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141 Part-time Short courses in Statistics
Intro to Inferential Statistics
This Intro to Inferential Statistics course from Udacity will teach you how to test your hypotheses and begin to make predictions based on statistical results drawn from data
Statistical Methods for Risk Prediction and Prognostic Models
The Statistical Methods for Risk Prediction and Prognostic Models (Online) course from the University of Birmingham provides a thorough foundation of statistical methods for developing and validating risk prediction and prognostic models in healthcare research.
Time Series Forecasting
The Time Series Forecasting course from Udacity is based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.
Statistics and Research Methods - an Introduction (Online, Self Paced)
UCL's Statistics and Research Methods - an Introduction (Online, Self Paced) online, self-paced course will give you a comprehensive introduction to research methods and statistics.
Introduction to Multilevel and Mixed Effects Models using R
This Introduction to Multilevel and Mixed Effects Models using R course at Nottingham Trent University offers a thorough, hands-on introduction to working with R and RStudio, which is the most widely used integrated development environment for R.
Statistical Inference in R
In this Statistical Inference in R course offered by Data Camp you will learn a core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.
Time Series Analysis in Python
In this Time Series Analysis in Python course offered by Data Camp you will learn the basics of analyzing time series data in Python.
Statistics As a Managerial Tool
This Statistics As a Managerial Tool course offered by Red River College Polytechnic looks at common graphical representations of data and how these can be effective tools to explain situations and support persuasive arguments for a course of action.
Statistical analysis with missing data
Through computer practicals using Stata, participants of the Statistical analysis with missing data course offered by London School of Hygiene and Tropical Medicine will learn how to apply the statistical methods introduced in the course to realistic datasets.
Introduction to Hospital Episode Statistics
Hospital Episode Statistics (HES) is the national hospital admission database for England, which is increasingly being used for research, clinical outcomes monitoring, and public health and service planning. UCL offers the Introduction to Hospital Episode Statistics programme.
Qualitative Interviewing and Analysis Using MAXQDA
The Qualitative Interviewing and Analysis Using MAXQDA course from University of Essex is designed to equip participants with the skills and confidence to conduct their own research projects using qualitative interviews and then to analyse the resultant data using the software programme MAXQDA.
Understanding and Applying Regression Models
Become confident in using multivariable regression techniques to analyse a wide variety of health research data and answer specific research questions with this Understanding and Applying Regression Models course at the University of Aberdeen.
Statistics for International Business
This Statistics for International Business course offered by Coursera in partnership with University of London is part of the International Business Essentials Specialization.
Statistics with Python
Practical and Modern Statistical Thinking For All. Use Python for statistical visualization, inference, and modeling. The Statistics with Python Specialization is offered by Coursera in partnership with University of Michigan.
Building Response Models in R
In this Building Response Models in R course offered by Data Camp you will learn to build simple models of market response to increase the effectiveness of your marketing plans.
Introduction to Regression in R
In this Introduction to Regression in R course offered by Data Camp you will predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
Marketing Analytics in R
In this Marketing Analytics in R course offered by Data Camp you will grow the R skills you need to work with social media data, perform market basket analysis, and use machine learning to guide your marketing decisions.
Statistical Simulation in Python
In this Statistical Simulation in Python course offered by Data Camp you will learn to solve increasingly complex problems using simulations to generate and analyze data.
Hierarchical and Mixed Effects Models in R
In this Hierarchical and Mixed Effects Models in R course offered by Data Camp you will learn to fit hierarchical models with random effects.
Predictive Analytics using Networked Data in R
In this Predictive Analytics using Networked Data in R course offered by Data Camp you will learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network