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Multiple Regression Analysis with Excel
by Diego Fernandez- 3.9
4.5 hours on-demand video
Learn multiple regression analysis main concepts from basic to expert level through a practical course with Excel. Full Course Content Last Update 09/2019 Learn multiple regression analysis through a practical course with Microsoft Excel® using stocks, rates, prices and macroeconomic historical data. Review multiple regression coefficients through their values, standard errors, t statistics and regression coefficients p-values....
$11.99
Introduction to Bioconductor
by Rafael Irizarry , Michael Love , Vincent Carey- 0.0
4 Weeks
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. 1x: Statistics and R for the Life Sciences By registering as an online learner in an HX course, you will also participate in research about learning....
$149
Introduction to Recommender Systems: Non-Personalized and Content-Based
by Joseph A Konstan , Michael D. Ekstrand- 4.5
Approx. 23 hours to complete
This course, which is designed to serve as the first course in the Recommender Systems specialization, introduces the concept of recommender systems, reviews several examples in detail, and leads you through non-personalized recommendation using summary statistics and product associations, basic stereotype-based or demographic recommendations, and content-based filtering recommendations. Summary Statistics I...
Learn Machine Learning From Scratch
by Shokal Shah- 2.8
37 mins on-demand video
this course will help to gain advance technique in machine learning....
$9.99
Master statistics & machine learning: intuition, math, code
by Mike X Cohen- 4.7
38 hours on-demand video
A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB. If you want to make yourself a future-proof employee, employer, data scientist, or researcher in any technical field -- ranging from data scientist to engineering to research scientist to deep learning modeler -- you'll need to know statistics and machine-learning....
$13.99
Introduction to Linear Models and Matrix Algebra
by Rafael Irizarry , Michael Love- 0.0
4 Weeks
Throughout the course we will use the R programming language to perform matrix operations. 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. 1x: Statistics and R for the Life Sciences...
$149
Case Studies in Functional Genomics
by Rafael Irizarry , Michael Love , Vincent Carey- 0.0
5 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
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Inferential Statistical Analysis with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.6
Approx. 19 hours to complete
At the end of each week, learners will apply what they’ve learned using Python within the course environment. This course utilizes the Jupyter Notebook environment within Coursera. The Python Statistics Landscape Course Syllabus Meet the Course Team! The Importance of Good Research Questions for Sound Inference Course Feedback...
Data Management and Analysis with Stata.
by Ihsan Ullah- 4.6
6 hours on-demand video
Note: The course is COMPLETE now. The research shows that, and this course is not an exception, some students do not complete the entire course. Therefore, quitting in the first half of the course will deprive you of the intended benefits. Captions: Each video/lecture is accompanied by accurate captions to enhance your comprehension of the course contents....
$9.99
Power and Sample Size for Multilevel and Longitudinal Study Designs
by Albert Ritzhaupt- 4.4
Approx. 24 hours to complete
The goal of the course is to teach and disseminate methods for accurate sample size choice, and ultimately, the creation of a power/sample size analysis for a relevant research study in your professional context. The final course project is a peer-reviewed research study you design for future power or sample size analysis....