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141 Part-time Short courses in Statistics
Applied Statistical Modelling
The Applied Statistical Modelling programme is offered by The Open University UK.
Introduction to Statistics
The Introduction to Statistics course from Utrecht University will provide you with a basic understanding of statistics. Geared towards people studying and working in the health domain, the course will enable you to interpret research data, and to explain and use different types of variables.
Observation Theory - Estimating the Unknown
This Observation Theory - Estimating the Unknown at Delft University of Technology (TU Delft) is the course that teaches you how to find the best estimates of the unknown parameters from noisy observations. You will also learn how to assess the quality of your results.
Business Statistics and Analysis Capstone
This Business Statistics and Analysis Capstone course offered by Coursera in partnership with Rice University is an opportunity to apply various skills developed across the four courses in the specialization to a real life data.
Introduction to Data Analysis Using Excel
This Introduction to Data Analysis Using Excel course offered by Coursera in partnership with Rice University is designed keeping in mind two kinds of learners - those who have very little functional knowledge of Excel sand those who use Excel regularly but at a peripheral level and wish to enhance their skills.
Quantitative Methods
The Quantitative Methods course is offered by Coursera in partnership with University of Amsterdam is part of the Methods and Statistics in Social Sciences Specialization.
SAS Statistical Business Analyst
This SAS Statistical Business Analyst courses offered by Coursera in partnership with SAS is for those who want to enhance their predictive and statistical modeling skills to drive data-informed business outcomes.
Introduction to Statistics and Data Analysis in Public Health
This Introduction to Statistics and Data Analysis in Public Health course offered by Coursera in partnership with Imperial College London will sharpen your ability to think critically and not take things for granted: in this age of uncontrolled algorithms and fake news, these skills are more important than ever.
Multivariate Probability Distributions in R
In this Multivariate Probability Distributions in R course offered by Data Camp you will learn to analyze, plot, and model multivariate data.
Error and Uncertainty in Google Sheets
In this Error and Uncertainty in Google Sheets course offered by Data Camp you will learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.
Introduction to Statistics in Google Sheets
In this Introduction to Statistics in Google Sheets course offered by Data Camp you will learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.
Practicing Statistics Interview Questions in Python
In this Practicing Statistics Interview Questions in Python course offered by Data Camp you will prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.
Introduction to Statistics
In this Introduction to Statistics course offered by Data Camp you will learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!
Introduction to Predictive Analytics in Python
In this Introduction to Predictive Analytics in Python course offered by Data Camp you will learn to use and present logistic regression models for making predictions.
Understanding Clinical Research - Behind the Statistics
If you are simply interested in properly understanding the published literature or if you are embarking on conducting your own research, this Understanding Clinical Research - Behind the Statistics course offered by Coursera in partnership with University of Cape Town is your first step.
Introduction to Anomaly Detection in R
In this Introduction to Anomaly Detection in R course offered by Data Camp you will learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.
Generalized Linear Models in Python
In this Generalized Linear Models in Python course offered by Data Camp you will extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.
Mixture Models in R
In this Mixture Models in R course offered by Data Camp you will learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.
Intermediate Regression in R
In this Intermediate Regression in R course offered by Data Camp you will learn to perform linear and logistic regression with multiple explanatory variables.