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Explore the Statistics for Data Science Course Catalog
Status: Free TrialSkills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter
Status: PreviewStanford University
Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Data Collection, Probability Distribution
Status: NewStatus: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Probability, Markov Model, Probability & Statistics, Estimation, Probability Distribution, Bayesian Statistics, Statistical Methods, Statistical Inference, Sampling (Statistics), Advanced Analytics, Statistical Analysis, Statistics, Mathematical Modeling, Data Analysis, Statistical Modeling, Data Science, Machine Learning Algorithms, Generative AI Agents, Artificial Intelligence
Status: NewSkills you'll gain:
Status: NewSkills you'll gain:
Status: NewStatus: Free TrialUniversity of Pittsburgh
Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
What brings you to Coursera today?
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling
Status: Free TrialDeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization
Status: Free TrialUniversity of Michigan
Skills you'll gain: Sampling (Statistics), Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Visualization, Statistics, Data Visualization, Descriptive Statistics, Bayesian Statistics, Data Visualization Software, Jupyter, Histogram, Probability & Statistics, Matplotlib, Data Analysis, Statistical Analysis, Box Plots, Statistical Programming, Python Programming
Status: Free TrialGoogle
Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Statistical Hypothesis Testing, Data Analysis, Probability Distribution, Statistics, Data Science, Statistical Analysis, A/B Testing, Statistical Methods, Probability, Statistical Inference, Statistical Programming, Python Programming, Technical Communication
Coursera Project Network
Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference
Status: Free TrialUniversity of Pennsylvania
Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics
Statistics For Data Science learners also search
In summary, here are 10 of our most popular statistics for data science courses
- Statistics for Data Science with Python: IBM
- Introduction to Statistics: Stanford University
- Foundations of Probability and Statistics: University of Colorado Boulder
- Data Science Fundamentals, Part 1: Pearson
- Data Science Fundamentals, Part 2: Pearson
- Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
- Advanced Statistics for Data Science: Johns Hopkins University
- Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
- Statistics with Python: University of Michigan
- The Power of Statistics: Google
