Catalog Search Results
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Get a basic introduction to the careers, tools, and techniques of modern data science.
Data science is driving a world-wide revolution that touches everything from business automation to social interaction. It?s also one of the fastest growing, most rewarding careers, employing analysts and engineers around the globe. This course provides an accessible, nontechnical overview of the field, covering the vocabulary, skills, jobs, tools, and techniques...
Author
Publisher
linkedin.com
Pub. Date
2021.
Language
English
Description
Do you work in data analysis? Learn how to mine data using R. Topics include dimensionality reduction, clustering, classification, association analysis, and more.
Data science continues to grow in sophistication and demand at an exponential rate. Data mining is the area of data science that focuses on finding actionable patterns in large and diverse datasets: clusters of similar customers, trends over time that can only be spotted after disentangling...
Author
Publisher
linkedin.com
Pub. Date
2018.
Language
English
Description
Learn how the dramatically increased quantities of data?and the methods for analyzing this data?are changing the theory and practice of healthcare.
Data analytics plays an increasingly pivotal role in how we go about managing our healthcare systems and our own personal health. Designed for anyone with a stake in our healthcare system, this nontechnical course explores a variety of ways to apply data science to medicine and public health. Data scientist...
Author
Publisher
linkedin.com
Pub. Date
2012.
Language
English
Description
Discover how to create compelling data visualizations using Processing, an open-source drawing and development environment.
Start communicating ideas and diagramming data in a more interactive way. In this course, author Barton Poulson shows how to read, map, and illustrate data with Processing, an open-source drawing and development environment. On top of a solid introduction to Processing itself, this course investigates methods for obtaining and...
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Learn how to do fast and friendly data analysis with jamovi. See how to use this open-source application to analyze data, reproduce analyses, and collaborate with colleagues.
jamovi is a free, open-source data analysis application that bridges the gap between the freedom and power of R and the accessibility of SPSS. In this course, learn how to do data analysis that's both fast and friendly with jamovi. Instructor Barton Poulson demonstrates how...
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Get up and running with SPSS Statistics. Learn how to work with the program to make data visualizations, calculate descriptive statistics, and more.
SPSS Statistics is a statistics and data analysis program for businesses, governments, research institutes, and academic organizations. In this course, Barton Poulson takes a practical, visual, and non-mathematical approach to SPSS Statistics, explaining how to use the popular program to analyze data...
Author
Publisher
linkedin.com
Pub. Date
2017.
Language
English
Description
Explore the profound ways in which data science affects the world of sports and sports management, as well as the larger effect it has on audiences and associated industries.
A passion for sports can turn an ordinarily math-averse individual into an amateur statistician, ready to back up their pick for best clutch hitter with hard data. If your fascination with sports has piqued an interest in data and statistics, getting a general understanding...
Author
Publisher
linkedin.com
Pub. Date
2017.
Language
English
Description
Get a nontechnical overview of how data science can benefit the entertainment industries. Discover tools to set prices, find audiences, and create more engaging experiences.
Music, theater, dance, and film may not seem like data-driven businesses, but they can benefit from data science just as much as ecommerce or finance. Join data science professor, researcher, and consultant Barton Poulson as he explores the fascinating ways in which the media...
Author
Publisher
linkedin.com
Pub. Date
2020.
Language
English
Description
Learn how to model data in R, one of the most important tools available for data analysis, machine learning, and data science.
Trying to locate meaning and direction in big data is difficult. R can help you find your way. R is a statistical programming language to analyze and visualize the relationships between large amounts of data. It's one of the most important tools available for data analysis, machine learning, and data science. This training...
Author
Publisher
linkedin.com
Pub. Date
2018.
Language
English
Description
Learn how data science changes the way that education is planned, carried out, and evaluated.
Educational records and standardized tests offer a treasure trove of data about who our students are and what they actually need from the education system. Data science can help educators glean valuable insights from this deluge of information. In this brief course, data scientist and professor Barton Poulson provides a nontechnical overview of how data...
Author
Publisher
linkedin.com
Pub. Date
2017.
Language
English
Description
Discover how consumer data can be analyzed to learn about customers and impact sales.
How does technology constantly gather data from the world of commerce around us? What can you derive from the data found in retail sales and consumer spending? This course explores the crucial ways in which businesses are affected by technology and how companies are harnessing ubiquitous data to improve business. Join Barton Poulson as he takes you through how data...
Author
Publisher
linkedin.com
Pub. Date
2018.
Language
English
Description
Explore the profound ways in which data science affects how government and our political process works.
Are you interested in enhancing your understanding of how government and politics actually function? If so, this brief course can help by exploring the profound ways in which data science affects how our government and political process works. Data scientist and professor Barton Poulson provides a nontechnical overview�of how data science functions...
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Learn how anyone, in any industry, can speak the language of data analysis. Find out how to prepare data, explore it visually, and describe it using statistical methods.
Data analysis isn?t just for specialists who need to make sense of massive datasets. Decision-makers in every industry can benefit from a basic understanding of the goals and concepts of applied data analysis. In this course, join Barton Poulson as he focuses on the fundamentals...
Author
Publisher
linkedin.com
Pub. Date
2020.
Language
English
Description
Learn how to wrangle data and create meaningful visualizations with R, the programming language powering modern data science.
Trying to locate meaning and direction in big data is difficult. R can help you find your way. R is a statistical programming language to analyze and visualize the relationships between large amounts of data. This training series provides a thorough introduction to R, with detailed instruction for installing and navigating...
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Learn why it's absolutely crucial for AI-related data science work to be transparent, explainable, accountable, and ethical in its design and execution.
Artificial intelligence (AI) offers businesses the potential for a dramatic increase in functionality and profitability, but it can also spark an array of complex ethical, legal, and social challenges. In this nontechnical, conceptually oriented course, Barton Poulson digs into the hazards of AI,...
Author
Publisher
linkedin.com
Pub. Date
2016.
Language
English
Description
Get a first look at Julia, the powerful and fast programming language for data science and analytics.
Get a first look at Julia, the powerful and fast programming language for data science and analytics. Julia is growing quickly in popularity and many data science practitioners are interested in learning more. This fast-paced course provides a general introduction to the language's functionality, power, and limitations. Discover how Julia compares...
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Explore big data and how it works. Learn about big data's relationship to AI, data science, social media, and the Internet of Things (IoT).
The hype about big data may have peaked several years ago, but big data is far from gone. Instead it forms the foundation for some of today's most exciting technologies. Artificial intelligence (AI), machine learning, and data science rely on big data, or data that?by virtue of its velocity, volume, or variety?can't...
Author
Publisher
linkedin.com
Pub. Date
2018.
Language
English
Description
Use data science to make a difference. Learn how data science can help nonprofits understand the communities they serve, fulfill their mission, and assess their impact.
Learn how to use data science to do good. Data science can be a huge help to nonprofits that are struggling to identify donors, understand their communities, evaluate their impact, and be more productive. In this course, instructor, data scientist, and entrepreneur Barton Poulson...
19) Learning R
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Learn the basics of R, the free, open-source language for data science. Discover how to use R and RStudio for beginner-level data modeling, visualization, and statistical analysis.
If you want to participate in the data revolution, you need the right tools and skills. R is a free, open-source language for data science that is among the most popular platforms for professional analysts. Learn the basics of R and get started finding insights from your...
Author
Publisher
linkedin.com
Pub. Date
2016.
Language
English
Description
Get started in data mining. Discover data mining techniques such as data reduction, clustering association analysis, and more, with data mining tools like R and Python.
All data science begins with good data. Data mining is a framework for collecting, searching, and filtering raw data in a systematic matter, ensuring you have clean data from the start. It also helps you parse large data sets, and get at the most meaningful, useful information. This...
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