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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.
Master psychology research methods, from ethical principles to experimental design and statistical analysis, preparing you for advanced studies and real-world applications in the field.
Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.
Learn the Payment 101, Payment Risk and Fraud 101. Learn common methods and prevention
SPSS primer - learn the fundamentals of statistical analysis with SPSS.
In-depth course to master Apache Spark Development using Scala for Big Data (with 30+ real-world & hands-on examples)
Data Science by IITian -Data Science+R Programming ,Data analysis, Data Visualization, Data Pre-processing etc
Unlocking Insights through Data: Mastering Analytics and Visualization for In-Demand Tech Proficiency
Unlock the power of Excel to utilize its analytical tools from Vlookup to Pivot Table - no matter your experience level
In this course you will gain an overview clinical trial designs, determine the numbers of patients needed and conduct statistical analyses.
Introduction to Programming Language R. Tools for Data Science, Data Analysis and Statistical Analysis. RStudio.
Learn advanced statistical analyses in R: correlations, t-tests, ANOVA, regression, and reliability indicators. Step-by-step guidance for parametric and non-parametric tests, with assumption checks and result interpretation.
Data Science, Business Analytics, machine learning, Statistics, Data Analyst, Business Analyst, Data Analysis
Start your career as Data Scientist from scratch. Learn Data Science with Python. Predict trends with advanced analytics
10x Microsoft Power BI’s capabilities by incorporating Python’s flexible and powerful functionality
This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.
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