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UX and Interface Design for Embedded Systems
by Bruce Montgomery, PhD, PMP- 0.0
Approx. 12 hours to complete
This course can also be taken for academic credit as ECEA 5346, part of CU Boulder’s Master of Science in Electrical Engineering degree. Review of Course Projects UX Research UX Research UX Research Methods UX Research UX Statistics and Measures Course Wrap-up...
SPSS Essentials: Statistics made easy
by Tendayi Viki- 4.4
2.5 hours on-demand video
Learn how to analyse your research data with SPSS. This course will show you how to pick the right statistical test by answering four simple questions about your data and your research methodology. Next you'll learn how to use SPSS to obtain descriptive statistics such as the mean, median, mode and frequencies....
$24.99
Data Analysis in Social Science—Assessing Your Knowledge
by Esther Duflo , Sara Fisher Ellison- 0.0
4 Weeks
310x - Data Analysis for Social Scientists , a statistics and data analysis course that will introduce you to the essential notions of probability and statistics. Come back to this course and take the exam to earn your verified certificate that will count toward the MicroMasters credential in Statistics and Data Science....
$300
Advanced Bioconductor
by Rafael Irizarry , Michael Love- 0.0
4 Weeks
Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts....
$149
Studying Cities: Social Science Methods for Urban Research
by Laura Neijenhuis , Jan Fransen , Dorcas Nthoki , Rick Wolff , Maria Zwanenburg- 4.7
Approx. 7 hours to complete
During the course you will gain more insight in the different steps of the research cycle, and build a firm foundation for your own future research endeavors. The course starts with introductory lectures on the problem statement, research objective, empirical cycle and the research question. Research Objective / Empirical Cycle Research Question...
Principles, Statistical and Computational Tools for Reproducible Data Science
by Curtis Huttenhower , John Quackenbush , Lorenzo Trippa , Christine Choirat- 0.0
8 Weeks
The course content will blend video lectures, case studies, peer-to-peer engagements and use of computational tools and platforms (such as R/RStudio, and Git/Github), culminating in a final presentation of a final reproducible research project. We look forward to seeing you in this course and the research you do in the future!...
$99
R: Data Analysis with R - Step-by-Step Tutorial!: 3-in-1
by Packt Publishing- 4.4
5 hours on-demand video
Then this is the perfect course for you! This video course provides the steps you need to carry out classification and clustering with R/RStudio software. This video course will demonstrate the steps for analyzing unstructured data with the R/R Studio software. At the end the video course you’ll have mastered obtaining and visualizing data with R....
$12.99
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Quantitative Trading Analysis with Python
by Diego Fernandez- 4.2
7.5 hours on-demand video
Learn quantitative trading analysis from basic to expert level through practical course with Python programming language Full Course Content Last Update 09/2018 Calculate main trading statistics such as net trading profit and loss, maximum drawdown and equity curve. And it is necessary for experienced investors quantitative trading research and development....
$9.99
Basics of R Programming Language for Buddies
by Prof. M. NAGABHUSHANA RAO , Team, K L UNIVERSITY - INDIA- 3.7
2.5 hours on-demand video
Imbibe R like a passion get knowledge on Data Frames , Basic Statistics and Graphs Hi all this course is designed for elementary level students in R who want to enjoy in learning R. This course is designed with simple examples for beginners and its created with my young research team who has worked on the material....
$11.99
Statistical Inference and Modeling for High-throughput Experiments
by Rafael Irizarry , Michael Love- 0.0
4 Weeks
In this course you’ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts....
$149