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141 Part-time Short courses in Statistics
Introduction to Regression with statsmodels in Python
In this Introduction to Regression with statsmodels in Python course offered by Data Camp you will predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.
Generalized Linear Models in R
In this Generalized Linear Models in R course offered by Data Camp you will expand your regression toolbox to include logistic and Poisson regression.
Statistician in R
In this Statistician in R course offered by Data Camp you will learn how to collect and analyze data and help companies make sense of quantitative data, including spotting trends and making predictions.
Factor Analysis in R
In this Factor Analysis in R course offered by Data Camp you will explore latent variables, such as personality, using exploratory and confirmatory factor analyses.
Statistics and Research Methods - an Introduction (Evening Course)
UCL's Statistics and Research Methods - an Introduction (Evening Course) evening course will give you a comprehensive introduction to the fundamental aspects of research methods and statistics. It's suitable for those new to quantitative research.
Introduction to SPSS
UCL's Introduction to SPSS course will introduce you to the uses and functions of the statistical software SPSS. It covers data entry and editing, and the basics of analyses and graphs.
Introducing Statistics
Today, more than ever, statistics is part of our lives. The Introducing Statistics programme offered by The Open University UK will help you learn how to use basic statistical tools and quantitative methods that are useful in business, government, industry, medicine, the economy, and most academic subjects.
Probability and Statistics in Data Science using Python
EdX is an online learning platform trusted by over 12 million users offering the Probability and Statistics in Data Science using Python Program in collaboration with University of California, San Diego - UC San DiegoX. Using Python, learn statistical and probabilistic approaches to understand and gain insights from data.
Business Applications of Hypothesis Testing and Confidence Interval Estimation
This Business Applications of Hypothesis Testing and Confidence Interval Estimation course offered by Coursera in partnership with Rice University is the third course in the specialization "Business Statistics and Analysis" and the course advances your knowledge about Business Statistics by introducing you to Confidence Intervals and Hypothesis Testing.
Inferential and Predictive Statistics for Business
This Inferential and Predictive Statistics for Business course offered by Coursera in partnership with University of Illinois is part of the Managerial Economics and Business Analysis Specialization.
Python and Statistics for Financial Analysis
This Python and Statistics for Financial Analysis offered by Coursera in partnership with The Hong Kong University of Science and Technology combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.
Applied Statistics for Engineers
This Applied Statistics for Engineers course at IDC Technologies is designed to help students to understand the fundamentals of random variables, probability distribution and decision making and also to analyze statistical data graphically using frequency distributions and cumulating frequency distributions.
Introduction to Statistics Using R and RStudio
This Introduction to Statistics Using R and RStudio course at Nottingham Trent Universityoffers a thorough, hands-on introduction to working with R and RStudio, which is the most widely used integrated development environment for R.
Statistical Thermodynamics
This Statistical Thermodynamics Specialization offered by Coursera in partnership with University of Colorado Boulder was developed for the mechanical or aerospace engineering advanced undergraduate graduate or graduate student who already has a strong background in undergraduate engineering thermodynamics and is ready to tackle the underlying fundamentals of the subject.
Bayesian Statistics
This Bayesian Statistics course offered by Coursera in partnership with Duke University describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates.
Intermediate Network Analysis in Python
In this Intermediate Network Analysis in Python course offered by Data Camp you will analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
Foundations of Probability in R
In this Foundations of Probability in R course offered by Data Camp you will learn about the concepts of random variables, distributions, and conditioning.
Hypothesis Testing in Python
In this Hypothesis Testing in Python course offered by Data Camp you will learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.
Case Studies in Statistical Thinking
In this Case Studies in Statistical Thinking course offered by Data Camp you will take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.
Bayesian Modeling with RJAGS
In this Bayesian Modeling with RJAGS course offered by Data Camp you will learn how to implement more advanced Bayesian models using RJAGS.