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Learn Statistical Analysis, earn certificates with free online courses from Harvard, Stanford, University of Pennsylvania, University of Michigan and other top universities around the world. Read reviews to decide if a class is right for you.
Empower yourself to perform statistical tests using the Wolfram Language. Learn data summarization, visualization, and analysis techniques applicable to research papers and presentations.
Master applied Statistics with Python by solving real-world problems with state-of-the-art software and libraries
Time Series Analysis in Python: Theory, Modeling: AR to SARIMAX, Vector Models, GARCH, Auto ARIMA, Forecasting
Confidently Apply Statistical Concepts To Your Six Sigma Projects Using Minitab 17 - Get 11.0 PMI PDUs / SHRM PDCs
SPSS data analysis made easy. Become an expert in advanced statistical analysis with SPSS.
Beginners python data analytics : Data science introduction : Learn data science : Python data analysis methods tutorial
Increase Your Data Analytic Skills – Highly Valued And Sought After By Employers
A complete guide and use cases study for job seekers and beginners -- start career in SAS, Statistics and Data science
Apply data analysis skills to real-world datasets, covering collection, wrangling, exploration, visualization, and dashboard creation. Culminates in a comprehensive report showcasing proficiency with various tools and techniques.
Learn all the R skills you need to become a Professional and Certified R Programmer with this Complete Bootcamp
Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.
Learn A/B testing: including hypothesis testing, experimental design, and confounding variables.
Advanced data analysis in excel: Data Analysis tools (toolpak add-in) for statistics / solver for linear optimization
Explore forensic science's role in court, challenging common misconceptions and promoting critical thinking. Learn about DNA analysis, evidence interpretation, and potential pitfalls in forensic practices.
Learn about experimental design, and how to explore your data to ask and answer meaningful questions.
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