Search result for Statistical research methods Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 71 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Deep Learning Regression with Python
by Diego Fernandez- 3.4
-
![]()
![]()
![]()
![]()
![]()
4 hours on-demand video
Select relevant predictor features subset through Student t-test and ANOVA F-test univariate filter methods and extract predictor features transformations through principal component analysis. It is also essential for academic careers in data mining, applied statistical learning or artificial intelligence....
$9.99
Science Literacy
by Dr. Claire Scavuzzo- 4.3
-
![]()
![]()
![]()
![]()
![]()
Approx. 23 hours to complete
Research Design 1 Research Design 2 Research Design 3 Research Design 4 Drag and Drop Activity: Research Design Case Study How Scientists Use Statistics, Samples, and Probability to Answer Research Questions How to avoid statistical errors When statistical significance is not practically significant Watch and Reflect: Statistical vs Practical Significance Drag and Drop Activity: Practical vs Statistical Significance...
Python: Python Programming for Artificial Intelligence (1)
by DATAI TEAM- 4
-
![]()
![]()
![]()
![]()
![]()
8.5 hours on-demand video
Statistical Learning Methods Methods vs Functions...
$12.99
Inferential Statistical Analysis with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 19 hours to complete
During these lab-based sessions, learners will work through tutorials focusing on specific case studies to help solidify the week’s statistical concepts, which will include further deep dives into Python libraries including Statsmodels, Pandas, and Seaborn. Inferential Statistical Analysis with Python Guidelines The Importance of Good Research Questions for Sound Inference...
Python: Step into the World of Machine Learning
by Packt Publishing- 2.9
-
![]()
![]()
![]()
![]()
![]()
6 hours on-demand video
Combs is an experienced data scientist, strategist, and developer with a background in financial data extraction, natural language processing and generation, and quantitative and statistical modeling. He has developed and applied novel statistical models of machine learning to topics such as accounting for truck traffic on highways, travel time outlier detection, and other areas....
$12.99
Computer Vision In Python! Face Detection & Image Processing
by Emenwa Global- 4.1
-
![]()
![]()
![]()
![]()
![]()
11 hours on-demand video
Machine vision is the process of applying a range of technologies & methods to provide imaging-based automatic inspection, process control and robot guidance in industrial applications. Finally, pattern recognition is a field which uses various methods to extract information from signals in general, mainly based on statistical approaches and artificial neural networks....
$11.99
Tensorflow and Keras For Neural Networks and Deep Learning
by Minerva Singh- 4.4
-
![]()
![]()
![]()
![]()
![]()
7.5 hours on-demand video
Over the course of my research I realized almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic and use data science interchangeably with machine learning. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts....
$12.99
Related searches
Learn Data Science Deep Learning, Machine Learning NLP & R
by Cinnamon TechX- 4.5
-
![]()
![]()
![]()
![]()
![]()
70.5 hours on-demand video
Natural language processing includes many different techniques for interpreting human language, ranging from statistical and machine learning methods to rules-based and algorithmic approaches. R possesses an extensive catalog of statistical and graphical methods. It includes machine learning algorithms, linear regression, time series, statistical inference to name a few. Statistical inference...
$12.99
R: Neural Nets and CNN Architecture in R - Masterclass!
by Packt Publishing- 3.6
-
![]()
![]()
![]()
![]()
![]()
6 hours on-demand video
Arun Krishnaswamy has over 18 years of experience with large datasets, statistical methods, machine learning and software systems. Rezaul Karim is a Research Scientist at Fraunhofer FIT, Germany. Previously, he worked as a Research Assistant at the database lab, Kyung Hee University, Korea. His research interests include machine learning, deep learning, the semantic web, linked data, big data, and bioinformatics....
$11.99
Combining and Analyzing Complex Data
by Richard Valliant, Ph.D.- 4.2
-
![]()
![]()
![]()
![]()
![]()
Approx. 10 hours to complete
The course will also cover the basics of record linkage and statistical matching—both of which are becoming more important as ways of combining data from different sources. Impact of Research on Innovation, Competition and Science...
Previous
