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Learn Cluster Analysis, earn certificates with free online courses from UC Irvine, UC San Diego, University of Illinois, IIT Kanpur and other top universities around the world. Read reviews to decide if a class is right for you.
New to machine learning? This is the place to start: Linear regression, Logistic regression & Cluster Analysis
Learn to use R software for data analysis, visualization, and to perform dozens of popular data mining techniques.
Learn to use R software to conduct PCAs, MDSs, cluster analyses, EFAs and to estimate SEM models.
Get the essential machine learning skills and use them in real life situations
Mastering advanced statistical analyses in R: from ANCOVA to logistic regression, multidimensional scaling, factor analysis, cluster analysis, and discriminant analysis. Gain expertise in sophisticated data scrutiny techniques.
Explore data analytics fundamentals, from Python basics to advanced techniques. Learn data structures, wrangling, and exploratory analysis to extract meaningful insights from real-world datasets.
Hone your SPSS skills to perfection - grasp the most high level data analysis methods available in the SPSS program.
Build your mathematics and statistics foundations strongly & ensure your Data science fundas are in place!
Learn Practical Linear Regression in R - Basics of machine learning, deep learning, statistics & Artificial Intellegence
Harness Power of R for unsupervised machine Learning (k-means, hierarchical clustering) - With Practical Examples in R
Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.
Master advanced data visualization and analysis techniques in Power BI, from statistical fundamentals to AI-driven insights, enabling effective data-driven decision making through practical applications and real-world scenarios.
This video teaches Data Mining and its key functions and concepts with a variety of demonstrations & examples to help you get started on the right foot.
Learn quantitative marketing research techniques, including value estimation, conjoint analysis, and market segmentation. Gain practical skills in survey design, data interpretation, and ethical considerations for informed decision-making.
Learn how to design a quantitative market research project, and implement specific methods, interpret data and come up with marketing decisions.
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