science Specialization.

Starts : 2015-02-20
22 votes
Coursera Free Computer Sciences English Information Statistics and Data Analysis Tech & Design

Programming-oriented course on effectively using modern computers to solve scientific computing problems arising in the physical/engineering sciences and other fields. Provides an introduction to efficient serial and parallel computing using Fortran 90, OpenMP, MPI, and Python, and software development tools such as version control, Makefiles, and debugging.

Starts : 2015-03-30
29 votes
Coursera Free Life Sciences English Energy & Earth Sciences Engineering Statistics and Data Analysis

In this course you will learn the basics of the life-cycle assessment (LCA) method for holistic environmental analysis of products, technologies, and systems. LCA sheds light on the environmental implications of the consumption and behavioral choices we all make on a daily basis.

Starts : 2016-02-29
No votes
Coursera Free Closed [?] English Social Sciences Statistics and Data Analysis

Learn about inferential statistics, and how they are used and misused in the social and behavioral sciences. Learn how to critically evaluate the use of inferential statistics in published research and how to generate these statistics yourself, using freely available statistical software.

Starts : 2014-06-30
95 votes
Coursera Free Closed [?] Computer Sciences English Computer Science Computer Science Information Software Engineering Statistics and Data Analysis Systems & Security

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

Starts : 2015-12-07
No votes
Coursera Free Closed [?] English Biology & Life Sciences Computer Science Information Statistics and Data Analysis Tech & Design Theory

The basic biology of modern genomics and the experimental tools used for measurement. This is the first course in the Genomic Big Data Science Specialization.

Starts : 2015-10-05
No votes
Coursera Free Closed [?] English Artificial Intelligence Computer Science Humanities Information Statistics and Data Analysis Tech & Design

This course provides an introduction to the field of Natural Language Processing, including topics like Language Models, Parsing, Semantics, Question Answering, and Sentiment Analysis.

Starts : 2015-04-28
No votes
Coursera Free English Mathematics Social Sciences Statistics and Data Analysis

This course exposes students to the logic of statistical reasoning and its application in the quantitative social sciences. It is meant as a thorough but accessible introduction to the topics of descriptive statistics, probability theory, and statistical inference with hands-on exercises.

Starts : 2015-07-13
No votes
Coursera Free Closed [?] English Health & Society Medicine Statistics and Data Analysis

Learn to assess data from clinical trials by performing systematic reviews and meta-analyses.

4 votes
Saylor.org Free Closed [?] Computer Sciences Computer Science Math and Science Mathematics Statistics Statistics and Data Analysis

If you invest in financial markets, you may want to predict the price of a stock in six months from now on the basis of company performance measures and other economic factors. As a college student, you may be interested in knowing the dependence of the mean starting salary of a college graduate, based on your GPA. These are just some examples that highlight how statistics are used in our modern society. To figure out the desired information for each example, you need data to analyze. The purpose of this course is to introduce you to the subject of statistics as a science of data. There is data abound in this information age; how to extract useful knowledge and gain a sound understanding in complex data sets has been more of a challenge. In this course, we will focus on the fundamentals of statistics, which may be broadly described as the techniques to collect, clarify, summarize, organize, analyze, and interpret numerical information. This course will begin with a brief overview of the discipline of stat…

Starts : 2015-01-19
307 votes
Coursera Free Popular Closed [?] Computer Sciences English Artificial Intelligence Computer Science Statistics and Data Analysis

Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.

106 votes
Coursera Free Closed [?] Computer Sciences English Artificial Intelligence Computer Science Statistics and Data Analysis

Why write programs when the computer can instead learn them from data? In this class you will learn how to make this happen, from the simplest machine learning algorithms to quite sophisticated ones. Enjoy!

Starts : 2015-03-25
31 votes
Coursera Free Social Sciences English Information Statistics and Data Analysis Tech & Design

Learn how advances in geospatial technology and analytical methods have changed how we do everything, and discover how to make maps and analyze geographic patterns using the latest tools.

Starts : 2015-07-13
99 votes
Coursera Free Closed [?] Computer Sciences English Biology & Life Sciences Health & Society Mathematics Statistics and Data Analysis

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 programming are useful for the class, but not required.

Starts : 2014-10-06
32 votes
Coursera Free Closed [?] Social Sciences English Statistics and Data Analysis

How can we know if the differences in wages between men and women are caused by discrimination or differences in background characteristics? In this course we look at causal effects as opposed to spurious relationships. We will discuss how they can be identified in the social sciences using quantitative data, and describe how this can help us understand social mechanisms.

Starts : 2015-01-05
117 votes
Coursera Free Closed [?] Computer Sciences English Artificial Intelligence Biology & Life Sciences Computer Science Computer Science Information Software Engineering

An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research.

Starts : 2012-10-01
95 votes
Coursera Free Closed [?] Computer Sciences English Artificial Intelligence Computer Science Statistics and Data Analysis

Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. We'll emphasize both the basic algorithms and the practical tricks needed to get them to work well.

Starts : 2013-03-25
89 votes
Coursera Free Computer Sciences English Statistics and Data Analysis

With existing data, you will develop skills in data analysis and basic statistics by exploring your own research question.

Starts : 2015-02-09
No votes
Coursera Free Closed [?] English Computer Science Information Software Engineering Statistics and Data Analysis Tech & Design

Learn the basic concepts of data mining and dive deep into pattern discovery methods and their applications.

Starts : 2015-10-05
No votes
Coursera Free English Education Information Statistics and Data Analysis Teacher Professional Development Tech & Design

Everyone in education has questions – Practical Learning Analytics is about answering them. To be practical, we’ll focus on data every university records; to keep things interesting, we’ll examine questions raised by many audiences; to ensure impact, we’ll provide realistic data and example code.

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