Blättern
Basic Statistics

Filtern nach

676 Ergebnisse für „basic statistics“

University of Amsterdam
Basic Statistics
Kompetenzen, die Sie erwerben: Data Analysis, Correlation And Dependence, Basic Descriptive Statistics, Experiment, Probability Distribution, Statistical Tests, General Statistics, Probability & Statistics, Regression, Statistical Hypothesis Testing, Probability, Hypothesis Testing, Analysis, Hypothesis, Confidence
4.6
(4.2k Bewertungen)
Beginner · Course · 1-3 Months
Kostenlos
Stanford University
Introduction to Statistics
Kompetenzen, die Sie erwerben: Data Analysis, Econometrics, Basic Descriptive Statistics, Machine Learning, Correlation And Dependence, Experiment, Probability Distribution, Data Visualization, Statistical Tests, Statistical Analysis, Plot (Graphics), Markov Model, Probability & Statistics, Regression, General Statistics, Bayesian Statistics, Probability, Statistical Hypothesis Testing, Hypothesis, Inference, Statistical Inference
4.5
(1.4k Bewertungen)
Beginner · Course · 1-3 Months
Kostenlos
MathWorks
Practical Data Science with MATLAB
Kompetenzen, die Sie erwerben: Algebra, Analysis, Applied Machine Learning, Business Analysis, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Management, Data Visualization, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, Feature Engineering, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematics, Matlab, Plot (Graphics), Probability & Statistics, Probability Distribution, Regression, Statistical Analysis, Statistical Visualization, Web Development
4.7
(937 Bewertungen)
Beginner · Specialization · 3-6 Months
Imperial College London
Mathematics for Machine Learning: PCA
Kompetenzen, die Sie erwerben: Basic Descriptive Statistics, Linear Algebra, Data Analysis, Dimensionality Reduction, Mathematics, Machine Learning, Probability & Statistics, Statistical Programming, Probability Distribution, Python Programming, General Statistics, Analysis, Linearity, Matrices, Algebra, Lambda Calculus, Computer Programming, Computer Graphic Techniques, Computer Graphics
4.0
(2.8k Bewertungen)
Intermediate · Course · 1-4 Weeks
MathWorks
Data Processing and Feature Engineering with MATLAB
Kompetenzen, die Sie erwerben: Data Visualization, Data Analysis, Feature Engineering, Matlab, Data Analysis Software, Mathematics, Linear Algebra, Exploratory Data Analysis, Data Management, Correlation And Dependence, Machine Learning, Statistical Analysis, Statistical Visualization, Probability & Statistics, Plot (Graphics), Probability Distribution, Business Analysis
4.7
(308 Bewertungen)
Intermediate · Course · 1-3 Months
MathWorks
Predictive Modeling and Machine Learning with MATLAB
Kompetenzen, die Sie erwerben: Data Analysis, Data Analysis Software, Machine Learning, Econometrics, Mathematics, General Statistics, Machine Learning Algorithms, Web Development, Regression, Matlab, Probability & Statistics, Applied Machine Learning, Algebra, Predictive Modelling, Analysis
4.8
(101 Bewertungen)
Intermediate · Course · 1-4 Weeks

Suchanfragen mit Bezug zu basic statistics

basic statistics in python (correlations and t-tests)

basic statistics in python (anova)

rstudio for six sigma - basic descriptive statistics

basic data descriptors, statistical distributions, and application to business decisions

Zusammenfassend sind hier 10 unserer beliebtesten basic statistics Kurse

Basic Statistics: University of Amsterdam
Introduction to Statistics: Stanford University
Introduction to Predictive Modeling: University of Minnesota
Epidemiology: The Basic Science of Public Health: The University of North Carolina at Chapel Hill
Basic Statistics in Python (Correlations and T-tests): Coursera Project Network
Basic Statistics in Python (ANOVA): Coursera Project Network
Practical Data Science with MATLAB: MathWorks
Exploratory Data Analysis with MATLAB: MathWorks
Mathematics for Machine Learning: PCA: Imperial College London
Six Sigma Tools for Analyze: University System of Georgia

Andere wissenswerte Themen

Kunst und Geisteswissenschaften

Datenverarbeitung

Informationstechnologie

Mathematik und Logik

Persönliche Entwicklung

Physik und Ingenieurwesen

Sozialwissenschaften

Sprachen lernen