Catalog Search Results
Author
Series
Pub. Date
Ã2013
Language
English
Description
"This tutorial on statistical analysis is designed to provide conceptual overviews of topics such as testing the reliability of the difference between the means of a treatment group and a control group, followed by demonstrations of how to handle the topic in Excel. Topics such as statistical power are crucial to understanding inferential analysis but history shows that they are very difficult to communicate through text. By using auditory explanations...
Author
Series
Pub. Date
Ã2013
Language
English
Description
"Statistical Analysis Using Excel Volume II LiveLessons provides over 9 hours of video instruction. Means, medians and modes are one thing. Multiple regression analysis is quite another! These training videos bring it into focus. Bestselling author and experienced consultant Conrad Carlberg provides the novice with 9+ hours of hands-on step-by-step video training on the intricacies that comprise statistical analysis. This Volume II series moves from...
3) Statistical analysis with Excel 2013: advanced skills : introducing two-sample hypothesis testing
Author
Series
Pub. Date
2014.
Language
English
Description
"Master statistical analysis with Excel 2013 on your own terms with this one-of-a-kind video training course. Big data is big business, and many professionals are turning to Excels data analysis tools to help them make sense of their organizational data. Now, you can learn the ins and outs of statistical analysis with Excel - from importing data to utilizing Pivot Tables - with Statistical Analysis with Excel 2013 Advanced Skills. Our instructors...
Author
Series
Pub. Date
2014.
Language
English
Description
"Learn statistical analysis with Excel 2013 on your own terms with this one-of-a-kind video training course. Big data is big business, and many professionals are turning to Excels data analysis tools to help them make sense of their organizational data. Now, you can learn the ins and outs of statistical analysis with Excel - from importing data to utilizing Pivot Tables - with Statistical Analysis with Excel 2013 Essentials. Our instructors provide...
Pub. Date
[2022]
Language
English
Description
Level up your Stata skills with one hundred and twenty professional-grade tips. This course comes bundled with years' worth of hard Stata knowledge in three hours! About This Video Useful data management, statistics, programming, and graphing tricks to use in Stata 120 professional and to-the-point tips for Stata within three hours Easy-to-use code files along with bite-sized videos in a modular approach In Detail Often, it takes years of experience...
Pub. Date
2004.
Language
English
Description
In Japan, Europe and Russia, birth rates are shrinking and the population is aging. In parts of India and Africa, more than half of the still growing population is under 25. The world population is now careening in two dramatically different directions. In this investigation of humanity's future, the first program reveals demographic trends, and the second program looks at China's booming economy and its growing impact on the environment.
Pub. Date
2010
Language
English
Description
"Great R: Level 1 will teach you the fundamentals of R, from the basics of using the software as a calculator through creating your own data objects and visualizing them. By the time you're through these lessons, you'll be able to load your own data into R and evaluate it using R's native functions. Throughout the course, you'll progressively learn to analyze data using R's fundamental data structures: vectors, data frames, arrays, lists, and factors....
Author
Pub. Date
2017
Language
English
Description
"Taught by anomaly detection expert Arun Kejariwal, the course provides those new to anomaly detection with the understanding necessary to choose the anomaly detection techniques most suited to their own application. While not required, a basic understanding of statistics, R, and Python will be helpful to get the most out of the class."--Resource description page.
Author
Pub. Date
2019.
Language
English
Description
"Data is everywhere, but now over 80% of data is spatial. Whether it's a coordinate, address, place name, or postal code, location information is at the heart of digital transformation. Spatial data science allows organizations to combine information, find patterns, make predictions and build insight--helping them to see data, challenges, and the world differently. Shannon Kalisky and Alberto Nieto explore how to combine industry-leading spatial analytics...
11) Nullology
Author
Pub. Date
2014.
Language
English
Description
"Nullology is the study of the empty set. Sets per se crop up all over the place in the relational world; the question is -- and it's a crucial one -- what happens if the set under consideration happens to be empty? For example, a relation contains a set of tuples: what about the possibility of a relation containing no tuples at all? Now, this particular possibiloty is reasonably familiar, because a relation with no tuples behaves much like a file...
Pub. Date
2018.
Language
English
Description
"R Programming is a skill you'll need if you want to work as a data analyst or a data scientist in your industry of choice ... [This course] will get you from a complete beginner in programming with R to a professional who can complete data manipulation on demand. It gives you the complete skillset to tackle any new data science project with confidence and critically assess your work and other people's."--Resource description page
Author
Pub. Date
2017.
Language
English
Description
"This video course consists of step-by-step introductions to analyze data and the basics of statistics. The first chapter focuses on the steps to analyze data and which summary statistics are relevant given the type of data you are summarizing. The second chapter continues by focusing on summarizing individual variables and specifically some of the reasons users need to summarize variables. This chapter also illustrates several procedures, such as...
Pub. Date
2022.
Language
English
Description
Learn how to use probability/statistics in all areas of computer science, data science, and machine learning. About This Video: A practical approach towards understanding the core concepts of probability and statistics. Focuses on the applications of these important mathematical concepts in data science, machine learning, and other areas. Understand why probability is the foundation of all modern machine learning. In Detail: The objective of this...
Author
Pub. Date
[2018]
Language
English
Description
"Data Science is an ever-evolving field. Data Science includes techniques and theories extracted from statistics, computer science, and machine learning. This video course will be your companion and ensure that you master various data mining and statistical techniques. The course starts by comparing and contrasting statistics and data mining and then provides an overview of the various types of projects data scientists usually encounter. You will...
Author
Pub. Date
2014
Language
English
Description
"Analyzing real-time data poses special kinds of challenges, such as dealing with large event rates, aggregating activities for millions of objects in parallel, and processing queries with subsecond latency. In addition, the set of available tools and approaches to deal with streaming data is currently highly fragmented. In this webcast, Mikio Braun will discuss building reliable and efficient solutions for real-time data analysis, including approaches...
Pub. Date
2022.
Language
English
Description
It takes years of experience to accumulate knowledge of the different graphs and plots. This knowledge and visualizing experiences are packed in modular form; be a part of it. About This Video Learn basic methods of data visualization, variations, and customizations of visualization methods Gain experience of different data visualization techniques and how to apply them Implement code files along with bite-sized videos in a modular and easy-to-use...
Author
Pub. Date
2017.
Language
English
Description
"This course lays out the common architecture, infrastructure, and theoretical considerations for managing an enterprise machine learning (ML) model pipeline. Because automation is the key to effective operations, you'll learn about open source tools like Spark, Hive, ModelDB, and Docker and how they're used to bridge the gap between individual models and a reproducible pipeline. You'll also learn how effective data teams operate; why they use a common...
Author
Pub. Date
2014
Language
English
Description
"This event introduces advanced math for business people --"just enough" to take advantage of open source frameworks -- including graph theory, abstract algebra, optimization, bayesian statistics, and more advanced areas of linear algebra. These are needed for supply chain optimization, pricing models, and anti-fraud, especially given the increased data rates coming from the Internet of Things. Paco Nathan discusses how to: Develop themes within the...
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