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Find the Best Statistics Course for Your Goals
Status: Free TrialSkills you'll gain: Data Warehousing, Extract, Transform, Load, Apache Airflow, Linux Commands, SQL, IBM Cognos Analytics, Data Pipelines, Apache Kafka, Bash (Scripting Language), Shell Script, Data Visualization, Dashboard, File Management, Star Schema, IBM DB2, Business Intelligence, Interactive Data Visualization, Relational Databases, Stored Procedure, Databases
Status: Free TrialStanford University
Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing
Status: NewStatus: PreviewSkills you'll gain: Data Storytelling, Data Presentation, Plotly, Matplotlib, Exploratory Data Analysis, Plot (Graphics), Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Seaborn, Data Analysis, Box Plots, Descriptive Statistics, Jupyter, Data Science, Anomaly Detection, Python Programming, GitHub
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Quantitative Research, Public Health
Status: Free TrialImperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Machine Learning, Calculus
Status: Free TrialJohns Hopkins University
Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Graphing, Probability & Statistics
Status: PreviewGeorgia Institute of Technology
Skills you'll gain: Materials science, Informatics, Data Science, Data Mining, Data Integration, Data-Driven Decision-Making, Data Processing, Systems Design, Engineering Analysis, Big Data, Structural Analysis, Statistics
Status: Free TrialUniversity of Minnesota
Skills you'll gain: Taxonomy, AI Personalization, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Statistical Methods, Persona Development, Text Mining, Descriptive Statistics, Data Collection, Algorithms, Computer Programming, Java
Status: Free TrialJohns Hopkins University
Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Molecular Biology, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Statistical Modeling, Data Structures, R Programming, Computational Thinking, Jupyter, Python Programming
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Combinatorics, Probability, Probability Distribution, Algorithms, Bayesian Statistics, Mathematical Modeling, Statistics, Arithmetic, Python Programming, Simulations
Status: PreviewUniversity of Michigan
Skills you'll gain: Data Analysis, Analytical Skills, Experimentation, Critical Thinking, Research Design, Behavioral Economics, Decision Making, Regression Analysis, Statistical Inference, Probability, Correlation Analysis, Adaptability
Status: Free TrialUniversity of Michigan
Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm, Regression Analysis
In summary, here are 10 of our most popular statistics courses
- BI Foundations with SQL, ETL and Data Warehousing:Â IBM
- Probabilistic Graphical Models 1: Representation:Â Stanford University
- Explore and Visualize Data the Python Way:Â Coursera
- Hypothesis Testing in Public Health :Â Johns Hopkins University
- Mathematics for Machine Learning: PCA:Â Imperial College London
- Algebra: Elementary to Advanced - Equations & Inequalities:Â Johns Hopkins University
- Materials Data Sciences and Informatics:Â Georgia Institute of Technology
- Introduction to Recommender Systems: Non-Personalized and Content-Based:Â University of Minnesota
- Genomic Data Science:Â Johns Hopkins University
- Combinatorics and Probability:Â University of California San Diego
