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
SkillUp
Skills you'll gain: Forecasting, Classification Algorithms, Dimensionality Reduction
Johns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Sharing, GitHub, Machine Learning
University of California, Davis
Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Modeling, Relational Databases, Data Manipulation, Data Science, Data Analysis, Descriptive Statistics
University of Michigan
Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Scientific Visualization, Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Data Manipulation, NumPy, Graph Theory, Data Preprocessing, Natural Language Processing, Python Programming
University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Methods, Probability & Statistics, Statistics, Statistical Modeling, Probability, Probability Distribution, Data Analysis, R Programming, Regression Analysis, R (Software), Microsoft Excel, Analytical Skills, Statistical Visualization, Predictive Modeling, Data Visualization, Data Modeling
Status: Hands-On ProjectsSkills you'll gain: Data Storytelling, Data Visualization, A/B Testing, Sampling (Statistics), Data Analysis, Exploratory Data Analysis, Regression Analysis, Data Visualization Software, Data Presentation, Data Ethics, Feature Engineering, Statistical Hypothesis Testing, Statistics, Statistical Analysis, Data Science, Tableau Software, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
Skills you'll gain: Analytical Skills, Statistical Methods, Exploratory Data Analysis, Business Analytics, Data Analysis, Statistical Analysis, R Programming, Visualization (Computer Graphics), Predictive Analytics, Statistical Modeling, Data Structures, Time Series Analysis and Forecasting, Regression Analysis, Programming Principles, Decision Tree Learning
Johns Hopkins University
Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Data Quality, Data Structures, Data Analysis, Computer Science, Molecular Biology, R Programming, Python Programming
Coursera
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Business Analytics, Sample Size Determination, Statistical Analysis, Data Analysis, Statistical Methods, A/B Testing, Statistical Software, Estimation, Data-Driven Decision-Making, Business Communication
University of Colorado Boulder
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution, Calculus
Johns Hopkins University
Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Programming Principles, Data Manipulation, Data Structures, Performance Tuning, Data Import/Export
University of California, Davis
Skills you'll gain: Dashboard, Data Storytelling, Tableau Software, Data Presentation, Data Visualization, Advanced Analytics, Stakeholder Analysis, Interactive Data Visualization, Data Visualization Software, Data Literacy, Design Elements And Principles, Exploratory Data Analysis, Proposal Development, Data Ethics, Data Analysis, Visualization (Computer Graphics), Pivot Tables And Charts, Data Mapping, Tree Maps, Storyboarding
Searches related to statistics for data science
In summary, here are 10 of our most popular statistics for data science courses
- Data Science for Healthcare: SkillUp
- Data Science: Foundations using R: Johns Hopkins University
- SQL for Data Science: University of California, Davis
- Applied Data Science with Python: University of Michigan
- Bayesian Statistics: From Concept to Data Analysis: University of California, Santa Cruz
- Google Advanced Data Analytics: Google
- Analyze Data Using R for Statistical Analytics: EDUCBA
- Genomic Data Science: Johns Hopkins University
- Run Inference & Hypothesis Tests: Coursera
- Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
