Statistics For Data Science Courses
Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.
Popular Statistics For Data Science Courses and Certifications
Skills you'll gain: Data Storytelling, Dashboard Creation, Dashboard, Data Presentation, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Data Wrangling, Plot (Graphics), Exploratory Data Analysis, Model Evaluation, Data Analysis, Data Import/Export, Python Programming, Data Science, NumPy, Data Compilation, Data Collection, Machine Learning
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, R (Software), Statistical Reporting, Probability & Statistics, Probability Distribution, Statistical Analysis, Statistical Methods, Statistics, Statistical Programming, Statistical Software, Data Analysis, Probability, R Programming, Statistical Modeling, Data Visualization
University of Amsterdam
Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Science and Research, Research Design, Sampling (Statistics), Research Reports, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Probability & Statistics, Social Sciences, Statistical Methods, Regression Analysis, Statistical Inference, Statistics, R Programming
Skills you'll gain: Data Import/Export, Python Programming, NumPy, Scripting, Data Collection, Data Analysis
University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Statistical Programming, R (Software), Probability & Statistics, Statistical Modeling, Technical Communication, Probability, Statistics, Statistical Analysis, Statistical Reporting, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Data Science
University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Probability & Statistics, Data-Driven Decision-Making, Statistical Analysis, Data Analysis, Sampling (Statistics), Jupyter, Analysis, Statistical Programming, Python Programming
Johns Hopkins University
Skills you'll gain: Bioinformatics, Unix Commands, grep, Biostatistics, R (Software), Exploratory Data Analysis, Statistical Analysis, Unix Shell, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Structures, Big Data, Molecular Biology, R Programming, Python Programming
University of Michigan
Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Applied Machine Learning, Supervised Learning, Text Mining, Statistical Visualization, Network Model, Data Manipulation, NumPy, Data Preprocessing, Natural Language Processing, Python Programming
Johns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, R (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Data Processing, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, Knitr, Data Sharing, GitHub, Machine Learning
Duke University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Statistical Programming, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation
Imperial College London
Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Machine Learning Methods, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation
University of California, Davis
Skills you'll gain: Data Governance, SQL, Data Quality, Data Literacy, Query Languages, Database Management, Data Modeling, Relational Databases, Data Manipulation, Data Science, Data Wrangling, Data Analysis, Data Transformation, Descriptive Analytics
In summary, here are 10 of our most popular statistics for data science courses
- Applied Data Science: IBM
- Data Analysis with R: Duke University
- Methods and Statistics in Social Sciences: University of Amsterdam
- Python for Data Science, AI & Development: IBM
- Bayesian Statistics: University of California, Santa Cruz
- Inferential Statistical Analysis with Python: University of Michigan
- Genomic Data Science: Johns Hopkins University
- Applied Data Science with Python: University of Michigan
- Data Science: Foundations using R: Johns Hopkins University
- Inferential Statistics: Duke University
